Graphical abstract
Keywords: MetJ, Methionine repressor, S-Adenosylmethionine analogues, Bivalent ligands
Abstract
In optimal cases, bivalent ligands can bind with exceptionally high affinity to their protein targets. However, designing optimised linkers, that orient the two binding groups perfectly, is challenging, and yet crucial in both fragment-based ligand design and in the discovery of bisubstrate enzyme inhibitors. To further our understanding of linker design, a series of novel bivalent S-adenosylmethionine (SAM) analogues were designed with the aim of interacting with the MetJ dimer in a bivalent sense (1:1 ligand/MetJ dimer). A range of ligands was synthesised and analyzed for ability to promote binding of the Escherichia coli methionine repressor, MetJ, to its operator DNA. Binding of bivalent SAM analogues to the MetJ homodimer in the presence of operator DNA was evaluated by fluorescence anisotropy and the effect of linker length and structure was investigated. The most effective bivalent ligand identified had a flexible linker, and promoted the DNA–protein interaction at 21-times lower concentration than the corresponding monovalent control compound.
Bivalent ligands, in which two identical binding groups are linked by a spacer unit, can have exceptionally high binding affinity, and can, consequently, be useful modulators of biological function.1 However, the optimisation of linkers between the binding groups can be challenging, and, yet, is crucial in both fragment-based ligand (and drug) design2 and in the discovery of bisubstrate inhibitors.3 In this paper, we describe a series of symmetrical bivalent ligands that was prepared to extend our understanding of the effects of linker length and flexibility on biological activity.
S-Adenosylmethionine (SAM, 1)4,5 was chosen as the binding unit due to its well studied interaction with the Escherichia coli methionine repressor, MetJ (Fig. 1). MetJ is a homodimeric DNA-binding protein which functions in complex with two molecules of the co-repressor, SAM. Binding of positively charged SAM molecules is believed to promote binding of the repressor to its target DNA by a unique mechanism based primarily on long-range electrostatics transferred through the protein structure.6,7 The dissociation constant of the MetJ-consensus, minimum operator DNA complex in the presence of saturating (1 mM) levels of SAM 1 has been determined to be 4 (±3) nM by filter binding studies. However, in the absence of SAM, 1, saturation binding of the protein to the DNA was never achieved and the Kd was estimated to be 10 μM.8
The design of bivalent SAM analogues started by examination of the SAM–MetJ dimer–DNA complex crystal structure (Fig. 1).4 In this structure, a pair of co-repressor molecules is arranged symmetrically with the terminal carboxyl groups ∼5 Å apart. When designing the structure of bivalent SAM ligands, consideration was given to the structures of previously identified SAM analogues (Panel A, Fig. 2). Aza-SAM, 2, is a stable nitrogen analogue of the (unstable9) natural co-repressor SAM, 1, which has been shown to bind to the protein in an identical conformation.10 Previously, we have shown that both amide formation at the carboxy terminus of aza-SAM (to give 3) and removal of the α-NH2 group (to give 4) do not greatly affect function.11 In contrast, quaternisation of the 5′-position amine of 4, to give the charged analogue 5, significantly improved activity.11 A range of bivalent SAM derivatives was, therefore, designed in which secondary amides were used to link two aza-SAM analogues (Panel B, Fig. 2). The optimal separation of the terminal carbons in the linkers of such bivalent ligands may be estimated by analysis of the structure of the SAM–MetJ dimer–DNA complex. Provided that the bivalent ligands interact with MetJ analogously to SAM, and that the secondary amides adopt the preferred12 syn conformation, the optimal separation of the terminal carbons of the linker is ∼5.3 Å. The proposed interaction of an exemplar bivalent ligand to the MetJ dimer, in which a simple linker bridges between the binding units, is shown in Panel C, Figure 2. It was proposed to optimise the bivalent analogues by varying the length and flexibility of the linker and by investigating the effect of quaternisation.
Initial studies focused on bivalent analogues incorporating rigid linkers, for example linkers based on 7a and 7b (Scheme 1) in which the benzylic carbon atoms are separated by 5.8 and 5.0 Å respectively. Accordingly, coupling of the carboxylic acid 6 with the diamines 7a and 7b gave the bivalent derivatives 8a and 8b in 68% and 66% yield respectively; unfortunately, partial (∼20%) epimerization, α to the carbonyl group, occurred under the reaction conditions (Scheme 1).
