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. 2026 Sep 25;4:44. doi: 10.1038/s44298-026-00236-y

In silico analysis of pH stabilising mutations of hemagglutinin of influenza A virus H5N1 clade 2.3.4.4b

Daniel Christian Lauster 1,✉, Christian Sieben 2,✉, Matthias Ballauff 3, Andreas Herrmann 3
PMCID: PMC13614952  PMID: 42791315

Abstract

Highly pathogenic avian influenza A(H5N1) viruses are expanding their host range among mammals, raising concerns about their pandemic potential. Building on recently published deep mutational scanning data1, we show that hemagglutinin retains structural plasticity to increase acid stability through independent mechanisms, including modulation of electrostatic interactions, hydrogen-bonding networks and hydrophobic packing that may facilitate human adaptation. These findings illustrate how structural analyses can strengthen genomic surveillance for pandemic risk assessment.

Subject terms: Biochemistry, Computational biology and bioinformatics, Microbiology

Introduction

The ongoing global circulation of the avian influenza A (H5N1) virus, particularly the clade 2.3.4.4b strain, has raised serious concerns about its potential to cause a future pandemic. While the mortality rate among humans has been lower than in previous H5N1 outbreaks2, the virus’s unprecedented spread across wild and domestic birds, its ability to infect multiple mammalian species and the evidence of mammal-to-mammal transmission underscore its zoonotic potential. Its ability to replicate efficiently in mammalian hosts such as dairy cattle, producing high viral loads in milk, indicates ongoing adaptation that could facilitate human infection. Therefore, understanding the biological barriers that still limit efficient human transmission is essential for pandemic preparedness.

Human infection by avian influenza viruses is usually ineffective due to several host barriers, such as suboptimal receptor recognition and incompatibility with the host cell’s machinery. The major homotrimeric organized spike glycoprotein hemagglutinin (HA) is a key determinant of host specificity being responsible for receptor binding and membrane fusion3. Mutations that modify its receptor affinity or structural stability can profoundly influence host adaptation and transmissibility. Each HA monomer (consisting of around 500 amino acids) is cleaved into HA1 and HA2 subunits (Fig. 1). In highly pathogenic avian influenza viruses (HPAIVs) such as H5N1, the polybasic cleavage site enables activation by furin throughout the body, resulting in systemic infectivity in birds4,5.The globular head of HA1 binds to host receptors, while HA2 forms a stem in the trimer that anchors the HA trimer to the viral envelope. The HA2 stem region is a central determinant of the prefusion metastable conformation and is highly conserved among IAV subtypes. Its N-terminus forms the 20 amino acid long hydrophobic fusion peptide6–8. Upon endocytic uptake of the virus, the acidification of the endosomal lumen triggers an irreversible conformational change in the HA, exposing the fusion peptide. This triggers fusion between the virus and the endosome, thereby releasing the segmented viral genome.

Fig. 1. The trimeric structure of the hemagglutinin ectodomain (ECD) of H5 A/Texas/37/2024 (pdb 9DIP41) with the avian receptor analogue Sialyllacto-N-tetraose a (LSTa; α(2,3)-Sia link).

Fig. 1

A Left: The HA1 subunit (orange) and the HA2 subunit (green) are shown for one monomer. The helix of the binding pocket is shown in magenta, the fusion peptide in blue. The other two monomers are in grey. Middle: Surface of the HA1 subunit. Right: Top view. B LSTa and its HA binding pocket are enlarged. C Residues of HA1 with polar interaction with sialic acid (dashed lines) are shown (see text). The interactions are in the range of 2.5–3.4 Å.

The prefusion, neutral pH form of the HA trimer is metastable - stable enough to persist during transmission, yet ready to refold in response to endosomal acidification. If the HA trimer is too unstable, it may lose its fusogenic potential prematurely; conversely, if it is too stable, fusion may fail. Therefore, optimal acid stability and pH-dependent activation are crucial for viral infectivity. In wild aquatic birds - the natural reservoir of avian IAV - acid stability is essential for persistence in water9,10. Transition to poultry is accompanied by the acquisition of the polybasic cleavage site and reduced acid stability11,12. Adaptation to mammals typically requires further stabilisation and a lower fusion-triggering pH (from ~5.7–6.0 in avian viruses to ~5.0–5.5 in human strains)13–17, enhancing survival during airborne transmission and passage through the mildly acidic human respiratory tract. Conversely, premature triggering of the conformational change in transmission droplets or early endosomes can inactivate the virus infectivity17–21.

The emergence of H5N1 clade 2.3.4.4b exemplifies this adaptive trajectory. It likely arose around 2020 through reassortment between a highly pathogenic avian H5N8 strain and a low-pathogenic avian virus in Central Asia or Europe22–24, and has since spread globally. It has caused high mortality in both domestic and wild birds, and expanded its host range to include mammals25. In 2024, sustained mammal-to-mammal transmission occurred among US dairy cattle, with replication in mammary glands and high viral titres in milk26. Genomic analyses identified variants such as genotype B3.13, which carries PB2 polymerase mutations associated with mammalian adaptation27–31, heightening concerns about the potential for zoonotic transmission. Nevertheless, the HA of clade 2.3.4.4b still primarily binds avian-type α2,3-linked sialic acid receptors and shows only weak affinity for human-type α2,6-linked receptors32–36. Experimental studies indicate that few HA mutations can shift receptor specificity and enhance acid stability, enabling airborne transmission in mammals such as ferrets18,31,37–40. Substitutions including Gln226Leu, Asn224Lys, and Gly228Ser in the receptor-binding pocket increase α2,6-linked sialic acid affinity - a prerequisite for human adaptation34,35,41–45, yet remain rare in circulating 2.3.4.4b strains, suggesting efficient human adaptation requires multiple coordinated changes35,36,46. Moreover, stabilisation of the HA ectodomain at low pH appears essential for airborne transmissibility under the acidic conditions of respiratory droplets17,18,37,47. HA stability and function are governed by electrostatic interactions that stabilise the prefusion HA structure at neutral pH and regulate acidification-induced conformational changes12,48–51. In cleaved HA, protonation of surface-exposed ionisable residues lacking charged partners can destabilise the protein and shift the pH threshold for fusion triggering, thereby affecting membrane fusion efficiency and viral infectivity52–54 In summary, the efficient human-to-human transmission of H5N1 clade 2.3.4.4b will likely require concurrent adaptation via mutations in three key viral properties: polymerase activity, receptor-binding specificity, and HA stability.

