Abstract
Peptide-based cancer vaccines offer a promising strategy for targeting tumor-specific neoantigens. This approach is increasingly critical as post-translationally modified peptides, driven by altered tumor metabolism, emerge as a unique class of neoantigens. Because these chemically distinct epitopes cannot be genetically encoded by mRNA or viral platforms, synthetic peptide vaccines are poised to be the primary route to targeting these types of neoantigens. Yet, their clinical translation is restricted by poor metabolic stability, limited intracellular permeability, and structural requirements for MHC-I binding and T cell receptor recognition. Although peptidomimetic modifications have been widely explored to improve pharmacokinetics, their impact on antigen presentation and immune recognition remains poorly understood. Here, we undertook a comprehensive evaluation of peptidomimetic modifications within a model MHC-I epitope from ovalbumin (OVA), SIINFEKL, generating a diverse library of systematically modified peptides that incorporate backbone N-methylation, peptoid substitution, and stereochemical inversion. Integrated assays revealed a highly position-dependent tolerance to peptidomimetic modifications, while subsequent combinatorial designs demonstrated nonadditive effects on the balance between immunogenicity and pharmacokinetics. Collectively, these findings provide initial design insights for balancing immune recognition with enhanced stability and permeability in the peptidomimetic antigen design.


Introduction
The adaptive immune system continuously monitors cells for signs of infection, malignancy, or other aberrations through sophisticated molecular recognition mechanisms. Central to this surveillance is the presentation of intracellular peptides to patrolling cytotoxic T cells, enabling the immune system to distinguish healthy cells from compromised ones. Major histocompatibility complex class I (MHC-I) molecules are membrane proteins expressed on nearly all nucleated cells, serving a role in immune surveillance. Their principal function is to present intracellularly derived peptides, typically 8–10 amino acids in length, on the cell surface bound to the MHC-I binding groove. These peptide-MHC complexes (pMHCs) are recognized by T cell receptors (TCRs) on CD8+ cytotoxic T lymphocytes (CTLs), triggering T cell activation and subsequent destruction of the infected or abnormal cells.
In cancer, tumor-associated and tumor-specific peptides can arise from proteomic alterations such as somatic mutations, aberrant splicing, − or post-translational modifications (PTMs), generating chemically distinct neoantigens that differ fundamentally from normal self-peptides. In the case of PTMs, because these unique structural modifications cannot be genetically encoded by mRNA or other genetically based viral platforms, harnessing them to elicit potent anticancer immune responses strictly requires synthetic peptide-based vaccination. This immunological distinction has positioned neoantigens as valuable targets for personalized cancer immunotherapy.
To translate these candidates into the clinic, a promising strategy utilizes these synthetic peptides to target antigen-presenting cells (APCs), allowing them to naturally process and present MHC-I-restricted epitopes to prime tumor-specific T cells (Figure a). − These vaccines offer distinct advantages, including tumor specificity, higher safety, ease of synthesis, chemical stability, and compatibility with adjuvants or delivery systems. Their feasibility has been demonstrated in clinical trials for solid tumors, particularly melanoma, often in combination with immune checkpoint inhibitors or dendritic cell-based vaccination strategies. − While these advances highlight the therapeutic potential of modified neoantigens, systematic experimental frameworks to evaluate how defined chemical modifications influence antigen presentation and T cell recognition remain limited, particularly in controlled model systems.
1.
(a) Schematic illustrating the general mechanism of peptide vaccines for cancer. Cancer vaccines activate the host immune system by delivering synthetic peptides to antigen-presenting cells (APCs), allowing them to naturally process and present MHC-I-restricted epitopes to prime tumor-specific T cells. (b) Schematic depicting the three central challenges of synthetic peptide vaccines: poor pharmacokinetic stability, low immunogenicity, and inefficient cellular uptake. (c) Chemical structure of ovaWT. Purple and orange side chains highlighted indicate buried and solvent-exposed residues, respectively. (d) Schematic illustrating the RMA-S stabilization assay. (e) Schematics depicting generic unmodified (WT) tripeptide, as well as tripeptides with single N-methylation, peptoid, and d-amino acid modifications.
Here, we performed a systematic investigation of the impact of various peptidomimetic modifications on the fundamental mechanics of antigen presentation, covering MHC-I binding, TCR recognition, cellular permeability, and serum stability. More specifically, we generated and characterized a panel of modified analogs of SIINFEKL, a canonical MHC-I epitope derived from ovalbumin. Through integrated biochemical and cellular assays, we determine how N-methylation, peptoid, and d-amino acid substitutions modulate peptide behavior across these parameters. Our findings suggest a framework for optimizing the design of peptidomimetic vaccines with retained immunological properties.
Results
Synthetic peptide vaccines face three central challenges: poor pharmacokinetic stability, low immunogenicity, and inefficient cellular uptake (Figure b). First, rapid recognition and cleavage by serum proteases compromise pharmacokinetics and can diminish sustained antigen exposure. A second major limitation of peptide vaccines is their inherently low immunogenicity. Effective immune recognition requires two stringent molecular interactions: (1) the peptide must bind to MHC-I with sufficient affinity to form a stable complex, and (2) the resulting complex must be recognized by a specific TCR. , Even minor alterations to key anchor residues within the peptide can drastically reduce MHC binding, while changes at solvent-exposed positions can abolish TCR recognition. , Consequently, the limited antigenicity of short peptides typically necessitates coadministration with immunostimulatory adjuvants or carrier systems to elicit robust immune responses. A third, often underappreciated challenge is limited cellular uptake, as variations in peptide permeability may influence antigen fate following immunization. Due to their size and polarity, exogenous peptides passively diffuse across lipid bilayers inefficiently, instead remaining extracellular and vulnerable to degradation. − As a result, only a small fraction reaches the cytosol for loading onto MHC-I molecules. This poor membrane permeability renders them generally unsuitable for oral administration, as they cannot traverse the intestinal epithelium to enter systemic circulation effectively. Furthermore, even when internalized by antigen-presenting cells (APCs) via endocytosis, peptides often remain trapped in endosomes, struggling to escape into the cytosol where the proteasomal processing required for MHC-I cross-presentation occurs. Permeability may also exert an indirect effect via uptake by APCs of antigen-loaded cell debris. Permeable peptides can enter non-APCs and become intracellular antigens. During immunization, inflammation at injection sites recruits innate immune cells and promotes necrosis. When those non-APC “donor” cells die, their contents (including internalized peptides) are released and captured by APCs through cross-priming pathways. , Specialized dendritic cell subsets are particularly adept at phagocytosing dying cells and diverting internalized antigens into the MHC-I processing pathway. , Thus, enhanced peptide permeability may expand the available pool of antigenic material through both direct and indirect mechanisms. However, the extent to which intracellular accumulation of peptide analogs contributes to these processes depends on cellular context and remains difficult to isolate experimentally.
Multiple strategies have been considered to address bottlenecks to peptide vaccines, primarily focusing on structural modifications to enhance peptide stability and immunogenicity. These approaches, broadly, aim to enhance protease resistance and bioavailability while preserving the physicochemical properties required for antigen presentation. To overcome these challenges, multiple stabilization strategies have been explored. These include cyclization, − PEGylation, , side chain substitutions (e.g., l- to d-amino acid inversion, − retro-inversion − ), backbone modifications (e.g., α- to β-amino acid replacement, − thioamide substitution, N-methylation, , reduction , ), combined backbone and side chain alterations (N-alkyl glycines or peptoids), − and modifications at the termini (N-terminal methylation and C-terminal amidation). Examples of such modifications have been applied to clinically relevant epitopes such as MAGE-1.A1, Melan-A/MART-1, ,, and UTA2–1, improving antigenicity and proteolytic stability. While increasing peptide stability is a standard strategy for enhancing vaccine efficacy, optimizing cellular uptake has received less attention, despite its critical role. The relationship between structural modifications and peptide accumulation in mammalian cells is well understood; however, these principles have not yet been evaluated in the context of MHC presentation. Specifically, N-methylation and stereoinversion are strategies commonly employed to optimize peptide stability and permeability. − Since prior studies, including our own work, demonstrate that these modifications can drive peptide accumulation, they represent a promising, underexplored avenue for enhancing vaccine delivery.
Design of Peptidomimetic Libraries and Effect of Peptidomimetic Substitutions on pMHC-I Stability
To establish a consistent framework for our libraries, we selected the base model epitope SIINFEKL (ovaWT, Figure c) derived from the protein ovalbumin (OVA). SIINFEKL is widely employed in antigen presentation studies due to its well-characterized interactions with the murine MHC-I molecule H-2Kb and SIINFEKL-specific TCRs, providing a robust system for comprehensively analyzing structural modifications. This model system enables controlled interrogation of modification effects within a defined epitope context. To assess the influence of peptidomimetic modifications on pMHC-I stability, we used RMA-S cells, a cell line lacking functional transporters associated with antigen processing (TAP). , TAP transports cytosolic peptides into the endoplasmic reticulum (ER) for loading onto MHC-I molecules. In the absence of TAP, endogenous antigen presentation is compromised, and unloaded MHC-I molecules become unstable, leading to significantly reduced surface expression of the H-2Kb haplotype (Figure d). However, lowering the incubation temperature promotes the transient surface expression of these empty MHC-I molecules. Subsequent incubation with high-affinity extracellular peptides stabilizes the H-2Kb complexes, allowing them to remain on the cell surface even after returning to physiological temperature (37 °C). Previous studies have demonstrated a strong correlation between the abundance of surface pMHC-I complexes and peptide affinity for H-2Kb. − Thus, this system provides a controlled cell-based platform to isolate the effects of peptidomimetic modifications on pMHC-I binding.