The intermediates 8 were exploited in the synthesis of two different analogue classes. Acid-catalyzed deprotection gave the corresponding unquaternised ligands 9a,b; alternatively, methylation and deprotection afforded the quaternised derivatives 10a,b (Scheme 2). The bivalent ligands 9c–e (Fig. 3 and Supplementary data) and the monovalent benzyl amides 11 and 12 were also prepared (Fig. 4 and Supplementary data).
It was also decided to prepare a series of bivalent ligands with more flexible linkers in which the length of the linker was varied more widely (see Scheme 3). The α-NH2 group was omitted for this series, both because this group has only a small11 effect on the function of monovalent amides (e.g., 3) and because of the epimerization observed in couplings of α-NHBoc acids. Strain-promoted ‘click’ reaction15 between the azides 13 (n = 211 and 4) and the cyclooctyne 1411 and acetonide removal gave the corresponding bivalent analogues 15 as mixtures of regioisomers. Furthermore, reaction between the carboxylic acid11 17 and a series of α,ω-diamines, and deprotection, gave the bivalent analogues 18 (n = 2, 3, 4 and 6). Finally, treatment of the bivalent analogues 15 and 18 with methyl iodide gave the corresponding quaternised derivatives 16 and 19.
A fluorescence anisotropy-based binding assay was used to compare the relative ability of SAM analogues to promote MetJ dimer–DNA complex formation. Since SAM has low affinity for MetJ in the absence of DNA,8,13 measurements were made in the presence of the DNA fragment F-metC, a fluorescently-labeled analogue of the shortest naturally occurring operator sequence, metC.14 Titration of MetJ into a solution containing fixed concentrations of F-metC and ligand allows the change in anisotropy related to ternary complex formation to be measured (Fig. 5).
The half-maximal concentration of MetJ, EC50, required to promote complex formation was determined for each ligand. The concentration of the ligands used was comparable to the low millimolar SAM concentrations used in previous in vitro binding assays, and to the estimated SAM concentration in vivo.8 The monovalent ligands 11 and 12 (2 mM) and the bivalent ligands 9 and 10 (1 mM) all promoted the formation of the MetJ–DNA complex (Table 1). The EC50 was found to be 120 ± 10 nM and 36 ± 6 nM in the presence of the unquaternised and quaternised monovalent control ligands 11 and 12 respectively. The unquaternised bivalent ligands 9a–e (1 mM) promoted complex formation up to about threefold more effectively than the corresponding monovalent analogue 11. Similarly, the quaternised bivalent ligands 10a and 10b promoted, respectively, complex formation 2.4- and 3.6-fold more effectively than the quaternised monovalent analogue 12. It is notable that the EC50 value of the ligand 10b was significantly lower than that of the (unstable9) co-repressor, SAM. For these bivalent analogues with rigid linkers, the nature of the linker did not have a profound effect on function: in each case, the EC50 values were comparable to those of the corresponding monovalent controls (either 11 or 12) and, consequently, it is unlikely that the linkers allow the binding groups to engage with the MetJ dimer in a bivalent sense.
Table 1.
Compound | EC50 (nM) | Fold-improvement over monovalent control (11 or 12) |
---|---|---|
SAM, 1 | 17.3 ± 0.3 | — |
11 | 120 ± 10 | — |
9a | 61 ± 3 | 2.0-fold |
9b | 37 ± 2 | 3.2-fold |
9c | 39 ± 1 | 3.1-fold |
9d | 75 ± 4 | 1.6-fold |
9e | 111 ± 5 | 1.1-fold |
12 | 36 ± 6 | — |
10a | 15 ± 5 | 2.4-fold |
10b | 10 ± 1 | 3.6-fold |
The concentration of the monovalent ligands 11 and 12 was 2 mM, and the concentration of the bivalent ligands 9 and 10 was 1 mM. The concentration of F-metC was 10 nM, and the final concentration of DMSO was 2%. EC50 values were determined based on an average of three titrations, fitted to a sigmoidal growth logistic model (see Supplementary data).
The ability of the unquaternised ligands 4, 15, and 18 (2 mM) to promote the formation of the MetJ–DNA complex was also investigated using fluorescence anisotropy (Table 2). In the presence of the monovalent ligand 4, the EC50 was 1000 ± 100 nM.11 Mixtures of the regioisomeric triazoles 15a and 15b promoted complex formation at 9- and 13-fold lower concentration than the monovalent ligand 4 respectively. In contrast, he activity of the bivalent ligands 18—which had shorter and more flexible linkers than the triazoles 15—depended critically on the length and nature of the linker; the compound with the shortest linker—18a in which n = 2—had similar activity to the monovalent derivative 4. However, as the linker length increased, the EC50 improved from 700 ± 50 nM (with 18a, n = 2) to 47 ± 1 nM (with 18d, n = 6). Unfortunately, derivatives with longer linkers (n = 9 and 12) were not soluble under the conditions of the assay. The clear dependence of the activity of the ligands 18a–d on the length of the linker is consistent with interaction with the MetJ dimer in a bivalent sense.