This study examines the acid stability and structural adaptation of the hemagglutinin ectodomain (ECD) of H5N1 clade 2.3.4.4b, focusing on mutations that may enhance stability at low pH and thereby promote adaptation to human hosts. Building on the comprehensive analysis of ECD stability in circulating H5N1 viruses by Dadonaite et al. (2024)1, we explore the molecular determinants of enhanced acid stability and their potential contribution to mammalian adaptation.

Evidence from previous studies indicates that increased acid stability of the HA ectodomain facilitates adaptation to humans. We therefore examine how stabilizing mutations reshape the molecular architecture of the ECD, with particular emphasis on hydrogen-bonding networks, salt-bridge formation, and electrostatic surface potential. By integrating insights from previous mutational studies with computational structural analyses, we provide a mechanistic framework for understanding how enhanced acid stability may influence the evolutionary trajectory and zoonotic potential of H5N1 clade 2.3.4.4b.

Methods

Dadonaite et al. (2024)1 used a lentivirus-based deep mutational scanning platform (Dadonaite et al., 2023)55 to analyse pseudoviruses encoding different HA mutants from A/American Wigeon/South Carolina/2021 (H5N1 clade 2.3.4.4b). They investigated the influence of these mutants on receptor specificity, HA stability and antibody escape. The cell entry of the pseudoviruses was measured using 293 T cells, which are derived from human embryonic kidney (HEK) 293 cells1. HA stability was assessed by measuring the retention of infectivity in 293 T cells following the incubation of the pseudoviruses in increasingly acidic conditions. Pre-incubating the viruses at an acidic pH as low as 5.3 leads to an irreversible conformational change in the HA, resulting in its inactivation. The pH at which this change occurs depends on the stability of the HA.

This study analyses the molecular consequences of the mutations identified by Dadonaite et al. (2024)1 that lead to an increase in the stability of the ECD of the HA of H5N1. A 3D structure of the ECD relevant for H5N1 of clade 2.3.4.4b serves as the basis. Although no 3D structure of the HA is available for the strain used by Dadonaite et al. (2024)1, a structure is available for H5 A/Texas/37/2024 (pdb 9DIP41), which serves as a reference strain for clade 2.3.4.4b46. This strain has caused numerous outbreaks of HPAI H5N1 in dairy cattle, affecting almost 300 herds in 14 US states41. According to the FluSurver (https://flusurver.bii.a-star.edu.sg; GISAID database) it shares 99.4% sequence identity with A/American Wigeon/South Carolina/2021, analysed by Dadonaite et al. (2024)1(see Scheme S1). The sequence differences were limited to three sites: Leu122Gln, Thr200Ile, and Asp240Asn. Figure 1 shows the 3D structure of the HA (pdb 9DIP41) with a natural sialo-pentasaccharide from human milk LSTa (α(2,3)-Sia link), which is an avian-type receptor analogue56.

The 3D crystal structure of HA (pdb 9DIP)41 was analysed using PyMOL (version 3.0.2; licence #51548) to predict the impact of mutations on polar interactions and surface potential. Polar interactions, including hydrogen bonds and salt bridges, were characterised and visualised. The influence of mutations on the local surface potential was calculated using the Adaptive Poisson-Boltzmann Solver (APBS) including PDB2PQR software (using AMBER Force Field) via the APBS server or PyMOL plugin57,58. The surface potential was calculated at 0.15 M NaCl (ionic radius: Na+ −1.08 Å; Cl− −1.81 Å) for pH values of 5.3 and 7.4 in order to characterise the influence of mutations on the potential in the acidic and neutral range. In order to capture the full range of the potential in an accurate and differentiable manner, a false-code scaling of −5 kT/e (intense red) to +5 kT/e (intense blue) was selected. All lenghts of bonds shown in the figures are given in Å.

Results

Dadonaite et al. (2024)1 reported that their analysis revealed several stabilising mutations that were already known from previous studies to increase ECD stability: Tyr17His, Ala19Thr, Glu31Lys, His110Tyr, and Thr318Ile9,13,18,59,60 (see also our analysis below). Residues with a subscript index (2) are located in the HA2 subunit. HA1 residues have no index. H3 numbering is used throughout). Beyond these mutations, Dadonaite et al. highlighted additional mutations with a stabilising influence (see Fig. 4D in Dadonaite et al. (2024)1). Below, we address why these, and other mutations selected from the study by Dadonaite et al.’s (2024)1 could lead to HA stabilisation. It should be noted that there are larger sequence regions of the ECD in which mutations generally lead to HA trimer destabilisation (Fig. 2).

Fig. 4. Influence of mutations on surface potential and polar interactions in HA1 subunit.

Fig. 4

A, B Surface potential at pH 7.4 and 5.3. C Polar interactions of mutation sites 106 and 269. Colouring of subunits for sites 106 and 269: HA1 – orange; HA2 of the same monomer – green; HA2 of the neighbouring monomer – grey.

Fig. 2. Sequence regions of the ECD in which mutations were consistently detrimental to stability.

Fig. 2

A, B HA Monomer of H5 A/Texas/37/2024 (pdb 9DIP41) with regions in which mutations were consistently detrimental to stability (shown in black) ((A) HA1, (B) HA2). C Sequence numbering of regions shown in black in (A, B).

