Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Exploring the sequence space for (tri-)peptide self-assembly to design and discover new hydrogels

Abstract

Peptides that self-assemble into nanostructures are of tremendous interest for biological, medical, photonic and nanotechnological applications. The enormous sequence space that is available from 20 amino acids probably harbours many interesting candidates, but it is currently not possible to predict supramolecular behaviour from sequence alone. Here, we demonstrate computational tools to screen for the aqueous self-assembly propensity in all of the 8,000 possible tripeptides and evaluate these by comparison with known examples. We applied filters to select for candidates that simultaneously optimize the apparently contradicting requirements of aggregation propensity and hydrophilicity, which resulted in a set of design rules for self-assembling sequences. A number of peptides were subsequently synthesized and characterized, including the first reported tripeptides that are able to form a hydrogel at neutral pH. These tools, which enable the peptide sequence space to be searched for supramolecular properties, enable minimalistic peptide nanotechnology to deliver on its promise.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Screening for self-assembling tripeptides.
Figure 2: From screening to design rules.
Figure 3: Characterization of selected tripeptides.

Similar content being viewed by others

References

  1. Zhao, X. et al. Molecular self-assembly and applications of designer peptide amphiphiles. Chem. Soc. Rev. 39, 3480–3498 (2010).

    Article  CAS  PubMed  Google Scholar 

  2. Zelzer, M. & Ulijn, R. V. Next-generation peptide nanomaterials: molecular networks, interfaces and supramolecular functionality. Chem. Soc. Rev. 39, 3351–3357 (2010).

    Article  CAS  PubMed  Google Scholar 

  3. Reches, M. & Gazit, E. Casting metal nanowires within discrete self-assembled peptide nanotubes. Science 300, 625–627 (2003).

    Article  CAS  PubMed  Google Scholar 

  4. Ghadiri, M. R., Granja, J. R., Milligan, R. A., McRee, D. E. & Khazanovich, N. Self-assembling organic nanotubes based on a cyclic peptide architecture. Nature 366, 324–327 (1993).

    Article  CAS  PubMed  Google Scholar 

  5. Zhang, S., Holmes, T., Lockshin, C. & Rich, A. Spontaneous assembly of a self-complementary oligopeptide to form a stable macroscopic membrane. Proc. Natl Acad. Sci. USA 90, 3334–3338 (1993).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Reches, M. & Gazit, E. Formation of closed-cage nanostructures by self-assembly of aromatic dipeptides. Nano Lett. 4, 581–585 (2004).

    Article  CAS  Google Scholar 

  7. Tamamis, P. et al. Self-assembly of phenylalanine oligopeptides: insights from experiments and simulations. Biophys. J. 96, 5020–5029 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Moitra, P., Kumar, K., Kondaiah, P. & Bhattacharya, S. Efficacious anticancer drug delivery mediated by a pH-sensitive self-assembly of a conserved tripeptide derived from tyrosine kinase NGF receptor. Angew. Chem. Int. Ed. 53, 1113–1117 (2014).

    Article  CAS  Google Scholar 

  9. Marchesan, S., Easton, C. D., Kushkaki, F., Waddington, L. & Hartley, P. G. Tripeptide self-assembled hydrogels: unexpected twists of chirality. Chem. Commun. 48, 2195–2197 (2012).

    Article  CAS  Google Scholar 

  10. Marchesan, S. et al. Unzipping the role of chirality in nanoscale self-assembly of tripeptide hydrogels. Nanoscale 4, 6752–6760 (2012).

    Article  CAS  PubMed  Google Scholar 

  11. Marchesan, S. et al. Chirality effects at each amino acid position on tripeptide self-assembly into hydrogel biomaterials. Nanoscale 6, 5172–5180 (2014).

    Article  CAS  PubMed  Google Scholar 

  12. James, J. & Mandal, A. B. The aggregation of Tyr-Phe dipeptide and Val-Tyr-Val tripeptide in aqueous solution and in the presence of SDS and PEO–PPO–PEO triblock copolymer: fluorescence spectroscopic studies. J. Colloid Interface Sci. 360, 600–605 (2011).