Table 2.
Compound | EC50 (nM) | Fold-improvement over monovalent control 4 |
---|---|---|
4 | 1000 ± 100 | — |
15a (n = 2) | 110 ± 6 | 9.1-fold |
15b (n = 4) | 76 ± 2 | 13-fold |
18a (n = 2) | 700 ± 50 | 1.4-fold |
18b (n = 3) | 320 ± 40 | 3.1-fold |
18c (n = 4) | 220 ± 20 | 4.5-fold |
18d (n = 6) | 47 ± 1 | 21-fold |
The concentration of the ligands was 2 mM and the concentration of F-metC was 10 nM. EC50 values were determined based on an average of three titrations, fitted to a sigmoidal growth logistic model (see Supplementary data).
The ability of the quaternised ligands 16 and 19 (2 mM) to promote the formation of the MetJ–DNA complex was also investigated using fluorescence anisotropy (Table 3). The effect of the linker length was less profound with the quaternised analogues, generating only modest improvements in affinity of up to 3.5-fold. The EC50 improved from 150 ± 10 nM with the quaternised monovalent analogue 5 to 42 ± 3 nM with the most active quaternised bivalent derivative 16b.
Table 3.
Compound | EC50 (nM) | Fold-improvement over monovalent control 5 |
---|---|---|
5 | 150 ± 10 | — |
16a (n = 2) | 50 ± 6 | 3.0-fold |
16b (n = 4) | 42 ± 3 | 3.6-fold |
19b (n = 3) | 108 ± 3 | 1.4-fold |
19d (n = 6) | 51 ± 2 | 2.9-fold |
The concentration of the ligands was 2 mM and the concentration of F-metC was 10 nM. EC50 values were determined based on an average of three titrations, fitted to a sigmoidal growth logistic model (see Supplementary data).
The results obtained in this study highlight the challenges associated with designing effective linkers in bivalent ligands. The activity of the bivalent ligands 9 and 10, which have rather rigid linkers, was disappointing because the ligand concentrations required to promote DNA–protein interaction were comparable to those of the corresponding monovalent controls (11 or 12). For effective interaction, a rigid linker must control both the spacing and the relative orientation of the pair of binding groups: with 9 and 10, it is likely that the linker design did not allow these ligands to engage with the MetJ dimer in a bivalent sense. However, in sharp contrast, the activity of the bivalent ligands, 18a–d (n = 2, 3, 4, or 6) did depend critically on the length of the flexible linker. The effective length of flexible linkers in bivalent ligands has been estimated using alternative approaches including molecular dynamics simulations16 and random walk models.17 The optimal separation of the terminal carbons in the linkers of effective bivalent ligands 18 was estimated to be ∼5.3 Å (Fig. 1). However, the most effective unquaternised bivalent ligand 18 had n = 6 (i.e., 18d), reinforcing that the effective lengths of flexible linkers are much shorter than their extended lengths.
Designing symmetrical ligands which interact effectively with their target in a bivalent sense is a difficult task, as observed previously,18–20 and highlighted again by this study. Here, modest affinity enhancements due to bivalency were only observed when flexible linkers were exploited: in the case of 18d, a 21-fold increase in activity was observed compared to its monovalent analogue, 4. We, therefore, find that simple, flexible linkers are a useful starting point in the design of bivalent ligands; once evidence of bivalent interaction with a target has been obtained with such ligands, optimisation of the linker may subsequently be possible. The development of strategies for designing effective linkers remains an important challenge, however, because of the large affinity enhancements that are possible with bivalent ligands in optimal cases.
Acknowledgments
We thank the Wellcome Trust, EPSRC and BBSRC for funding.
Footnotes
Supplementary data (supplementary schemes, experimental details for the preparation of ligands and fluorescence anisotropy experiments) associated with this article can be found, in the online version, at doi:10.1016/j.bmcl.2011.11.017.