A significant portion of the HA1 head domain and extensive regions of the HA2 stem are characterised by these sequence regions in which mutations were consistently detrimental to stability. The stem region (HA2) is highly conserved because it is responsible for the metastable trimeric organisation of HA and the low pH-dependent conformational change that releases the fusion peptide. Although this study focuses on stabilising mutations, residues were analysed in Supplementary Information whose mutation has a detrimental effect on the stability of the ECD. (Figs. S1 to S9, Table S1).

Table 1 provides an overview of stabilising mutations, their influencing site, and if applicable, their influence on the surface potential of the ECD. The distribution of those mutations in the HA1 and HA2 subunits is shown in Fig. 3.

Table 1.

Overview of stabilising mutations in the ectodomain and their location of influence, i.e., whether within the subunit, between the two subunits of a monomer and/or between monomers, as well as a possible influence on the surface potential of the trimer (indicated by √). For positions for which several stabilising amino-acid substitutions have been reported, X denotes different substitutions at the indicated residue

Sub-unit Mutation Influence of Mutation
Within subunit Intramonomer HA1-HA2 interface Intermonomer interface Surface potential ectodomain
HA1 Glu31Lys √ √
Lys57Glu √ √
Lys62Glu √ √
Arg81Gly √ √
Arg90Glu √ √
Lys109Ala √ √
Lys109Gln √ √
Lys226Ile √ √
Lys269Glu √ √
Tyr17His √
Glu106Asp √
Val315X √ √
Thr318Ile √ √
His18Gln √
His110X √ √ √
His184Arg √ HA1-HA1
HA2 Asp57(2)Tyr √ √
Lys58(2)Val HA2-HA2 √
Arg68(2)Ser √ √
Ile77(2)Leu HA2-HA2
Glu78(2)Phe √
Asp90(2)X

HA2-HA2

HA2-HA1

Val91(2)Met HA2-HA2
Asp95(2)X HA2-HA2
Leu98(2)Met √ HA2-HA2
L99(2)Met HA2-HA2
Arg106(2)Glu HA2-HA2
Asn117(2)X √ HA1-HA2 √

Fig. 3. Stabilising mutations in the ECD of HA.

Fig. 3

Overview of the distribution of amino acid residues in HA1 and HA2 for which Dadonaite et al. (2024) identified mutations that stabilise the ECD.

Stabilising mutations in the HA1 subunit

Residues within the HA1 subunit where mutations can stabilise the ectodomain are located essentially in the lower part of the head domain, above the stalk region, and in a small region of the ECD stalk.

Glu31Lys

Glu31 is located on the surface of the ECD (see Fig. 4A). The stabilising mutation results in a loss of polar interaction with Arg321, while still retaining interaction with Thr28. Since the site is in a negatively charged environment, a positively charged residue such as lysine can stabilise the prefusion conformation, particularly at an acidic pH (Fig. 4A).

Lys57Glu and Lys62Glu

The Lys57Glu and Lys62Glu mutations locally reduce the positive surface potential of the ECD that dominates in this region (Fig. 4A). The reduction in the strongly pronounced positive surface potential, particularly at acidic pH, caused by the mutations reduces its repulsive nature and can thus contribute to the stabilisation of the ECD. Other neutral amino acids (Lys57: Gly, Ile, Gln; Lys62: Thr, Tyr, Trp) also promote stability in this way.

Arg81Gly

We presume that the Arg81Gly mutation stabilises the prefusion conformation also due to an altered surface potential. The Arg81 residue is located in the HA1 head domain which has a positive potential to which the residue contributes (Fig. 4A). The mutation to glycine reduces the repulsive nature of this region, particularly at an acidic pH, which could lead to stabilisation. The stabilising effect of this mutation may have another, non-mutually exclusive cause. Adjacent to Arg81 are the highly hydrophobic residues Ile80 and Phe79. Mutations in Ile80 are always destabilising, whilst mutations in Phe79 are stabilising only if they involve neutral, hydrophobic amino acids. This shows that the hydrophobic environment is essential for the stability of the ECD and that this environment can be strengthened in its stabilising effect by appropriate mutations of Arg81 (e.g., Ile, Val, Met), which simultaneously reduce the local positive surface potential.

Arg90Glu

Like other mutations already mentioned, the Arg90Glu mutation reduces the local positive surface potential and thereby may also contributes to the stability of the ECD at acidic pH (Fig. 4A, see also the Lys269Glu mutation). However, with the exception of Lys, all other amino acids also increase the stability of the ECD, which can also be explained by the reduction in positive surface potential.

Glu106Asp

As shown on Dadonaite’s study, this mutation greatly increases the stability. The introduction of Asp maintains the existing interaction with Asn71(2) as found in the wild type (wt) (Fig. 4B, C), but an additional interaction also occurs between Asp106 and Arg76(2) of the neighbouring monomer. Therefore, in addition to stabilising the HA1-HA2 interface of a monomer, it also stabilises the HA1-HA2 interface between two monomers. It is noteworthy that the local surface potential is affected, even though Asp is also a negatively charged amino acid (Fig. 4B). The locally very pronounced positive potential is weakened by Asp, which could also support stabilisation at an acidic pH.

Lys109

This residue site is located in a short helix of the HA1 head domain (Fig. 4A). Two mutations at position 109 (Ala and Gln) stabilise the prefusion conformation at acidic pH levels1. This may be due to an effect on the local surface potential, whereby Lys109 contributes to the positive surface potential of this ECD region. This effect is enhanced at lower pH, which could potentially cause repulsive forces that destabilise the prefusion conformation. Mutations to Ala or Gln at position 109 reduce this effect and stabilise the structure at acidic pH. The Lys109Gln mutation is more stabilising than the Lys109Ala mutation, likely due to a polar interaction with Tyr105.