Building on the base ovaWT peptide, we first generated a library of N-methylated peptides (Figure e), in which each variant contained a single backbone methylation systematically introduced across the entire ovaWT sequence (ovaNmet1–8) (Figure a). As described briefly above, N-methylation can sterically hinder proteolytic access to the backbone and eliminate the amide hydrogen bond donor, thereby reducing the energetic penalty associated with desolvation during membrane traversal. Although these effects can synergistically enhance metabolic stability and passive permeability, they may also fundamentally reshape the peptide’s conformational landscape. The introduced methyl group at the backbone nitrogen restricts rotation about adjacent torsion angles and increases the propensity for cis-amide isomer formation. This modification effectively rigidifies the peptide backbone and biases conformational sampling toward more preorganized states. Given these structural and biophysical consequences, it is critical to empirically and systematically evaluate the impact of this modification in the context of MHC biology.
2.
(a, c, e) Chemical structures of the singly substituted (a)N-methylation, (b) peptoid, or (e) d-amino acid libraries. (b, d, f) Dose–response curves from flow cytometry analysis of the RMA-S stabilization assay for (b) N-methylation, (d) peptoid, and (f) d-amino acid libraries. RMA-S cells were incubated with the indicated concentration of ovaWT and peptidomimetics from singly substituted libraries. H-2Kb expression was analyzed via flow cytometry by APC antimouse H-2Kb antibody. MFI is the mean fluorescence intensity of the level of fluorescence relative to the DMSO control. Data are represented as mean ± SD (n = 3), and Boltzmann sigmoidal curves were fitted to the data using GraphPad Prism.
Our data revealed that several of the N-methylated variants retained measurable ability to stabilize the pMHC complex (Figure b). In particular, ovaNmet6 and ovaNmet7, featuring backbone N-methylation at the glutamic acid and lysine residues, respectively, exhibited pMHC stability comparable to that of the unmodified ovaWT. In contrast, three of the N-methylated derivatives completely abolished MHC binding: both isoleucine variants (ovaNmet2 and ovaNmet3) and the leucine variant (ovaNmet8). These findings are consistent with the established characteristics of the ovaWT-H-2Kb complex. According to its crystal structure, three of the eight side chains (isoleucine at position 2, phenylalanine at position 5, and leucine at position 8) are completely buried within the binding pocket, while two residues (serine at position 1, isoleucine at position 3) are largely buried, leaving three (asparagine at position 4, glutamic acid at position 6, and lysine at position 7) solvent-exposed. Prior mutagenesis studies have shown that alanine substitutions within ovaWT at positions P3, P5, and P8 reduce stability in the RMA-S assay, whereas substitutions at P4, P6, and P7 impair T cell recognition. These precedents align with our own observations: N-methylation at positions 2, 3, and 8 (residues buried in the binding groove) was found to be intolerable to modification. Although the effect may be primarily steric, changes in hydrogen bond engagement or cis–trans isomerization likely also contribute. Notably, although phenylalanine at position 5 serves as a critical anchor residue, backbone N-methylation at this site resulted in only a moderate reduction in pMHC stability. Taken together, these results highlight the more stringent structural constraints imposed on buried residues, standing in contrast to the potential plasticity of the solvent-exposed positions.
Next, we constructed a peptoid library (Figure e) by incorporating a single N-substituted glycine unit at varying positions along the ovaWT backbone (ovaNalk1–8) (Figure c). Of note, for ovaNalk1, serine could not be directly translated into a peptoid residue, as β-hydroxy peptoid side chains are unstable during solid-phase synthesis due to favorable intramolecular cyclization; therefore, a homoserine analog was used instead. Unlike peptides, peptoids feature side chains attached to the backbone nitrogen rather than the α-carbon, allowing for the retention of the side chain identity while altering the spatial orientation. This backbone reconfiguration confers near-complete resistance to proteolysis, as the modified amide linkage is poorly recognized by proteolytic enzymes. Moreover, substitution at the backbone nitrogen eliminates the amide hydrogen bond donor, significantly reducing the energetic penalty of desolvation and thereby potentially enhancing membrane permeability. However, these advantages are accompanied by conformational consequences. The absence of backbone chirality and hydrogen bonding capacity results in a conformationally flexible (“floppy”) scaffold. Peptoids typically exhibit low rotational barriers about backbone torsion angles and high cis/trans amide heterogeneity, leading to a highly dynamic conformational ensemble.
We evaluated our peptoid-modified series using the RMA-S assay (Figure d). Prior work has demonstrated that even a single peptide-to-peptoid substitution at a solvent-exposed residue of an MHC-II ligand can substantially diminish binding, suggesting that peptoid analogues might not be tolerated. In contrast, we observed that peptoid substitutions at asparagine (ovaNalk4), glutamic acid (ovaNalk6), and lysine (ovaNalk7) preserved pMHC stability similar to that of unmodified ovaWT, whereas substitution at serine (ovaNalk1) caused a moderate decrease. Consistent with trends observed in the N-methylation library, peptoid modification at either isoleucine (ovaNalk2 and ovaNalk3) completely abolished pMHC stability. Moreover, unlike the N-methylated series, peptoid substitution at the phenylalanine anchor residue (ovaNalk5) also eliminated pMHC complex stability, consistent with expectations from the crystal structure. Collectively, these results underscore a distinct structure–activity relationship in which solvent accessibility governs the permissibility of peptoid substitution, sharply contrasting with the stringent steric and conformational constraints imposed at primary anchor residues.
Finally, we synthesized a diastereomeric library (Figure e) by inverting the stereochemistry at each residue of ovaWT (ovaD 1–8) (Figure e). Incorporation of d-amino acids confers substantial resistance to proteolysis by introducing a stereochemical mismatch with the chiral active sites of endogenous proteases, which have evolved to recognize l-residues. However, unlike N-methylation or peptoid substitutions, stereoinversion preserves the backbone amide hydrogen bond donor; thus, the energetic cost of desolvation remains chemically equivalent to that of the l-enantiomer.
Although d-amino acid-containing peptides are often presumed to lack cell-based immunogenicity, this generalization warrants empirical validation. In the RMA-S system, stereoinversion at most positions resulted in complete loss of pMHC stability (Figure f). Only the serine (ovaD1) and glutamic acid (ovaD6) variants retained partial activity, indicating limited positional tolerance to chirality reversal within the MHC binding framework. However, even for stable complexes, the immunological outcome of stereoinversion is nuanced. It was previously demonstrated that while single d-substitutions typically abrogate recognition by T cell clones specific for the wild-type epitope, they can give rise to de novo CTL responses directed against d-isomer topology. Moreover, although peptides composed entirely of d-amino acids generally exhibit reduced MHC binding or diminished relative to their native l-counterparts, TCR cross-reactivity has enabled the identification of structurally unrelated all-D peptides that remain immunogenic. Thus, while direct stereochemical inversion of a known epitope may not preserve immunogenicity, the incorporation of d-amino acid building blocks represents a strategically valuable approach for the design of novel immunogenic peptides with improved stability and recognition properties.
Effect of Peptidomimetic Substitutions on T Cell Activation
We then aimed to evaluate how peptidomimetic modifications to ovaWT influence TCR engagement. To do so, we employed the B3Z T cell hybridoma cell line, which expresses an OVA-specific TCR and an NFAT-LacZ reporter gene encoding for β-galactosidase under an IL-2-inducible promoter. , Upon recognition of the SIINFEKL pMHC-I complex presented by RMA-S cells, TCR engagement activates NFAT-dependent transcription, leading to β-galactosidase expression (Figure a). This enzyme cleaves chlorophenol red-β-galactopyranoside (CPRG), producing a colorimetric shift that can be quantified spectrophotometrically. As β-galactosidase expression in this system reflects NFAT activation downstream of TCR signaling, it has been widely used as a quantitative proxy for functional T cell activation. , Accordingly, the magnitude of the colorimetric response enables the generation of dose–response curves for each peptidomimetic analog. By comparing these profiles to the native ovaWT baseline, we identified specific structural modifications that decouple pMHC stability from functional TCR engagement, thereby revealing positions where MHC binding and T cell signaling can be differentially modulated. Notably, this system relies on a SIINFEKL-specific TCR, reflecting a broader limitation in the field whereby functional T cell assays are typically restricted to a small number of well-characterized model epitopes. As such, these measurements provide high-resolution within this model system.
3.