Supplementary data
References and notes
- 1.(a) Kramer R.H., Karpen J.W. Nature. 1998;395:710. doi: 10.1038/27227. [DOI] [PubMed] [Google Scholar]; (b) Pickens J.C., Mitchell D.D., Liu J., Tan X., Zhang Z., Verlinde C.L., Hol W.G., Fan E. Chem. Biol. 2004;11:1205. doi: 10.1016/j.chembiol.2004.06.008. [DOI] [PubMed] [Google Scholar]; (c) LaFrate A.L., Carlson K.E., Katzenellenbogen J.A. Bioorg. Med. Chem. 2009;17:3528. doi: 10.1016/j.bmc.2009.04.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.(a) Murray C.W., Rees D.C. Nat. Chem. 2009;1:187. doi: 10.1038/nchem.217. [DOI] [PubMed] [Google Scholar]; (b) Hadjuk P.J., Greer J. Nat. Rev. Drug Disc. 2007;6:211. doi: 10.1038/nrd2220. [DOI] [PubMed] [Google Scholar]
- 3.Lavogina D., Enkvist E., Uri A. ChemMedChem. 2010;5:23. doi: 10.1002/cmdc.200900252. [DOI] [PubMed] [Google Scholar]
- 4.Rafferty J.B., Somers W.S., Saint-Girons I., Phillips S.E.V. Nature. 1989;341:705. doi: 10.1038/341705a0. [DOI] [PubMed] [Google Scholar]
- 5.Phillips S.E.V., Manfield I., Parsons I., Davidson B.E., Rafferty J.B., Somers W.S., Margarita D., Cohen G.N., Saint-Girons I., Stockley P.G. Nature. 1989;341:711. doi: 10.1038/341711a0. [DOI] [PubMed] [Google Scholar]
- 6.Parsons I.D., Persson B., Mekhalfia A., Blackburn G.M., Stockley P.G. Nucleic Acids Res. 1995;23:211. doi: 10.1093/nar/23.2.211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Cooper A., McAlpine A., Stockley P.G. FEBS Lett. 1994;348:41. doi: 10.1016/0014-5793(94)00579-6. [DOI] [PubMed] [Google Scholar]
- 8.Phillips S.E.V., Manfield I., Parsons I., Davidson B.E., Rafferty J.B., Somers W.S., Margarita D., Cohen G.N., Saint-Girons I., Stockley P.G. Nature (London) 1989;341:711. doi: 10.1038/341711a0. [DOI] [PubMed] [Google Scholar]
- 9.Hoffman J.L. Biochemistry. 1986;25:4444. doi: 10.1021/bi00363a041. [DOI] [PubMed] [Google Scholar]
- 10.Thompson M.J., Mekhalfia A., Jakeman D.L., Phillips S.E.V., Phillips K., Porter J., Blackburn G.M. Chem. Commun. 1996:791. [Google Scholar]
- 11.Joce C., Caryl J., Stockley P.G., Warriner S., Nelson A. Org. Biomol. Chem. 2009;7:635. doi: 10.1039/b816495a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Chakrabarti P., Dunitz J.D. Helv. Chim. Acta. 1982;65:1555. [Google Scholar]
- 13.Stockley P.G., Baron A.J., Wild C.M., Parsons I.D., Miller C.M., Holtham C.A.M., Baumberg S. Biosens. Bioelectron. 1998;13:637. doi: 10.1016/s0956-5663(98)00019-0. [DOI] [PubMed] [Google Scholar]
- 14.Phillips S.E.V. Curr. Opin. Struct. Biol. 1991;1:89. [Google Scholar]
- 15.Agard N.J., Prescher J.A., Bertozzi C.R. J. Am. Chem. Soc. 2004;126:15046. doi: 10.1021/ja044996f. [DOI] [PubMed] [Google Scholar]
- 16.Kitov P.I., Shimizu H., Homans S.W., Bundle D.R. J. Am. Chem. Soc. 2003;125:3284. doi: 10.1021/ja0258529. [DOI] [PubMed] [Google Scholar]
- 17.Knoll D., Hermans J. J. Biol. Chem. 1983;258:5710. [PubMed] [Google Scholar]
- 18.Zhang Y., Gilliam A., Maitra R., Damaj M.I., Tajuba J.M., Seltzman H.H., Thomas B.F. J. Med. Chem. 2000;53:7048. doi: 10.1021/jm1006676. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Lindhorst T.K., Bruegge K., Fuchs A., Sperling O. Beilstein J. Org. Chem. 2010;6:801–809. doi: 10.3762/bjoc.6.90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Bujotzek A., Shan M., Haag R., Weber M. J. Comput. Aided Mol. Des. 2011;25:253. doi: 10.1007/s10822-011-9417-1. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.