Lys262Ile

Dadonaite et al. (2024)1 found that the prefusion conformation of the Lys262Ile mutant was stable even at a pH of 5.3. Lys262 is close to other positively charged residues, such as Arg81, Lys109 and Lys269. The repulsive positive surface potential, to which Lys contributes, is enhanced at acidic pH due to the protonation of these residues (Fig. 4B). This effect is reduced by Ile, which may explain the enhanced stability at acidic pH (see also the Lys269Glu mutation). Other amino acids, such as Glu, Gln and Leu, also contribute significantly to an increased stability. They all have in common that they reduce the positive surface potential.

Lys269Glu

Although the mutation causes a loss of polar interaction with various residues (Glu89, Arg90 and Ala91), the locally changing surface potential could cause an increase in stability, as reported1 (Fig. 4B, C). The potential reduction in stability at low pH due to local repulsive forces caused by the protonation of Lys269 would be offset by the negatively charged Glu residue. As with site 262, the stability is significantly increased by amino acids such as Glu, Gln and Trp, which reduce the positive surface potential.

Val315-Asn104(2)

There is a weak polar contact which exists between Val315 and Asn104(2) and is localized within the stem region of a monomer (not shown). Mutations at Val315 generally stabilise the conformation, particularly when substituted with Arg or Asn. The Arg variant forms an additional polar bond with Gln25 of HA1, which is likely to explain the stabilisation. Although most Asn104(2) mutations could not be experimentally characterised1, the characterised ones decreased stability, indicating that this intersubunit contact is critical for structural integrity.

Thr318

Thr318 is located in the stem region of HA close to the fusion peptide pocket. It forms polar interactions with His38 and His111(2) (not shown). It contributes to conformational stability, as only the Ile substitution has a moderate stabilising effect on H5N1 clade 2.3.4.b HA1. This aligns with the findings of Imai et al. (2012)18, who reported a 0.3 pH unit reduction in fusion pH for HA of A/Vietnam/1203/2004 (H5N1). This effect is likely due to the higher hydrophobicity of Ile compared to Thr, which promotes interactions with residues 314–317 (Leu-Val-Leu-Ala), Gly319, Ile320, Ala44(2), and Ile45(2) of the adjacent HA2 subunit. Its proximity to the fusion pocket suggests that Ile may enhance embedding of the hydrophobic fusion peptide.

In summary, stabilising HA1 mutations are mainly found in the lower head domain above the stem region and act by reducing local positive surface charge or by strengthening inter- and intramolecular interactions. Substitutions such as Glu31Lys, Lys57Glu, and Arg90Glu lower electrostatic repulsion under acidic conditions, whereas mutations like Glu106Asp and Thr318Ile enhance stability through additional polar contacts or hydrophobic packing near the fusion peptide.

Stabilising mutations in the HA2 subunit

As already mentioned, the HA2 stem and fusion peptide regions are highly conserved and critical for HA trimer stability, with most mutations being destabilising (Fig. 2 and S2). However, Dadonaite et al. (2024)1 identified potential stabilising mutations at selected HA2 sites (Fig. 3), primarily in the long helix and its connecting region to the short helix. The latter partially shields the lower part of the long helix from its surrounding. No stabilising mutations were found in the short helix, underscoring the importance of this region for ECD stability. We next analysed the molecular basis of mutations at the sites shown in Fig. 3 that may enhance ECD stability (see Supporting Information for Gly4(2), Ala5(2), Asp112(2), and Asn117(2)).

Asp57(2)Tyr

This mutation preserves the polar interaction between Asp57(2) and Asn54(2), both located in the same HA2 helix (not shown), while neutralizing the slightly negative surface potential of Asp57(2) at pH 7.4 and 5.3. Thr and Gly substitutions are also stabilising. Overall, neutral amino acids enhance ECD stability, whereas hydrophobic ones do not; however, the molecular basis remains unclear.

Arg68(2)Ser

Arg68(2) forms polar interactions with Gly67(2) and Glu85(2). Glu85(2) resides in the long HA2 helix, whereas Arg68(2) and Gly67(2) are located in the loop connecting the two HA2 helices (Fig. 5A). Nearby residues Arg75(2) and Arg76(2) in the loop, and Lys82(2) and Lys83(2) in the long helix cluster around Arg68(2) (Fig. 5B; for Lys82(2) and Lys83(2) see Supporting Information) and contribute to a locally positive surface potential, particularly at acidic pH (Fig. 5). The Arg68(2)Ser mutation disrupts interactions with Gly67(2) and Glu85(2) without forming new ones, but reduces the local positive surface potential, which may explain its stabilising effect (Fig. 5B). Consistently, substitutions with Glu, Gln, Asn, or neutral and hydrophobic residues also enhance stability.

Fig. 5. Polar interactions and surface potential effects of Arg68(2) mutations.

Fig. 5

A Polar interactions of Arg68(2) with residues within the same HA2 subunit. B The mutation Arg68(2)Ser reduces the local positive surface potential of the ECD (B).

Ile77(2)Leu

Dadonaite et al. (see Fig. 4D in ref. 1) found that the Ile77(2)Leu mutation stabilises the HA structure at an acidic pH. This site, being close to the HA head domain, is located in the long helix of the HA2 subunit. Here, the long helices of the three HA2 subunits are in close proximity to each other. Unlike Ile, Ile77(2)Leu of the three HA helices form several hydrophobic interactions among them, explaining the stabilising effect (Fig. 6B, C).

Fig. 6. Hydrophobic interactions between long helices of HA2 subunits.

Fig. 6

A Top view on the trimer. The hydrophobic interactions (orange dashed lines) of the mutations Ile77(2) (B, C) and of the Val91(2)Met (D, E) between the three long helices of the HA2 subunits are shown.

Interactions in the upper part of the stem region contribute to the stability of the ECD. In the wt strain H5N1, there are various residues that mediate several polar and hydrophobic interactions in this region between the long helices of the HA2 subunits of a trimer. These residues exhibit mutational intolerance with regard to the stability of the ECD (see Supporting Information, e.g. Lys82(2) and Lys83(2)).