(a) Schematic illustrating the B3Z T cell activation assay. (b–d) RMA-S cells were incubated with 100 nM of ovaWT and peptidomimetics from singly substituted (b) N-methylation, (c) peptoid, or (d) d-amino acid libraries for 1 h at 26 °C. RMA-S cells were subsequently coincubated with B3Z T cells for 6 h at 37 °C. β-galactosidase expression was then measured via the conversion of the colorimetric reagent chlorophenol red-β-galactopyranoside (CPRG) on a plate reader at 570 nm. The data presented has been normalized to the absorbance of the DMSO control. Data are represented as mean ± SD (n = 3). P-Values were determined by a two-tailed t-test (*** p < 0.001, **** p < 0.0001). (e, f) Correlation plots between pMHC stability versus T cell activation relative to ovaWT for (e) N-methylation, (f) peptoid, or (g) d-amino acid libraries. Each point represents the mean of three independent replicates. pMHC stability (x-axis) was measured at 1.11 μM, and T cell activation (y-axis) was measured at 100 nM.
Our data revealed that, consistent with trends observed for pMHC stability, several N-methylated variants were still capable of activating SIINFEKL-specific T cells at a potent concentration of 100 nM (Figure b and Figure S1). Notably, ovaNmet5, N-methylated at the phenylalanine residue, retained an appreciable level of TCR engagement. N-Methylation at serine (ovaNmet1), the second isoleucine (ovaNmet3), and leucine (ovaNmet8) also produced moderate levels of T cell recognition. Collectively, these findings validate backbone N-methylation as a robust strategy for peptide engineering, identifying a permissible structural window where even anchor-modified variants, such as ovaNmet5, can maintain the precise molecular geometry required for potent T cell activation. In contrast, N-methylation at most other positions, particularly lysine (ovaNmet7) and asparagine (ovaNmet4), was highly detrimental to TCR activation. Consistent with these findings, previous work in our lab has demonstrated that lysine modifications in ovaWT, including enzymatic lysine methylation, disrupt TCR recognition, likely due to an altered charge distribution and hydrophobicity. As indicated by the SIINFEKL-H-2Kb crystal structure, these solvent-exposed residues appear especially sensitive to modification, supporting the structural relevance of side chain accessibility in TCR binding. Taken together, these data delineate structural constraints for peptidomimetic design within this model system: while the TCR interface can surprisingly accommodate backbone modifications at specific anchor sites, it remains exquisitely sensitive to perturbations at solvent-exposed residues that are essential for molecular recognition.
Since N-methylation demonstrated that the pMHC interface can accommodate backbone alkylation at specific sites, we projected that peptoid substitutions might offer a similar opportunity for modulation. Although peptoids introduce a more significant structural alteration by relocating the side chain to the nitrogen atom, they share the core feature of N-alkylation. We therefore tested the corresponding library of peptoid analogs to determine if the permissive structural windows identified for N-methylated peptides are conserved when the side chain itself is shifted to the backbone. When evaluating the peptoid-modified series in T cell engagement, the results were striking: none of the variants exhibited measurable TCR activation at any concentration tested, with the sole exception of ovaNalk8, which elicited a weak response only at the highest concentration (1 μM) (Figure c and Figure S2). These findings suggest that peptoid backbones are unable to sufficiently replicate the native peptide conformation within the MHC binding groove to permit productive TCR engagement. While peptoids preserve the chemical identity of the side chain, our findings indicate that the shift in backbone-to-side chain registration could potentially disrupt the precise geometry required for TCR recognition. Furthermore, the increased conformational mobility of the N-substituted side chain may impose an entropic penalty that destabilizes the induced-fit complex required for signaling.
Finally, we sought to determine whether the unique protease resistance profile of stereochemically inverted peptides could be translated into functional immunogenicity. We therefore examined the effect of stereochemical inversion on T cell activation (Figure d and Figure S3). Similar to the peptoid series, conversion of each residue from the l- to the d-stereoisomer almost completely abolished TCR engagement for every diastereomeric analog across all concentrations. Exceptions were rare and weak: only ovaD1 (d-Ser) retained minor activity, while the ovaD5 (d-Phe) and ovaD8 (d-Leu) variants exhibited low-level recognition only at the highest concentration (1 μM). This nearly universal loss of function highlights the strict geometric constraints of the T cell engagement for specifically evolved TCR pairs. Even when specific side chains like phenylalanine (P5) or leucine (P8) are critical for binding, their inverted presentation likely misaligns the antigenic surface, preventing the precise induced-fit mechanism required for robust TCR triggering. Overall, these results indicate that TCR recognition is predominantly dictated by interactions with the peptide side chains, while limited tolerance exists for backbone modifications. The data support a model in which TCR recognition depends on the native peptide backbone conformation and precise side chain orientation within the pMHC complex. Even subtle alterations in backbone geometry can disrupt the integrity of the pMHC-TCR interface. In this sense, the immunological synapse is critical, and the TCR engages the peptide-MHC complex as a single, integrated structural unit, rather than discrete molecular components.
Recognizing that an all-d peptide would be unlikely to retain the immunogenic properties of its native l-counterpart owing to the inversion of the peptide backbone orientation, we next investigated a retro-inverso variant of SIINFEKL (ovaRI). In the retro-inverso strategy, the amino acid sequence is reversed, and the chirality of each residue is inverted. This design is intended to preserve the approximate spatial projection of the side chains while reversing the directionality of the peptide backbone. Although this maneuver can reproduce aspects of the parent side chain topology, it inverts the orientation of the backbone amide hydrogen bond donors and carbonyl acceptors relative to the native epitope. Retro-inverso analogs of antigenic peptides have previously been explored in both MHC-I and MHC-II systems, with mixed outcomes reported. − In principle, if peptide-MHC binding were governed predominantly by side chain interactions, preservation of side chain orientation might allow retention of pMHC stability and downstream TCR activation. However, if productive binding requires coordinated contributions from both side chains and the native backbone hydrogen bonding geometry, retro-inversion would be predicted to impair complex formation. To interrogate this mechanistic distinction, we evaluated ovaRI in both assays. In the RMA-S stabilization assay, ovaRI failed to generate a detectable signal relative to ovaWT, indicating an absence of stable pMHC complex formation (Figure S4a). Consistent with this finding, the B3Z assay demonstrated only a minimal increase in activation (Figure S4b). Taken together, these data indicate that preservation of side chain topology alone is insufficient to sustain MHC binding in the context of SIINFEKL. Instead, stable complex formation appears to require the cooperative alignment of both side chain positioning and native backbone orientation, including proper hydrogen bonding geometry and peptide register within the MHC groove. The failure of the retro-inverso variant therefore supports a model in which MHC binding is jointly backbone- and side chain-dependent, rather than dominated by either component in isolation.
To compare trends in MHC binding and T cell engagement across peptidomimetic variants, we plotted relative pMHC stability against T cell activation for each peptide normalized to ovaWT (Figure e–g). This analysis revealed that the majority of variants, particularly within the peptoid and d-amino acid libraries, were clustered in the lower-left region of the plot, consistent with reduced MHC stabilization and diminished T cell activation relative to ovaWT. In these low-signal regimes, small variations in reporter output fall within the background range of the B3Z assay and therefore cannot be interpreted as meaningful differences in T cell activation. In contrast, some N-methylated variants displayed measurable pMHC stabilization with detectable T cell activation, allowing a more robust comparison between MHC binding and functional signaling output (Figure e). Within this subset, ovaNmet6, for example, showed reduced T cell activation relative to its degree of pMHC stabilization, suggesting that pMHC stability alone is not strictly predictive of functional T cell activation. These observations are consistent with the idea that, although MHC binding and T cell activation are related, they are not equivalent determinants of functional immunogenicity, and productive T cell engagement also depends on the qualitative features of the pMHC-TCR interaction.
Effect of Peptidomimetic Substitutions on Permeability
Building on this framework, we aimed to measure the intracellular accumulation of modified peptides that have the potential to function as vaccine peptides. By quantitatively assessing cytosolic delivery in parallel with MHC presentation, we will define how specific peptidomimetic modifications influence not only cellular permeability but also the abundance of antigenic peptides available for immune recognition. This integrated analysis can potentially begin to establish design insights for optimizing peptide stability, intracellular access, and presentation efficiency, thereby advancing the rational development of next-generation peptide-based vaccines. To the best of our knowledge, this represents the first integration of a definitive cytosolic demarcation strategy with the direct evaluation of MHC presentation. For this approach, we employed the chloroalkane HaloTag azide-based membrane penetration (CHAMP) assay, a method developed in our laboratory which we have optimized for use first in bacterial cells and, more recently, in mammalian systems. CHAMP leverages HaloTag-expressing cells in combination with strain-promoted azide–alkyne cycloaddition (SPAAC) chemistry to quantify the presence of azide-tagged compounds within the cytosol (Figure a). Specifically, intracellular chloroalkane-linked dibenzoazacyclooctyne (DBCO) landmarks react covalently with azide-bearing molecules that successfully reach the cytosol, enabling assessment of accumulation. Unlike traditional fluorophore-based tracking approaches, which often conflate general cell association (such as membrane binding or endosomal entrapment) with internalization, CHAMP utilizes intracellular DBCO landmarks that exclusively react with molecules that have genuinely accessed the cytosol.
4.