    Article  CAS  PubMed  Google Scholar 

  13. Reches, M., Porat, Y. & Gazit, E. Amyloid fibril formation by pentapeptide and tetrapeptide fragments of human calcitonin. J. Biol. Chem. 277, 35475–35480 (2002).

    Article  CAS  PubMed  Google Scholar 

  14. Hauser, C. A. E. et al. Natural tri- to hexapeptides self-assemble in water to amyloid beta-type fiber aggregates by unexpected alpha-helical intermediate structures. Proc. Natl Acad. Sci. USA 108, 1361–1366 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Lakshmanan, A. & Hauser, C. A. E. Ultrasmall peptides self-assemble into diverse nanostructures: morphological evaluation and potential implications. Int. J. Mol. Sci. 12, 5736–5746 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Lakshmanan, A. et al. Aliphatic peptides show similar self-assembly to amyloid core sequences, challenging the importance of aromatic interactions in amyloidosis. Proc. Natl Acad. Sci. USA 110, 519–524 (2013).

    Article  CAS  PubMed  Google Scholar 

  17. Cao, M., Cao, C., Zhang, L., Xia, D. & Xu, H. Tuning of peptide assembly through force balance adjustment. J. Colloid Interface Sci. 407, 287–295 (2013).

    Article  CAS  PubMed  Google Scholar 

  18. Smadbeck, J. et al. De novo design and experimental characterization of ultrashort self-associating peptides. PLoS Comput. Biol. 10, e1003718 (2014).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Das, A. K., Bose, P. P., Drew, M. G. B. & Banerjee, A. The role of protecting groups in the formation of organogels through a nano-fibrillar network formed by self-assembling terminally protected tripeptides. Tetrahedron 63, 7432–7442 (2007).

    Article  CAS  Google Scholar 

  20. Subbalakshmi, C., Manorama, S. V. & Nagaraj, R. Self-assembly of short peptides composed of only aliphatic amino acids and a combination of aromatic and aliphatic amino acids. J. Pept. Sci. 18, 283–292 (2012).

    Article  CAS  PubMed  Google Scholar 

  21. Fleming, S. & Ulijn, R. V. Design of nanostructures based on aromatic peptide amphiphiles. Chem. Soc. Rev. 43, 8150–8177 (2014).

    Article  CAS  PubMed  Google Scholar 

  22. Zhang, Y., Gu, H., Yang, Z. & Xu, B. Supramolecular hydrogels respond to ligand–receptor interaction. J. Am. Chem. Soc. 125, 13680–13681 (2003).

    Article  CAS  PubMed  Google Scholar 

  23. Yang, Z., Liang, G., Ma, M., Gao, Y. & Xu, B. Conjugates of naphthalene and dipeptides produce molecular hydrogelators with high efficiency of hydrogelation and superhelical nanofibers. J. Mater. Chem. 17, 850–854 (2007).

    Article  CAS  Google Scholar 

  24. Chen, L., Revel, S., Morris, K. C., Serpell, L. & Adams, D. J. Effect of molecular structure on the properties of naphthalene–dipeptide hydrogelators. Langmuir 26, 13466–13471 (2010).

    Article  CAS  PubMed  Google Scholar 

  25. DeGrado, W. F. & Lear, J. D. Induction of peptide conformation at apolar water interfaces. 1. A study with model peptides of defined hydrophobic periodicity. J. Am. Chem. Soc. 107, 7684–7689 (1985).

    Article  CAS  Google Scholar 

  26. DeGrado, W. F. Design of peptides and proteins. Adv. Protein Chem. 39, 51–124 (1988).

    Article  CAS  PubMed  Google Scholar 

  27. McCullagh, M., Prytkova, T., Tonzani, S., Winter, N. D. & Schatz, G. C. Modeling self-assembly processes driven by nonbonded interactions in soft materials. J. Phys. Chem. B 112, 10388–10398 (2008).

    Article  CAS  PubMed  Google Scholar 

  28. Lee, O-S., Cho, V. & Schatz, G. C. Modeling the self-assembly of peptide amphiphiles into fibers using coarse-grained molecular dynamics. Nano Lett. 12, 4907–4913 (2012).