Glu78(2)Phe

In addition to a salt bridge with Arg75(2) (3.4 Å), there are polar interactions with Glu74(2), Arg75(2) and Lys82(2) (1.9–2.4 Å) within the same HA2 (not shown). These residues are located in the top region of the same long HA2 helix. Following the Phe mutation, however, only the polar interactions with Glu74(2) and Lys82(2) (2.0 and 1.9 Å, respectively) remain. The highly hydrophobic, nonpolar nature introduced by the Phe mutation suggests that the ECD can be stabilised by a hydrophobic top region of the long HA2.  This interpretation is consistent with the stabilising effect of the Ile77(2)Leu  mutation discussed above.

Leu89(2)Glu

There are polar interactions between Leu89(2) and the residues Glu85(2) and Thr93(2) (not shown). The interaction with Thr93(2) is strengthened by the Glu (and Asp) mutations, which create an additional, stronger interaction (not shown). This could explain why the mutation has a stabilising effect on the HA2 stem region. The mutation Glu and Asp have no effect on the surface potential at either pH 7.4 or pH 5.3.

Asp90(2)Glu

Asp90(2) is located in the long HA2 helix (Fig. 7A) and forms a network of polar interactions within the helix, with Gln62(2) in the adjacent HA2 helix, and with Lys307 of the neighbouring HA1 subunit (Fig. 7A), including a 3.5 Å salt bridge. This network is retained in the Asp90(2)Glu mutation (Fig. 7B), with altered polar interactions and a strengthened interaction with Lys307 via a shorter salt bridge (2.9 Å) and additional polar contacts, stabilising the ECD.

Fig. 7. Influence of the mutation Asp90(2)Glu on polar interactions in the HA trimer.

Fig. 7

A Localization of Asp90(2) and its interaction with other residues between the HA2 subunit (light grey; with relevant residues in green) and the HA1 (dark grey) and HA2 subunits (light grey) of the neighbouring monomer (with relevant HA1 and HA2 residues in orange). B Asp90(2)Glu. Salt bridges of Lys307 are shown in magenta.

The Asp90(2)Met mutation is also stabilising. Polar interactions within the same HA2 helix (with Tyr94(2) and Asp86(2)) and a nonpolar interaction with Lys307 are maintained. Within 4 Å of position 90(2), numerous nonpolar residues are present in both the same HA2 subunit (Gly, Phe, Val, Leu, Trp) and the neighbouring HA2 subunit (Met, Asn, Thr, Gln, Trp). The hydrophobic nature of Met likely promotes stabilising interactions; consistent with its tendency to be buried in protein cores, it supports packing and structural stability61. The surface potential is unaffected by this mutation.

Val91(2)Met

Polar interactions exist between Val91(2), Gly87(2) and Asn95(2), which are all located on the same helix (not shown). These interactions are preserved by the Val91(2)Met mutation. This has a stabilising effect comparable to that of the Ile77(2)Leu mutation, whereby the side chains of the Met residues are oriented towards the centre of the three long HA2 helices. This leads to hydrophobic interactions between the three Met residues.

Asp95(2)Glu

Polar interactions between Asn95(2) residues of adjacent long HA2 helices are maintained across pH values and are preserved in the Asp95(2)Glu mutation. The Glu–Glu interaction (2.5 Å) is stronger than the Asp–Asp interaction (2.8 Å) based on bond length (Fig. 8), while polar contacts with Leu99(2) and Val91(2) remain in both cases.

Fig. 8. Influence of Asn95(2) mutation on interaction between HA2 subunits.

Fig. 8

Interaction between two neighbouring HA2 subunits via Asn95(2) (A) and Asn95(2)Glu (B), respectively.

Asp95(2)Met is also stabilising. Methionine side chains, oriented toward the centre between the three long helices, interact via hydrophobic forces (3.0 Å). Its stabilising effect likely reflects its hydrophobic character and role in core packing, particularly given the predominantly hydrophobic surrounding residues (Val, Trp, Thr, Ala, Leu), consistent with observations for Asp90(2)Met. None of the mutations affects the surface potential.

Leu98(2)Met

Leu98(2) forms polar interactions with Tyr94(2) and Met102(2) within the same HA2 helix. The Leu98(2)Met mutation preserves these interactions and introduces additional hydrophobic interaction with Tyr94(2) and Met102(2) (not shown), as well as a hydrophobic interaction with Ile55(2) of the neighbouring HA2 helix, potentially enhancing ECD stability. The surface potential remains unaffected.

Leu99(2)Met

Both Leu99(2) (Fig. 9A) and the Leu99(2)Met (Fig. 9B, C) mutation form polar interactions with Asn95(2) and Glu103(2) on the same HA2 helix (not shown). However, unlike Leu, Met forms a network of hydrophobic interactions due to its orientation towards the centre between the three long HA2 helices (Fig. 9).

Fig. 9. Hydrophobic interaction network formed by Leu99(2)Met mutation.

Fig. 9

A Top view on Leu99(2) residues. B, C Mutation of Leu99(2) by Met introduces a local network of hydrophobic interactions (orange) between various residues (B, C). Note that the position of the residues in (C) has been rotated relative to their position in (B) to make the various interactions more clearly visible.

Arg106(2)Glu and Arg106(2)Lys

Arg106(2) forms polar interactions within the same helix and with Glu105(2) of a neighbouring HA2 subunit (Fig. 10A); the latter interaction is lost in the Arg106(2)Lys and Asp106(2)Glu mutations. In Asp106(2)Glu, a new interaction with Lys51(2) in the short HA2 helix of the same subunit is formed and stabilised by a 2.6 Å salt bridge (Fig. 10B). The stabilising effect may also result from reduced repulsion - especially at acidic pH - between Arg106(2) side chains projecting into the stem centre, an effect diminished by Arg106(2)Lys and more strongly by Arg106(2)Glu. Consistent with Dadonaite et al. (2024), only charged substitutions appear to confer stability, whereas neutral or nonpolar residues do not.