(a) Schematic illustrating the CHAMP assay in mammalian cells. Cells expressing HaloTag in the cytosol are first treated with a chloroalkane-modified strained alkyne, enabling covalent installation of DBCO landmarks within the cytosol. Subsequently, an azide-tagged molecule is introduced in a “pulse” step, reacting with the strained alkyne via a SPAAC reaction. Molecules exhibiting high cytosolic entry consume more DBCO sites, resulting in fewer available reactive handles during the subsequent fluorescent azide “chase” step. Thus, molecules with greater cytosolic accumulation yield lower cellular fluorescence. (b) Chemical structure of az-ovaWT. Purple and orange side chains highlighted indicate buried and solvent-exposed residues, respectively. (c–e) Flow cytometry analysis of the CHAMP assay. HaloTag-expressing HeLa cells were pulsed with 50 μM of az-ovaWT or peptidomimetics from azide-tagged singly substituted (c) N-methylation, (d) peptoid, or (e) d-amino acid libraries for 24 h, and chased with 50 μM of TMRaz. The data are presented such that higher fold change is indicative of higher relative accumulation. Data are represented as mean ± SD (n = 3). P-Values were determined by a two-tailed t-test (ns = not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001).
To enable CHAMP-based evaluation across our libraries of ovaWT analogues, we installed an N-terminal azide handle into the parent peptides (az-ovaWT, Figure b) as well as into each corresponding analogue from the three-modification series (az-ovaNmet1–8, az-ovaNalk1–8, and az-ovaD1–8, Figure S5). This uniform modification allowed a direct comparison of cytosolic accumulation across all variants under identical experimental conditions. Importantly, permeability measurements obtained using CHAMP report on the intrinsic cellular accumulation of peptide analogues in engineered mammalian cells expressing intracellular HaloTag components. These measurements do not directly model antigen processing in professional APCs such as dendritic cells, nor do they recapitulate cross-presentation pathways. Rather, they provide a controlled readout of peptide entry and intracellular access, which can then be compared with downstream MHC-I stabilization and T cell activation in the SIINFEKL model system.
Following a 24 h incubation with each peptidomimetic analog, most variants exhibited little to no statistically significant difference in fluorescence signal relative to az-ovaWT, with uniformly low apparent accumulation observed across these samples (including az-ovaWT itself). Notably, however, several members of the N-methylation library displayed enhanced apparent accumulation (Figure c). In particular, az-ovaNmet1, corresponding to backbone N-methylation at the N-terminal serine, exhibited a robust increase in accumulation after the incubation period. More broadly, sequentially moving the N-methyl group along the peptide backbone from the N-terminus toward the C-terminus resulted in progressively decreased accumulation, reaching nonstatistically significant levels by az-ovaNmet6, which contains N-methylation at the phenylalanine residue. One exception to this trend was az-ovaNmet8, corresponding to modification at the C-terminal leucine, which again displayed increased apparent accumulation. These findings are consistent with prior reports demonstrating that backbone N-methylation can enhance membrane permeability in mammalian systems. − As a result, the peptide becomes less hydrophilic and more readily sheds its solvation shell, a step that favors passive diffusion through nonpolar environments.
Compared to the N-methylated peptides, the peptoid library exhibited substantially lower overall apparent accumulation (Figure d). However, az-ovaNalk8, corresponding to the N-substituted glycine unit at the C-terminal leucine position, showed a moderate increase in apparent accumulation (Figure d). Notably, it was also the only member of the peptoid library that elicited an above-background signal in the B3Z T cell activation assay, although as previously mentioned, the response remained very weak and was observed only at the highest concentration tested (Figure S2). Consistent with their chemical properties, peptoids (like N-methylated peptides) lack the backbone amide hydrogen bond donor, which may improve their permeability relative to canonical peptides. − In contrast, all members of the d-amino acid library exhibited near-background levels of accumulation, comparable to (and in some cases lower than az-ovaWT. Collectively, these results suggest that backbone N-methylation, and to a much lesser extent, peptoid substitution under specific circumstances, can enhance cellular permeability of antigenic peptides when introduced at particular positions. Importantly, many of the N-methylated variants also retained appreciable T cell activation, as demonstrated earlier, indicating that permeability and immunogenic function can be tuned simultaneously within this scaffold.
Design and Analysis of Multiply Substituted SIINFEKL Derivatives
Reasoning that single-residue substitutions might yield only incremental pharmacokinetic improvements, we next engineered multiply substituted SIINFEKL variants with the goal of maximizing MHC-I binding stability and minimal loss of immunogenicity. Candidate modifications were strictly filtered for their ability to retain dual functionality: robust MHC-I stabilization (RMA-S assay) and potent T cell activation (B3Z assay). This rational design strategy yielded two analogs: ovaDiMod, featuring an inverted stereocenter at serine and backbone N-methylation at phenylalanine; and ovaTriMod, which appends an additional stereochemical inversion at the C-terminal leucine (Figure a). Notably, the triply modified scaffold spatially distributes alterations across the peptide backbone, allowing us to probe the cumulative impact of simultaneous N-terminal, core, and C-terminal modifications. We incorporated the C-terminal inversion despite the reduced potency of the single variant (ovaD8) at 100 nM, as dose–response profiling confirmed significant TCR engagement at 1 μM (Figure S3). This ensured that our most heavily modified variant balanced maximal proteolytic resistance with preserved antigenicity.
5.
(a) Chemical structures of ovaDiMod and ovaTriMod with their structural modifications highlighted. (b) Dose–response curves from flow cytometry analysis of the RMA-S stabilization assay. RMA-S cells were incubated with the indicated concentration of ovaWT, ovaDiMod, or ovaTriMod. H-2Kb expression was analyzed via flow cytometry by APC antimouse H-2Kb antibody. MFI is the mean fluorescence intensity of the level of fluorescence relative to the DMSO control. Data are represented as mean ± SD (n = 3), and Boltzmann sigmoidal curves were fitted to the data using GraphPad Prism. (c) RMA-S cells were incubated with 100 nM ovaWT, ovaDiMod, or ovaTriMod for 1 h at 26 °C. RMA-S cells were subsequently coincubated with B3Z T cells for 6 h at 37 °C. β-Galactosidase expression was then measured via the conversion of the colorimetric reagent chlorophenol red-β-galactopyranoside (CPRG) on a plate reader at 570 nm. The data presented has been normalized to the absorbance of the DMSO control. Data are represented as mean ± SD (n = 3). P-Values were determined by a two-tailed t-test (** p < 0.01, **** p < 0.0001). (d) Comparison of serum stability of ovaWT, ovaDiMod, and ovaTriMod incubated in mouse serum at 37 °C over 1 h. One-phase decay curves were fitted to the data using GraphPad Prism.
With these two multiply modified variants in hand, we performed RMA-S and B3Z assays to assess their effects on the pMHC stability and T cell activation, respectively. In the RMA-S assay, both the doubly modified (ovaDiMod) and triply modified (ovaTriMod) peptides exhibited a complete loss of detectable pMHC stability across all concentrations tested (Figure b). This result was notable given that the two single substitutions comprising ovaDiMod (backbone N-methylation at Phe5 as ovaNmet5 and stereochemical inversion at Ser1 as ovaD1) each retained appreciable pMHC stability when evaluated individually (Figure b,f). Incorporation of the additional stereochemical inversion at the C-terminal leucine in ovaTriMod neither rescued nor further diminished this response, although this was not entirely unexpected, consistent with the poor performance of the corresponding single variant (ovaD8) in the initial RMA-S analysis.
Despite the loss of measurable pMHC stability in these multiply modified variants, T cell activation remained a primary metric of interest, as it is more representative of productive immune recognition even when overall pMHC abundance may be low or falls below the detection threshold of the RMA-S stabilization assay. Encouragingly, in the B3Z assay, ovaDiMod elicited a ∼5-fold increase in T cell activation relative to background at 100 nM (Figure c), an intermediate response between those of its constituent single variants (ovaNmet5 and ovaD1, which produced ∼6-fold and ∼4-fold increases, respectively) (Figure b,d). Moreover, at the highest concentration tested (1 μM), ovaDiMod approached the level of activation observed for ovaWT, and notably exceeded the responses of either single variant at this concentration (Figure S6). In contrast, the addition of the third modification in ovaTriMod abolished T cell activation, mirroring its lack of pMHC stability. These data identify the C-terminal anchor as a site of exquisite stereochemical sensitivity, where modification disrupts both MHC binding and productive TCR engagement. Critically, the divergent fates of these variants underscore the nonadditive nature of peptidomimetic design: the successful combination of modifications in ovaDiMod, versus the functional loss of ovaTriMod, demonstrates that individually tolerated substitutions do not guarantee preservation of function when multiplexed. Consequently, ovaDiMod was selected as the optimal lead candidate for further physiological characterization.
Finally, we interrogated how the peptidomimetic substitutions with ovaWT impacted their resistance to serum proteases. In this context, we examined only our derivatives containing multiple modifications, as a substitution at any given single residue is unlikely to offer significantly improved protection from proteolysis across the entire length of the peptide. Additionally, considering the activity of both N- and C-terminal exopeptidases, we felt that our multiply modified variants bearing d-amino acids at the termini would be promising for investigating this impact. Assessment of metabolic stability was performed by treatment with mouse serum, and it revealed rapid degradation of ovaWT, with only 40% of the initial peptide remaining after 15 min of serum incubation and no further decline over the remainder of the hour (Figure d). In contrast, ovaDiMod remained stable during the first 15 min, followed by a sharp drop to ∼50% remaining after 30 min, plateauing thereafter. ovaTriMod exhibited the greatest stability, retaining nearly 100% of the peptide after 15 min, 77% after 30 min, and 70% after 1 h. These results align with prior findings that backbone N-methylation markedly enhances serum stability. , In ovaDiMod and ovaTriMod, backbone N-methylation at the phenylalanine at position 5 likely imparts steric hindrance that restricts protease access to the cleavage site and simultaneously removes a backbone amide hydrogen essential for protease recognition through hydrogen bonding. Furthermore, because proteases display strict stereospecificity, inversion of terminal stereocenters is a well-established strategy to impede proteolysis. , Protection of the N-terminus in ovaDiMod likely reduces susceptibility to aminopeptidases, whereas protection of both termini in ovaTriMod additionally limits carboxypeptidase activity. Collectively, these data suggest that the combined effects of backbone N-methylation and terminal stereochemical inversion confer multilevel resistance to serum proteases, leading to the progressive increase in stability observed from ovaWT to ovaTriMod.
Discussion
Peptide-based vaccines and neoantigen discovery efforts have expanded substantially in recent years, particularly in cancer immunotherapies. Clinically, peptide antigens are frequently explored in combination with immune checkpoint blockade or dendritic-cell-based vaccination strategies, reflecting ongoing efforts to overcome limitations in immunogenicity and delivery efficiency. In parallel, post-translationally modified antigens have emerged as an important class of neoepitopes, expanding antigenic diversity beyond genetically encoded mutations. Immunopeptidomic studies have suggested that chemically modified peptides may be shared across tumor types, raising the possibility of broadly applicable synthetic vaccine targets. To this end, recent work by Kacen et al., profiling the tumor MHC-I immunopeptidome, demonstrated that post-translational changes driven by the tumor proteome dramatically expand the targetable antigen landscape. However, despite these advances, systematic strategies to connect defined chemical modifications with functional outcomes in MHC-I presentation, TCR recognition, and cellular accumulation remain limited, with unified experimental frameworks.
In this study, we systematically interrogated how distinct peptidomimetic modifications influence the key molecular and cellular determinants of antigen presentation by using the well-defined SIINFEKL-H-2Kb model system. By integrating assays for MHC-I stabilization, TCR activation, cellular permeability, and serum stability, we characterize how backbone chemistry, stereochemistry, and residue positioning collectively shape peptide immunogenicity and pharmacokinetic behavior. Our findings demonstrate that tolerance to peptidomimetic modification exhibits strong position dependence within this model system, consistent with the structural constraints of MHC-I antigen presentation. Certain backbone N-methylations were compatible with MHC binding and TCR recognition and were associated with enhanced cellular accumulation, whereas peptoid substitutions and stereochemical inversion were generally less-well tolerated for productive TCR engagement and intracellular accumulation. Importantly, discrepancies between MHC stabilization and T cell activation highlight that functional immune recognition depends not only on the abundance of pMHC complexes but also on their conformational and kinetic properties.
Extension of these principles to multiply modified peptides revealed that combinatorial effects are nonadditive. While a doubly modified peptide retained substantial T cell activation alongside improved serum stability, the introduction of an additional modification abolished immune recognition despite further gains in protease resistance. These results underscore the inherent trade-offs between enhancing the pharmacokinetic properties and preserving immunogenic function. Collectively, this study provides initial design insights for peptidomimetic antigen design, emphasizing the need to balance stability and permeability with the stringent structural requirements of MHC-I presentation and productive TCR engagement. More broadly, our findings offer a potential framework for rationally tuning peptide-based vaccines while maintaining the molecular features necessary for an effective immune recognition. A key limitation of this study is the reliance on a single model epitope and TCR system, necessitated by the current availability of well-established functional assays for MHC-I antigen presentation. While this model enables high-resolution, systematic interrogation of peptidomimetic modifications, the extent to which these findings generalize across diverse antigenic sequences remains to be elucidated. Future studies expanding these approaches will be critical for validating the broader applicability of these design insights.
Supplementary Material
Acknowledgments
This study was supported by the NIH grant R35GM124893 (M.M.P.).
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acschembio.6c00291.
Additional figures, tables, and materials/methods (PDF)
The authors declare no competing financial interest.
References
- Neefjes J., Jongsma M. L., Paul P., Bakke O.. Towards a systems understanding of MHC class I and MHC class II antigen presentation. Nat. Rev. Immunol. 2011;11(12):823–836. doi: 10.1038/nri3084. [DOI] [PubMed] [Google Scholar]
- Huppa J. B., Davis M. M.. T-cell-antigen recognition and the immunological synapse. Nat. Rev. Immunol. 2003;3(12):973–983. doi: 10.1038/nri1245. [DOI] [PubMed] [Google Scholar]
- Schumacher T. N., Schreiber R. D.. Neoantigens in cancer immunotherapy. Science. 2015;348(6230):69–74. doi: 10.1126/science.aaa4971. [DOI] [PubMed] [Google Scholar]
- Jayasinghe R. G., Cao S., Gao Q., Wendl M. C., Vo N. S., Reynolds S. M., Zhao Y., Climente-González H., Chai S., Wang F.. et al. Systematic Analysis of Splice-Site-Creating Mutations in Cancer. Cell Rep. 2018;23(1):270–281. doi: 10.1016/j.celrep.2018.03.052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kahles A., Lehmann K. V., Toussaint N. C., Huser M., Stark S. G., Sachsenberg T., Stegle O., Kohlbacher O., Sander C.. et al. Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients. Cancer Cell. 2018;34(2):211–224 e216. doi: 10.1016/j.ccell.2018.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shen L., Zhang J., Lee H., Batista M. T., Johnston S. A.. RNA Transcription and Splicing Errors as a Source of Cancer Frameshift Neoantigens for Vaccines. Sci. Rep. 2019;9(1):14184. doi: 10.1038/s41598-019-50738-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang E., Aifantis I.. RNA Splicing and Cancer. Trends Cancer. 2020;6(8):631–644. doi: 10.1016/j.trecan.2020.04.011. [DOI] [PubMed] [Google Scholar]
- Kacen A., Javitt A., Kramer M. P., Morgenstern D., Tsaban T., Shmueli M. D., Teo G. C., da Veiga Leprevost F., Barnea E., Yu F.. et al. Post-translational modifications reshape the antigenic landscape of the MHC I immunopeptidome in tumors. Nat. Biotechnol. 2023;41(2):239–251. doi: 10.1038/s41587-022-01464-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xie N., Shen G., Gao W., Huang Z., Huang C., Fu L.. Neoantigens: promising targets for cancer therapy. Signal Transduct Target Ther. 2023;8(1):9. doi: 10.1038/s41392-022-01270-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Comber J. D., Philip R.. MHC class I antigen presentation and implications for developing a new generation of therapeutic vaccines. Ther Adv. Vaccines. 2014;2(3):77–89. doi: 10.1177/2051013614525375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Malonis R. J., Lai J. R., Vergnolle O.. Peptide-Based Vaccines: Current Progress and Future Challenges. Chem. Rev. 2020;120(6):3210–3229. doi: 10.1021/acs.chemrev.9b00472. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Purcell A. W., McCluskey J., Rossjohn J.. More than one reason to rethink the use of peptides in vaccine design. Nat. Rev. Drug Discov. 2007;6(5):404–414. doi: 10.1038/nrd2224. [DOI] [PubMed] [Google Scholar]