Fig. 10. Consequences of Arg106(2) mutation on inter- and intra-helical interactions in HA2.

Fig. 10

A Interaction between two neighbouring HA2 subunits via Arg106(2) und Glu105(2). B Interaction between the long and short helix of a HA2 subunit via Arg106(2)Glu and Lys51(2). In the right panel the orientation of the residues Arg106(2) (A) and Arg106(2) (B) of the three long HA2 helices are shown. Salt bridge (B) is shown in magenta.

Asn117(2)Glu

This residue is located in the helical region of HA2, close to the viral envelope. Dadonaite et al. (2024)1 found that this mutation stabilises the HA structure at acidic pH (see Fig. 4D in ref. 1). Asn117(2) forms an intrasubunit interactions with Ser113(2) and Lys121(2), as well as an intermonomeric contact with Leu2(2) of the neighbouring HA2 subunit. Leu2(2) marks the N-terminus of the fusion peptide. The Asn117(2)Glu mutation leads to a loss of the interaction with Leu2(2). Additionally, this mutation causes a considerable shift in the local surface potential from slightly positive to negative values (Fig. 11). Therefore, Asn117(2)Glu could reduce the repulsive nature of the region through protonation at low pH, thereby stabilising the prefusion conformation. However, it should be noted that other mutations also stabilise the prefusion conformation. These include neutral amino acids that provide a more hydrophobic nature matching the property of the fusion peptide.

Fig. 11. Influence of mutation of Asn117(2) on the surface potential.

Fig. 11

A, B Polar interactions of Asn117(2) localised in the lower part of the stem region and the influence of the mutation Asn177(2)Glu on the surface potential of the ECD at pH 7.4 and 5.3. C Polar interactions of Asn117(2) and Asn117(2)Arg. Colouring of subunits: HA2 of the same monomer – green, relevant residue - red; HA2 of the neighbouring monomer – grey, relevant residues - blue.

In summary, potentially stabilising HA2 mutations occur mainly in the long helix and the connecting loop. They often increase stability by improving interhelical packing through hydrophobic substitutions, strengthening polar networks, or reducing electrostatic repulsion in charged regions. Methionine substitutions are especially notable because they support hydrophobic core packing within the helix bundle.

Histidine residues as pH sensors for the HA conformational change

Several studies have identified specific histidine residues as key pH sensors that can trigger the HA conformational change upon protonation. Histidine is uniquely suited to this role as its protonation state changes within the physiological pH range (pH 7–6). At neutral pH, histidine is deprotonated and uncharged whereas at acidic pH, near its pKa (~6), it becomes protonated. However, the effective pKa of a histidine side chain depends on its local environment62,63.

In total, there are 16 histidine residues in the ECD of the HA monomer of A/Texas/37/2024, four of which are located in the HA2 subunit. All residues except His111(2), are localised on the surface of the ECD, albeit exposed to varying degrees (Fig. 12). Some histidine residues that are either conserved within a single subtype or across several subtypes have been suggested as possible triggers of the pH-dependent conformational change of HA. These include His18 and His184 in HA1, and His111(2) and His142(2) in HA2 of A/Texas/37/202412,62,64–66 (Figure S8). With a few exceptions, mutations of histidine residues negatively affect HA stability and/or viral entry (Dadonaite et al. (2024))1, for example mutation of His1112 (Figure S9). Exceptions include HA1 histidine residues 18, 38, and 110. Substituting these positions with non-charged residues (e.g., Ser or Thr), or with a positively charged amino acid in the case of His38, have been shown to stabilise HA.

Fig. 12. Localisation of surface exposed histidine residues in the ECD of HA.

Fig. 12

A The His residues are shown (in blue) only for one monomer in three different positions. B Position of the monomer shown in panel A within the trimer.

His18

His18 is in close proximity to the fusion peptide (Fig. S6) and forms a polar contact with Trp21(2) (not shown). Protonation of His18 can destabilise this region and promote peptide release during the conformational change. Substituting His18 with Gln has been shown to lower the fusion pH threshold by ~0.3 units in H5 HA9,67–69. Dadonaite et al. (2024)1 confirmed this stabilising effect, as Gln lacks protonation and forms an additional polar contact with Gly20(2) (not shown), thereby enhancing local stability at low pH. Similarly, His18Phe exerts a stabilising influence on the ECD.

His110

This exposed residue in the HA1 head, forms polar contacts with Glu106 and Ser113 and interacts with HA2 via Glu69(2) (not shown). Dadonaite et al. (2024)1 found that substitutions with neutral residues enhance ECD stability, which is consistent with reports that substitution of His110 with Tyr lowers the fusion pH from 5.6 to 5.2 and increases airborne transmission in ferrets37,47. This effect likely reflects reduced electrostatic repulsion, as His110 is surrounded by positively charged residues (Lys109, Arg114, Lys262, Arg75(2) and Arg76(2)). Protonation at low pH would otherwise destabilise the structure. Tyrosine substitution mitigates this effect stabilising the prefusion conformation. However, Mair et al. (2014) 62 noted that the conservation of His110 in only a few subtypes (H2, H5, H13, H16) suggests that it is not the main trigger of the conformational change.