- Slingluff C. L. Jr.. The present and future of peptide vaccines for cancer: single or multiple, long or short, alone or in combination? Cancer J. 2011;17(5):343–350. doi: 10.1097/PPO.0b013e318233e5b2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liao J. Y., Zhang S.. Safety and Efficacy of Personalized Cancer Vaccines in Combination With Immune Checkpoint Inhibitors in Cancer Treatment. Front Oncol. 2021;11:663264. doi: 10.3389/fonc.2021.663264. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ott P. A., Hu Z., Keskin D. B., Shukla S. A., Sun J., Bozym D. J., Zhang W., Luoma A., Giobbie-Hurder A., Peter L.. et al. An immunogenic personal neoantigen vaccine for patients with melanoma. Nature. 2017;547(7662):217–221. doi: 10.1038/nature22991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mittendorf E. A., Clifton G. T., Holmes J. P., Schneble E., Van Echo D., Ponniah S., Peoples G. E.. Final report of the phase I/II clinical trial of the E75 (nelipepimut-S) vaccine with booster inoculations to prevent disease recurrence in high-risk breast cancer patients. Ann. Oncol. 2014;25(9):1735–1742. doi: 10.1093/annonc/mdu211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mittendorf E. A., Holmes J. P., Ponniah S., Peoples G. E.. The E75 HER2/neu peptide vaccine. Cancer Immunol Immunother. 2008;57(10):1511–1521. doi: 10.1007/s00262-008-0540-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ohno S., Okuyama R., Aruga A., Sugiyama H., Yamamoto M.. Phase I trial of Wilms’ Tumor 1 (WT1) peptide vaccine with GM-CSF or CpG in patients with solid malignancy. Anticancer Res. 2012;32(6):2263–2269. [PubMed] [Google Scholar]
- Zauderer M. G., Tsao A. S., Dao T., Panageas K., Lai W. V., Rimner A., Rusch V. W., Adusumilli P. S., Ginsberg M. S., Gomez D.. et al. A Randomized Phase II Trial of Adjuvant Galinpepimut-S, WT-1 Analogue Peptide Vaccine, After Multimodality Therapy for Patients with Malignant Pleural Mesothelioma. Clin. Cancer Res. 2017;23(24):7483–7489. doi: 10.1158/1078-0432.CCR-17-2169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Diao L., Meibohm B.. Pharmacokinetics and pharmacokinetic-pharmacodynamic correlations of therapeutic peptides. Clin Pharmacokinet. 2013;52(10):855–868. doi: 10.1007/s40262-013-0079-0. [DOI] [PubMed] [Google Scholar]
- Gibadullin R., Randall C. J., Sidney J., Sette A., Gellman S. H.. Backbone Modifications of HLA-A2-Restricted Antigens Induce Diverse Binding and T Cell Activation Outcomes. J. Am. Chem. Soc. 2021;143(17):6470–6481. doi: 10.1021/jacs.1c00016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huard R., Dyall R., NikolicZugic J.. The critical role of a solvent-exposed residue of an MHC class I-restricted peptide in MHC-peptide binding. Int. Immunol. 1997;9(11):1701–1707. doi: 10.1093/intimm/9.11.1701. [DOI] [PubMed] [Google Scholar]
- Wang Y., Sun D., Laney V., Wang H., Wang L. L., Lu Z. R.. Challenges and opportunities on achieving an adequate delivery efficiency and immunogenicity with peptide-based anticancer vaccines. Adv. Drug Deliv Rev. 2025;225:115675. doi: 10.1016/j.addr.2025.115675. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Craik D. J., Fairlie D. P., Liras S., Price D.. The future of peptide-based drugs. Chem. Biol. Drug Des. 2013;81(1):136–147. doi: 10.1111/cbdd.12055. [DOI] [PubMed] [Google Scholar]
- Fosgerau K., Hoffmann T.. Peptide therapeutics: current status and future directions. Drug Discov Today. 2015;20(1):122–128. doi: 10.1016/j.drudis.2014.10.003. [DOI] [PubMed] [Google Scholar]
- Wang L., Wang N., Zhang W., Cheng X., Yan Z., Shao G., Wang X., Wang R., Fu C.. Therapeutic peptides: current applications and future directions. Signal Transduct Target Ther. 2022;7(1):48. doi: 10.1038/s41392-022-00904-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rock K. L., Reits E., Neefjes J.. Present Yourself! By MHC Class I and MHC Class II Molecules. Trends Immunol. 2016;37(11):724–737. doi: 10.1016/j.it.2016.08.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pei D., Buyanova M.. Overcoming Endosomal Entrapment in Drug Delivery. Bioconjug Chem. 2019;30(2):273–283. doi: 10.1021/acs.bioconjchem.8b00778. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Joffre O. P., Segura E., Savina A., Amigorena S.. Cross-presentation by dendritic cells. Nat. Rev. Immunol. 2012;12(8):557–569. doi: 10.1038/nri3254. [DOI] [PubMed] [Google Scholar]
- Albert M. L., Sauter B., Bhardwaj N.. Dendritic cells acquire antigen from apoptotic cells and induce class I-restricted CTLs. Nature. 1998;392(6671):86–89. doi: 10.1038/32183. [DOI] [PubMed] [Google Scholar]
- den Haan J. M., Lehar S. M., Bevan M. J.. CD8(+) but not CD8(−) dendritic cells cross-prime cytotoxic T cells in vivo. J. Exp Med. 2000;192(12):1685–1696. doi: 10.1084/jem.192.12.1685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Iyoda T., Shimoyama S., Liu K., Omatsu Y., Akiyama Y., Maeda Y., Takahara K., Steinman R. M., Inaba K.. The CD8+ dendritic cell subset selectively endocytoses dying cells in culture and in vivo. J. Exp Med. 2002;195(10):1289–1302. doi: 10.1084/jem.20020161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Webb A. I., Aguilar M. I., Purcell A. W.. Optimisation of peptide-based cytotoxic T-cell determinants using non-natural amino acids. Lett. Pept Sci. 2003;10(5–6):561–569. doi: 10.1007/BF02442589. [DOI] [Google Scholar]
- Azam A., Mallart S., Illiano S., Duclos O., Prades C., Maillere B.. Introduction of Non-natural Amino Acids Into T-Cell Epitopes to Mitigate Peptide-Specific T-Cell Responses. Front Immunol. 2021;12:637963. doi: 10.3389/fimmu.2021.637963. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fetse J., Kandel S., Mamani U. F., Cheng K.. Recent advances in the development of therapeutic peptides. Trends Pharmacol. Sci. 2023;44(7):425–441. doi: 10.1016/j.tips.2023.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zorzi A., Deyle K., Heinis C.. Cyclic peptide therapeutics: past, present and future. Curr. Opin Chem. Biol. 2017;38:24–29. doi: 10.1016/j.cbpa.2017.02.006. [DOI] [PubMed] [Google Scholar]
- Tselios T., Apostolopoulos V., Daliani I., Deraos S., Grdadolnik S., Mavromoustakos T., Melachrinou M., Thymianou S., Probert L., Mouzaki A.. et al. Antagonistic effects of human cyclic MBP(87–99) altered peptide ligands in experimental allergic encephalomyelitis and human T-cell proliferation. J. Med. Chem. 2002;45(2):275–283. doi: 10.1021/jm0102147. [DOI] [PubMed] [Google Scholar]
- Gupta V., Bhavanasi S., Quadir M., Singh K., Ghosh G., Vasamreddy K., Ghosh A., Siahaan T. J., Banerjee S., Banerjee S. K.. Protein PEGylation for cancer therapy: bench to bedside. J. Cell Commun. Signal. 2019;13(3):319–330. doi: 10.1007/s12079-018-0492-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Luna O. F., Perez Y. V., Ferrari D. P., Sayedipour S. S., Royo M., Acosta G. A., Cruz L. J., Alves F., Agner E., Sydnes M. O.. et al. Impact of N-Terminal PEGylation on Synthesis and Purification of Peptide-Based Cancer Epitopes for Pancreatic Ductal Adenocarcinoma (PDAC) ACS Omega. 2024;9(32):34544–34554. doi: 10.1021/acsomega.4c02604. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ballabio F., Broggini L., Paissoni C., Han X., Peqini K., Sala B. M., Sun R., Sandalova T., Barbiroli A., Achour A.. et al. l- to d-Amino Acid Substitution in the Immunodominant LCMV-Derived Epitope gp33 Highlights the Sensitivity of the TCR Recognition Mechanism for the MHC/Peptide Structure and Dynamics. ACS Omega. 2022;7(11):9622–9635. doi: 10.1021/acsomega.1c06964. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dintzis H. M., Symer D. E., Dintzis R. Z., Zawadzke L. E., Berg J. M.. A comparison of the immunogenicity of a pair of enantiomeric proteins. Proteins. 1993;16(3):306–308. doi: 10.1002/prot.340160309. [DOI] [PubMed] [Google Scholar]