Discussion

In this study, we examined how individual mutations in the ECD of HA of the currently circulating H5N1 clade 2.3.4.4b virus affect interactions at specific sites, using deep mutational scanning data from Dadonaite et al. (2024)1. In contrast to Dadonaite et al. (2024), who identified stabilising mutations experimentally, our study provides a structural interpretation of how these substitutions alter local interaction networks and surface electrostatics in the ECD. This analysis is valuable for monitoring critical mutations and providing initial insights into viral adaptation to human host cells. Overall, our structural and mutational analyses indicate that H5N1 clade 2.3.4.4b HA possesses a substantial capacity to accommodate stabilising substitutions that enhance resistance to acid-induced conformational change. The identified mutations act through complementary mechanisms, which include the neutralisation of surface-exposed acidic residues, the strengthening of hydrogen-bonding networks, and the reinforcement of trimeric interfaces. These mechanisms are intended to preserve the metastable prefusion architecture at lower pH12,13,15,17. Such adaptations are analogous to the evolutionary trajectory observed in human-adapted influenza subtypes, where increased HA acid stability preserves the metastable HA conformation along the airborne transmission via respiratory droplets and the passage of the mildly acidic environment of the upper respiratory tract. Consequently, the emergence of these stabilising mutations in circulating avian strains could signify progressive adaptation toward mammalian hosts. Therefore, continuous genomic surveillance and analysis of the structural consequences of mutations of these variants are essential to assess their potential impact on viral fitness, transmissibility, and pandemic risk. However, one has to keep in mind that the effects of mutations on acid stability do not necessarily correlate strongly with their effects on cell entry1,70, indicating that these phenotypes should be considered separately.

To place these mutational effects into a structural context, we analysed the residue interaction networks within the ECD of wt H5N1. The analysis of residues in the ECD of wt H5N1, for which most mutations destabilise the ECD (see Supplemental Information), revealed that they are embedded in local networks of polar interactions spanning HA1 and HA2, with the stem region contributing strongly to structural integrity. In the upper stem, residues such as Lys51(2), Asn114(2), and the Lys82(2)-Lys83(2)-Asn81(2) cluster act as stabilising nodes by forming intra- and interhelical contacts that link HA2 helices and connect them to HA1. Interactions in the lower region of the long HA2 helix likewise support trimer integrity, as mutations in these residues are consistently detrimental. The fusion peptide region is embedded in a dense network of short-range polar interactions, reflecting its dual role in maintaining prefusion stability and enabling membrane fusion. In the HA1 head domain, networks including His184 contribute to stability, with its protonation weakening polar contacts and supporting its role as a pH sensor for conformational change. These structural features provide a mechanistic basis for the stabilising effects of mutations described above, particularly those that modulate electrostatic interactions and reinforce interdomain contacts.

Potential stabilising HA1 mutations are mainly located in the lower head domain above the stem region. Here positively charged amino acids are densely organised in a small region of the lower wt head domain, spanning the full monomer cross-section, and the repulsive potential may contribute to triggering conformational change (Fig. 13). Mutations likely stabilise HA by reducing the pronounced positive surface potential, which may lower electrostatic repulsion at acidic pH and help to maintain the prefusion conformation. We note that changes in local surface potential are likely one contributor to ECD stability, but not a quantitative predictor, as local stability also depends on additional interactions not captured by this parameter. Further work is needed to determine whether this mechanism is conserved across IAV subtypes. Surface-potential comparisons of H5N1, H3N2, and H1N1 strains show similarly positive regions at acidic pH, although their organization differs (Fig. 14), which does not exclude a role in conformational conversion.

Fig. 13. Localisation and impact of positively charged residues in the lower HA1 head domain on surface potential.

Fig. 13

Localisation of amino acids in the lower region of the wt HA1 head domain (A), which induce a pronounced local positive surface potential at neutral and, in particular, acidic pH (B). These residues cover the entire cross-section of a monomer (C, D). By introducing appropriate mutations in some of these residues, which lead to a reduction in the positive surface potential, the prefusion conformation of the ECD can be stabilised (for details, see text).

Fig. 14. Comparison of the surface potential of strains of different IAV subtypes at neutral pH (7.4) and acidic pH (5.3).

Fig. 14

A A/Texas/37/2024 (H5N1); (B) A/Hong Kong/1/1968 (H3N2); (C) A/California/04/2009 (H1N1); (D) A/South Carolina/1/1918 (H1N1). The arrows indicate regions of pronounced positive surface potential, particularly at pH 5.3. The pdb codes are given.

Based on recent studies by Bloom and colleagues, the organisation of stabilising and destabilising interactions within the ECD appears to be only weakly conserved across subtypes. In line with the H5N1 analysis by Dadonaite et al. (2024)1, comparable assessments of HA stability have also been performed for human-adapted H3N2 (A/Massachusetts/18/2022) and H7N9 (A/Anhui/1/2013) strains (Yu et al., 202670; Ahn et al., 202671). Despite sharing highly conserved structures and cell entry functions, HA subtypes H3, H5 and H7 exhibit significant sequence divergence, with only 40–47% amino acid identity71. Deep mutational scanning revealed that approximately half of the HA sites exhibit significantly different amino acid preferences across these subtypes. While the analysis confirmed that the HA2 stem domain is more conserved and the HA1 head and receptor-binding regions show greater variation in response to immunological and host-related pressures, it also demonstrated that proteins with highly similar structures can evolve dramatically different site-specific evolutionary constraints. This limits the transferability of mutational data between subtypes and highlights the importance of subtype-specific information in vaccine design and viral surveillance.

However, the present approach considers each mutation in isolation and does not account for multiple simultaneous mutations. Xie et al. (2025)25 highlighted the challenges of analysing the synergistic effects on transmissibility and virulence, given the limited methodological and functional study options due to ethical and safety constraints. Dosey et al. (2025)72 demonstrated that simultaneous mutations in the HA stem of H5N1 clade 2.3.4.4b can stabilise the protein in ways not observed when mutations are studied individually. The approach employed in this study has the potential to characterise the influence of mutations occurring at multiple sites concurrently. For instance, the impact on the surface potential of the ECD would be more significant if multiple stabilising mutations characterised in this study occurred together in HA1. However, it remains unclear whether this would cause local structural changes, or whether it would have a stabilising effect. It is evident that experimental investigations would be necessary to determine this.