- Tugyi R., Uray K., Ivan D., Fellinger E., Perkins A., Hudecz F.. Partial D-amino acid substitution: Improved enzymatic stability and preserved Ab recognition of a MUC2 epitope peptide. Proc. Natl. Acad. Sci. U. S. A. 2005;102(2):413–418. doi: 10.1073/pnas.0407677102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Briand J. P., Benkirane N., Guichard G., Newman J. F., Van Regenmortel M. H., Brown F., Muller S.. A retro-inverso peptide corresponding to the GH loop of foot-and-mouth disease virus elicits high levels of long-lasting protective neutralizing antibodies. Proc. Natl. Acad. Sci. U. S. A. 1997;94(23):12545–12550. doi: 10.1073/pnas.94.23.12545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guichard G., Benkirane N., Zeder-Lutz G., van Regenmortel M. H., Briand J. P., Muller S.. Antigenic mimicry of natural L-peptides with retro-inverso-peptidomimetics. Proc. Natl. Acad. Sci. U. S. A. 1994;91(21):9765–9769. doi: 10.1073/pnas.91.21.9765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Herve M., Maillere B., Mourier G., Texier C., Leroy S., Menez A.. On the immunogenic properties of retro-inverso peptides. Total retro-inversion of T-cell epitopes causes a loss of binding to MHC II molecules. Mol. Immunol. 1997;34(2):157–163. doi: 10.1016/S0161-5890(97)00004-7. [DOI] [PubMed] [Google Scholar]
- Guichard G., Connan F., Graff R., Ostankovitch M., Muller S., Guillet J. G., Choppin J., Briand J. P.. Partially modified retro-inverso pseudopeptides as non-natural ligands for the human class I histocompatibility molecule HLA-A2. J. Med. Chem. 1996;39(10):2030–2039. doi: 10.1021/jm9509511. [DOI] [PubMed] [Google Scholar]
- Lombardi A., Concepcion E., Hou H., Arib H., Mezei M., Osman R., Tomer Y.. Retro-inverso D-peptides as a novel targeted immunotherapy for Type 1 diabetes. J. Autoimmun. 2020;115:102543. doi: 10.1016/j.jaut.2020.102543. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cheloha R. W., Sullivan J. A., Wang T., Sand J. M., Sidney J., Sette A., Cook M. E., Suresh M., Gellman S. H.. Consequences of periodic alpha-to-beta(3) residue replacement for immunological recognition of peptide epitopes. ACS Chem. Biol. 2015;10(3):844–854. doi: 10.1021/cb500888q. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guichard G., Zerbib A., Le Gal F. A., Hoebeke J., Connan F., Choppin J., Briand J. P., Guillet J. G.. Melanoma peptide MART-1(27–35) analogues with enhanced binding capacity to the human class I histocompatibility molecule HLA-A2 by introduction of a beta-amino acid residue: implications for recognition by tumor-infiltrating lymphocytes. J. Med. Chem. 2000;43(20):3803–3808. doi: 10.1021/jm000909s. [DOI] [PubMed] [Google Scholar]
- Reinelt S., Marti M., Dedier S., Reitinger T., Folkers G., de Castro J. A., Rognan D.. Beta-amino acid scan of a class I major histocompatibility complex-restricted alloreactive T-cell epitope. J. Biol. Chem. 2001;276(27):24525–24530. doi: 10.1074/jbc.M102772200. [DOI] [PubMed] [Google Scholar]
- Webb A. I., Dunstone M. A., Williamson N. A., Price J. D., de Kauwe A., Chen W., Oakley A., Perlmutter P., McCluskey J., Aguilar M. I.. et al. T cell determinants incorporating beta-amino acid residues are protease resistant and remain immunogenic in vivo. J. Immunol. 2005;175(6):3810–3818. doi: 10.4049/jimmunol.175.6.3810. [DOI] [PubMed] [Google Scholar]
- Rastogi I., Mannone J. A., Gibadullin R., Moseman J. E., Sidney J., Sette A., McNeel D. G., Gellman S. H.. beta-amino acid substitution in the SIINFEKL antigen alters immunological recognition. Cancer Biol. Ther. 2025;26(1):2486141. doi: 10.1080/15384047.2025.2486141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gibadullin R., Morris R. K., Niu J. N., Sidney J., Sette A., Gellman S. H.. Thioamide Analogues of MHC I Antigen Peptides. J. Am. Chem. Soc. 2023;145(47):25559–25569. doi: 10.1021/jacs.3c05300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- van Neer R. H. P., Dranchak P. K., Liu L., Aitha M., Queme B., Kimura H., Katoh T., Battaile K. P., Lovell S., Inglese J.. et al. Serum-Stable and Selective Backbone-N-Methylated Cyclic Peptides That Inhibit Prokaryotic Glycolytic Mutases. ACS Chem. Biol. 2022;17(8):2284–2295. doi: 10.1021/acschembio.2c00403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hill C. M., Liu A., Marshall K. W., Mayer J., Jorgensen B., Yuan B., Cubbon R. M., Nichols E. A., Wicker L. S., Rothbard J. B.. Exploration of requirements for peptide binding to HLA DRB1*0101 and DRB1*0401. J. Immunol. 1994;152(6):2890–2898. doi: 10.4049/jimmunol.152.6.2890. [DOI] [PubMed] [Google Scholar]
- Guichard G., Calbo S., Muller S., Kourilsky P., Briand J. P., Abastado J. P.. Efficient Binding of Reduced Peptide-Bond Pseudopeptides to Major Histocompatibility Complex Class-I Molecule. J. Biol. Chem. 1995;270(44):26057–26059. doi: 10.1074/jbc.270.44.26057. [DOI] [PubMed] [Google Scholar]
- Calbo S., Guichard G., Muller S., Kourilsky P., Briand J. P., Abastado J. P.. Antitumor vaccination using a major histocompatibility complex (MHC) class I-restricted pseudopeptide with reduced peptide bond. J. Immunother. 2000;23(1):125–130. doi: 10.1097/00002371-200001000-00015. [DOI] [PubMed] [Google Scholar]
- Bastian M., Lozano J. M., Patarroyo M. E., Pluschke G., Daubenberger C. A.. Characterization of a reduced peptide bond analogue of a promiscuous CD4 T cell epitope derived from the Plasmodium falciparum malaria vaccine candidate merozoite surface protein 1. Mol. Immunol. 2004;41(8):775–784. doi: 10.1016/j.molimm.2004.04.019. [DOI] [PubMed] [Google Scholar]
- Cotton J., Herve M., Pouvelle S., Maillere B., Menez A.. Pseudopeptide ligands for MHC II-restricted T cells. Int. Immunol. 1998;10(2):159–166. doi: 10.1093/intimm/10.2.159. [DOI] [PubMed] [Google Scholar]
- Ettouati L., Salvi J. P., Trescol-Biemont M. C., Walchshofer N., Gerlier D., Rabourdin-Combe C., Paris J.. Substitution of peptide bond 53–54 of HEL(52–61) with an ethylene bond rather than reduced peptide bond is tolerated by an MHC-II restricted T cell. Pept Res. 1996;9(5):248–253. [PubMed] [Google Scholar]
- Marschütz M. K., Zauner W., Mattner F., Otava A., Buschle M., Bernkop-Schnürch A.. Improvement of the enzymatic stability of a cytotoxic T-lymphocyte-epitope model peptide for its oral administration. Peptides. 2002;23(10):1727–1733. doi: 10.1016/S0196-9781(02)00148-1. [DOI] [PubMed] [Google Scholar]
- Ayyoub M., Mazarguil H., Monsarrat B., Van den Eynde B., Gairin J. E.. A structure-based approach to designing non-natural peptides that can activate anti-melanoma cytotoxic T cells. J. Biol. Chem. 1999;274(15):10227–10234. doi: 10.1074/jbc.274.15.10227. [DOI] [PubMed] [Google Scholar]
- Quesnel A., Zerbib A., Connan F., Guillet J. G., Briand J. P., Choppin J.. Synthesis and antigenic properties of reduced peptide bond analogues of an immunodominant epitope of the melanoma MART-1 protein. J. Pept Sci. 2001;7(3):157–165. doi: 10.1002/psc.311. [DOI] [PubMed] [Google Scholar]
- Blanchet J. S., Valmori D., Dufau I., Ayyoub M., Nguyen C., Guillaume P., Monsarrat B., Cerottini J. C., Romero P., Gairin J. E.. A new generation of Melan-A/MART-1 peptides that fulfill both increased immunogenicity and high resistance to biodegradation: Implication for molecular anti-melanoma immunotherapy. J. Immunol. 2001;167(10):5852–5861. doi: 10.4049/jimmunol.167.10.5852. [DOI] [PubMed] [Google Scholar]
- Hoppes R., Oostvoges R., Luimstra J. J., Wals K., Toebes M., Bies L., Ekkebus R., Rijal P., Celie P. H. N., Huang J. H.. et al. Altered Peptide Ligands Revisited: Vaccine Design through Chemically Modified HLA-A2-Restricted T Cell Epitopes. J. Immunol. 2014;193(10):4803–4813. doi: 10.4049/jimmunol.1400800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barlow N., Chalmers D. K., Williams-Noonan B. J., Thompson P. E., Norton R. S.. Improving Membrane Permeation in the Beyond Rule-of-Five Space by Using Prodrugs to Mask Hydrogen Bond Donors. ACS Chem. Biol. 2020;15(8):2070–2078. doi: 10.1021/acschembio.0c00218. [DOI] [PubMed] [Google Scholar]
- Lee D., Choi J., Yang M. J., Park C. J., Seo J.. Controlling the Chameleonic Behavior and Membrane Permeability of Cyclosporine Derivatives via Backbone and Side Chain Modifications. J. Med. Chem. 2023;66(18):13189–13204. doi: 10.1021/acs.jmedchem.3c01140. [DOI] [PubMed] [Google Scholar]
- Li Y., Li W., Xu Z. S.. Improvement on Permeability of Cyclic Peptide/Peptidomimetic: Backbone -Methylation as A Useful Tool. Mar. Drugs. 2021;19(6):311. doi: 10.3390/md19060311. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Verdurmen W. P. R., Bovee-Geurts P. H., Wadhwani P., Ulrich A. S., Hällbrink M., van Kuppevelt T. H., Brock R.. Preferential Uptake of L- versus D-Amino Acid Cell-Penetrating Peptides in a Cell Type-Dependent Manner. Chem. Biol. 2011;18(8):1000–1010. doi: 10.1016/j.chembiol.2011.06.006. [DOI] [PubMed] [Google Scholar]