This approach is also relevant to understanding epistasis73,74, whereby compensatory mutations offset the fitness costs of otherwise detrimental escape mutations. Host adaptation and antibody evasion may drive mutations in HA, which compromise its stability and reduce viral fitness75,76. For example, the stem is highly conserved, making it a promising target for broadly neutralizing antibodies77,78. However, escape mutations in this region can disrupt the delicate balance between stability and fusogenic function79. Lee et al. (2023)80 demonstrated that escape mutations in the HA stem of pandemic H1N1 viruses incur fitness costs. However, these have been preceded by a compensatory mutation in the head domain that enhanced receptor affinity, offsetting the deleterious effects of stem alterations81,82. Finally, now it can be detected in currently globally circulating pandemic IAVs of the H1N1 lineage. Similar interactions have been observed in H3N2 viruses, where co-evolving HA1 head mutations increase binding avidity and thermal stability despite the destabilising effects of individual mutations83.

Evaluating HA in isolation also neglects the role of the homotetrameric spike protein neuraminidase (NA). Although NA is less abundant than HA, it is essential for mucus penetration and for viral release from the host cell84,85. NA cleavage of sialic acids facilitates mucus traversal and host cell access86–88, and its activity must remain balanced with HA binding to optimize viral attachment and release86,87,89–92. Liu et al. (2022)93 showed that studying HA drift alone ignores the HA–NA balance crucial for viral fitness, as interactions between the two proteins shape antigenic evolution. Ilyushina et al. (2012)94 found that avian H5N1 viruses adapted to human bronchial cells via HA mutations only when NA activity was suppressed, indicating that reduced NA facilitates adaptation. Liu et al. (2022)93 emphasised that ignoring HA–NA interactions overlooks key drivers of antigenic evolution. Blumenkrantz et al. linked limited mammalian transmissibility of H5N1 to short NA stalks impairing mucus penetration69, whereas Hermann and Krammer (2025)95 reported that most clade 2.3.4.4b H5N1 isolates, including those in dairy cattle, retain long NA stalks. Similar HA–NA co-adaptations occur in H7N3 viruses, where HA mutations lowering activation pH coincide with NA stalk deletions reducing activity96.

Conclusion

This study provides a structural interpretation of mutations that enhance acid stability of the hemagglutinin ectodomain of H5N1 clade 2.3.4.4b. Integrating deep mutational scanning with structural analysis shows that increased stability at acidic pH arises from complementary mechanisms, including modulation of surface electrostatics, reinforcement of hydrogen-bond networks, and stabilisation of intra- and intermonomeric interfaces, thereby preserving the metastable prefusion conformation under conditions relevant for mammalian infection and airborne transmission.

A key finding is that many effective stabilising mutations are located in the HA1 head domain rather than the conserved HA2 stem. These substitutions mainly reduce protonation-induced increases in positive surface potential at mildly acidic pH that would otherwise destabilise the prefusion conformation. Representative examples include Glu31Lys, Arg81Gly, Lys109Ala/Gln, Lys262Ile and Lys269Glu, underscoring the importance of electrostatic tuning for HA acid stability. Stabilising mutations can be qualitatively ranked by structural impact. Highly stabilising mutations (e.g. Glu106Asp, Lys262Ile, Lys269Glu and His110Tyr) strongly reduce electrostatic repulsion or reinforce key interfaces. Moderately stabilising mutations, such as Thr318Ile and Ile77(2)Leu, enhance hydrophobic packing or trimeric stem interactions, while context-dependent mutations (e.g. Asn117(2)Glu and His18Gln) fine-tune local pH sensitivity near the fusion peptide and likely act synergistically. Overall, the stability of HA acid is not governed by a single mutation but can be incrementally enhanced through multiple pathways. Although this indicates that there is potential evolutionary plasticity in clade 2.3.4.4b viruses, this plasticity is likely constrained by other pleiotropic effects. However, this study considers mutations individually and does not capture epistatic effects or constraints imposed by receptor binding, neuraminidase activity and polymerase function. Therefore, experimental studies combining mutations and analysing HA–NA co-adaptation will be essential. Our analysis provides a structural framework for interpreting acid-stability-associated HA mutations, the proposed mechanisms remain computationally derived hypotheses and will require direct experimental validation using purified mutant proteins, biophysical stability measurements, and ideally mutant HA structures.

In summary, this study has identified potential structural determinants of HA acid stability in the current H5N1 clade 2.3.4.4b viruses, providing a basis for prioritising mutations in genomic surveillance and evaluating their impact on pandemic risk.

Supplementary information

Acknowledgements

We would like to thank Prof. Dr. Rainer Haag (Freie Universität Berlin) for his continuous support of the project and his critical and helpful comments on the manuscript. We would like to thank Prof. Qiang Huang (Fudan University, Shanghai) for his technical advice. D.C.L. and A.H. gratefully acknowledge funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - GRK 2662 “Charging into the Future” (ID 434130070) and CRC 1449 “Dynamic Hydrogels at Biointerfaces” (ID 431232613). C.S. acknowledges support by the Helmholtz Association (VH-NG-1526).

Author contributions

All authors (C.S., D.C.L., M.B., A.H.) contributed to conception and design of the study. AH explored software-supported residue interaction. All authors (C.S., D.C.L., M.B., A.H.) worked on the draft and final version of the manuscript. All authors have read and approved the manuscript.

Funding

Open Access funding enabled and organized by Projekt DEAL.

Data availability

All data supporting the findings of this study are available within the paper and its Supplementary Information. Data are available from the corresponding authors upon reasonable request.

Declarations

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Daniel Christian Lauster, Email: daniel.lauster@fu-berlin.de.

Christian Sieben, Email: christian.sieben@helmholtz-hzi.de.

Supplementary information

The online version contains supplementary material available at https://doi.org/10.1038/s44298-026-00236-y.

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Data Availability Statement

All data supporting the findings of this study are available within the paper and its Supplementary Information. Data are available from the corresponding authors upon reasonable request.


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