- Bhandari S., Ongwae G. M., Dash R., Liu Z. C., Chordia M. D., He Y. C., Pires M. M.. A generalizable assay for intracellular accumulation to profile cytosolic drug delivery in mammalian cells. Commun. Chem. 2026;9(1):94. doi: 10.1038/s42004-026-01898-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shastri N., Gonzalez F.. Endogenous Generation and Presentation of the Ovalbumin Peptide/K(B) Complex to T-Cells. J. Immunol. 1993;150(7):2724–2736. doi: 10.4049/jimmunol.150.7.2724. [DOI] [PubMed] [Google Scholar]
- Ljunggren H. G., Stam N. J., Ohlen C., Neefjes J. J., Hoglund P., Heemels M. T., Bastin J., Schumacher T. N. M., Townsend A., Karre K.. et al. Empty Mhc Class-I Molecules Come out in the Cold. Nature. 1990;346(6283):476–480. doi: 10.1038/346476a0. [DOI] [PubMed] [Google Scholar]
- Schumacher T. N. M., Heemels M. T., Neefjes J. J., Kast W. M., Melief C. J. M., Ploegh H. L.. Direct Binding of Peptide to Empty Mhc Class-I Molecules on Intact-Cells and Invitro. Cell. 1990;62(3):563–567. doi: 10.1016/0092-8674(90)90020-F. [DOI] [PubMed] [Google Scholar]
- Cerundolo V., Elliott T., Elvin J., Bastin J., Rammensee H. G., Townsend A.. The Binding-Affinity and Dissociation Rates of Peptides for Class-I Major Histocompatibility Complex-Molecules. Eur. J. Immunol. 1991;21(9):2069–2075. doi: 10.1002/eji.1830210915. [DOI] [PubMed] [Google Scholar]
- Elvin J., Potter C., Elliott T., Cerundolo V., Townsend A.. A Method to Quantify Binding of Unlabeled Peptides to Class-I Mhc Molecules and Detect Their Allele Specificity. J. Immunol Methods. 1993;158(2):161–171. doi: 10.1016/0022-1759(93)90210-X. [DOI] [PubMed] [Google Scholar]
- Ross P., Holmes J. C., Gojanovich G. S., Hess P. R.. A cell-based MHC stabilization assay for the detection of peptide binding to the canine classical class I molecule, DLA-88. Vet Immunol Immunop. 2012;150(3–4):206–212. doi: 10.1016/j.vetimm.2012.08.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Saito Y., Peterson P. A., Matsumura M.. Quantitation of Peptide Anchor Residue Contributions to Class-I Major Histocompatibility Complex Molecule-Binding. J. Biol. Chem. 1993;268(28):21309–21317. doi: 10.1016/S0021-9258(19)36925-X. [DOI] [PubMed] [Google Scholar]
- Fremont D. H., Stura E. A., Matsumura M., Peterson P. A., Wilson I. A.. Crystal-Structure of an H-2k(B)-Ovalbumin Peptide Complex Reveals the Interplay of Primary and Secondary Anchor Positions in the Major Histocompatibility Complex Binding Groove. P Natl. Acad. Sci. USA. 1995;92(7):2479–2483. doi: 10.1073/pnas.92.7.2479. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jameson S. C., Bevan M. J.. Dissection of Major Histocompatibility Complex (Mhc) and T-Cell Receptor Contact Residues in a Kb-Restricted Ovalbumin Peptide and an Assessment of the Predictive Power of Mhc-Binding Motifs. Eur. J. Immunol. 1992;22(10):2663–2667. doi: 10.1002/eji.1830221028. [DOI] [PubMed] [Google Scholar]
- Clapperton A. M., Babi J., Tran H.. A Field Guide to Optimizing Peptoid Synthesis. Acs Polym. Au. 2022;2(6):417–429. doi: 10.1021/acspolymersau.2c00036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zuckermann R. N., Kerr J. M., Kent S. B. H., Moos W. H.. Efficient Method for the Preparation of Peptoids [Oligo(N-Substituted Glycines)] by Submonomer Solid-Phase Synthesis. J. Am. Chem. Soc. 1992;114(26):10646–10647. doi: 10.1021/ja00052a076. [DOI] [Google Scholar]
- de Haan E. C., Wauben M. H. M., Grosfeld-Stulemeyer M. C., Kruijtzer J. A. W., Liskamp R. M. J., Moret E. E.. Major histocompatibility complex class II binding characteristics of peptoid-peptide hybrids. Bioorgan Med. Chem. 2002;10(6):1939–1945. doi: 10.1016/S0968-0896(01)00434-5. [DOI] [PubMed] [Google Scholar]; Pii S0968–0896(01)00434–5
- Nakagawa Y., Kikuchi H., Takahashi H.. Molecular analysis of TCR and peptide/MHC interaction using P18-I10-derived peptides with a single D-amino acid substitution. Biophys. J. 2007;92(7):2570–2582. doi: 10.1529/biophysj.106.095208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Miles J. J., Tan M. P., Dolton G., Edwards E. S., Galloway S. A., Laugel B., Clement M., Makinde J., Ladell K., Matthews K. K.. et al. Peptide mimic for influenza vaccination using nonnatural combinatorial chemistry. J. Clin Invest. 2018;128(4):1569–1580. doi: 10.1172/JCI91512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Karttunen J., Shastri N.. Measurement of Ligand-Induced Activation in Single Viable T-Cells Using the Lacz Reporter Gene. P Natl. Acad. Sci. USA. 1991;88(9):3972–3976. doi: 10.1073/pnas.88.9.3972. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Karttunen J., Sanderson S., Shastri N.. Detection of Rare Antigen-Presenting Cells by the Lacz T-Cell Activation Assay Suggests an Expression Cloning Strategy for T-Cell Antigens. P Natl. Acad. Sci. USA. 1992;89(13):6020–6024. doi: 10.1073/pnas.89.13.6020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Newkirk S. E., Kelly J. J., Singh S., Ocius K., Zhang T., Pires M. M.. Endogenous and Exogenous Electrophilic Modifications Reshape Antigen Presentation and Recognition. bioRxiv. 2025:11.06.687013. doi: 10.1101/2025.11.06.687013. [DOI] [Google Scholar]
- Kelly J. J., Bloodworth N., Shao Q., Shabanowitz J., Hunt D., Meiler J., Pires M. M.. A Chemical Approach to Assess the Impact of Post-translational Modification on MHC Peptide Binding and Effector Cell Engagement. ACS Chem. Biol. 2024;19(9):1991–2001. doi: 10.1021/acschembio.4c00312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ongwae G. M., Liu Z., Feng S., Chordia M. D., Dash R., He Y., Gh M. S., Dalesandro B. E., Guo T., Sharpless K. B.. et al. Click-based determination of accumulation of molecules in Escherichia coli. Nat. Commun. 2026;17:545103. doi: 10.1038/s41467-026-68717-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chongsiriwatana N. P., Patch J. A., Czyzewski A. M., Dohm M. T., Ivankin A., Gidalevitz D., Zuckermann R. N., Barron A. E.. Peptoids that mimic the structure, function, and mechanism of helical antimicrobial peptides. Proc. Natl. Acad. Sci. U. S. A. 2008;105(8):2794–2799. doi: 10.1073/pnas.0708254105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schwochert J., Turner R., Thang M., Berkeley R. F., Ponkey A. R., Rodriguez K. M., Leung S. S., Khunte B., Goetz G., Limberakis C.. et al. Peptide to Peptoid Substitutions Increase Cell Permeability in Cyclic Hexapeptides. Org. Lett. 2015;17(12):2928–2931. doi: 10.1021/acs.orglett.5b01162. [DOI] [PubMed] [Google Scholar]
- Simon R. J., Kania R. S., Zuckermann R. N., Huebner V. D., Jewell D. A., Banville S., Ng S., Wang L., Rosenberg S., Marlowe C. K.. et al. Peptoids - a Modular Approach to Drug Discovery. P Natl. Acad. Sci. USA. 1992;89(20):9367–9371. doi: 10.1073/pnas.89.20.9367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tan N. C., Yu P., Kwon Y. U., Kodadek T.. High-throughput evaluation of relative cell permeability between peptoids and peptides. Bioorgan Med. Chem. 2008;16(11):5853–5861. doi: 10.1016/j.bmc.2008.04.074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marino G., Eckhard U., Overall C. M.. Protein Termini and Their Modifications Revealed by Positional Proteomics. ACS Chem. Biol. 2015;10(8):1754–1764. doi: 10.1021/acschembio.5b00189. [DOI] [PubMed] [Google Scholar]
- Gazdik M., O’Neill M. T., Lopaticki S., Lowes K. N., Smith B. J., Cowman A. F., Boddey J. A., Sleebs B. E.. The effect of -methylation on transition state mimetic inhibitors of the protease, plasmepsin V. Medchemcomm. 2015;6(3):437–443. doi: 10.1039/C4MD00409D. [DOI] [Google Scholar]
- Janecka A., Kruszynski R., Fichna J., Kosson P., Janecki T.. Enzymatic degradation studies of endomorphin-2 and its analogs containing N-methylated amino acids. Peptides. 2006;27(1):131–135. doi: 10.1016/j.peptides.2005.06.015. [DOI] [PubMed] [Google Scholar]
- Chatterjee J., Gilon C., Hoffman A., Kessler H.. N-methylation of peptides: a new perspective in medicinal chemistry. Acc. Chem. Res. 2008;41(10):1331–1342. doi: 10.1021/ar8000603. [DOI] [PubMed] [Google Scholar]
- Al Musaimi O., Lombardi L., Williams D. R., Albericio F.. Strategies for Improving Peptide Stability and Delivery. Pharmaceuticals (Basel) 2022;15(10):1283. doi: 10.3390/ph15101283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Werle M., Bernkop-Schnurch A.. Strategies to improve plasma half life time of peptide and protein drugs. Amino Acids. 2006;30(4):351–367. doi: 10.1007/s00726-005-0289-3. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.