    Article  CAS  PubMed  Google Scholar 

  29. Frederix, P. W. J. M., Ulijn, R. V., Hunt, N. T. & Tuttle, T. Virtual screening for dipeptide aggregation: toward predictive tools for peptide self-assembly. J. Phys. Chem. Lett. 2, 2380–2384 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Wu, C., Lei, H. & Duan, Y. Formation of partially ordered oligomers of amyloidogenic hexapeptide (NFGAIL) in aqueous solution observed in molecular dynamics simulations. Biophys. J. 87, 3000–3009 (2004).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Guo, C., Luo, Y., Zhou, R. & Wei, G. Probing the self-assembly mechanism of diphenylalanine-based peptide nanovesicles and nanotubes. ACS Nano 6, 3907–3918 (2012).

    Article  CAS  PubMed  Google Scholar 

  32. Guo, C., Luo, Y., Zhou, R. & Wei, G. Triphenylalanine peptides self-assemble into nanospheres and nanorods that are different from the nanovesicles and nanotubes formed by diphenylalanine peptides. Nanoscale 6, 2800–2811 (2014).

    Article  CAS  PubMed  Google Scholar 

  33. Thirumalai, D., Klimov, D. & Dima, R. Emerging ideas on the molecular basis of protein and peptide aggregation. Curr. Opin. Struct. Biol. 13, 146–159 (2003).

    Article  CAS  PubMed  Google Scholar 

  34. Monticelli, L. et al. The MARTINI coarse-grained force field: extension to proteins. J. Chem. Theory Comput. 4, 819–834 (2008).

    Article  CAS  PubMed  Google Scholar 

  35. Singh, G. & Tieleman, D. P. Using the Wimley–White hydrophobicity scale as a direct quantitative test of force fields: the MARTINI coarse-grained model. J. Chem. Theory Comput. 7, 2316–2324 (2011).

    Article  CAS  PubMed  Google Scholar 

  36. De Jong, D. H., Periole, X. & Marrink, S. J. Dimerization of amino acid side chains: lessons from the comparison of different force fields. J. Chem. Theory Comput. 8, 1003–1014 (2012).

    Article  CAS  PubMed  Google Scholar 

  37. De Jong, D. H. et al. Improved parameters for the Martini coarse-grained protein force field. J. Chem. Theory Comput. 9, 687–697 (2013).

    Article  CAS  PubMed  Google Scholar 

  38. Zaccai, N. R. et al. A de novo peptide hexamer with a mutable channel. Nature Chem. Biol. 7, 935–941 (2011).

    Article  CAS  Google Scholar 

  39. White, S. H. & Wimley, W. C. Hydrophobic interactions of peptides with membrane interfaces. Biochim. Biophys. Acta 1376, 339–352 (1998).

    Article  CAS  PubMed  Google Scholar 

  40. Wimley, W. C., Creamer, T. P. & White, S. H. Solvation energies of amino acid side chains and backbone in a family of host–guest pentapeptides. Biochemistry 35, 5109–5124 (1996).

    Article  CAS  PubMed  Google Scholar 

  41. Chiti, F., Stefani, M., Taddei, N., Ramponi, G. & Dobson, C. M. Rationalization of the effects of mutations on peptide andprotein aggregation rates. Nature 424, 805–808 (2003).

    Article  CAS  PubMed  Google Scholar 

  42. Pawar, A. P. et al. Prediction of ‘aggregation-prone’ and ‘aggregation-susceptible’ regions in proteins associated with neurodegenerative diseases. J. Mol. Biol. 350, 379–392 (2005).

    Article  CAS  PubMed  Google Scholar 

  43. West, M. W. et al. De novo amyloid proteins from designed combinatorial libraries. Proc. Natl Acad. Sci. USA 96, 11211–11216 (1999).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Ash, W. L., Zlomislic, M. R., Oloo, E. O. & Tieleman, D. P. Computer simulations of membrane proteins. Biochim. Biophys. Acta 1666, 158–189 (2004).

    Article  CAS  PubMed  Google Scholar 

  45. Yesylevskyy, S. O., Schäfer, L. V., Sengupta, D. & Marrink, S. J. Polarizable water model for the coarse-grained MARTINI force field. PLoS Comput. Biol. 6, e1000810 (2010).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  46. Seo, M., Rauscher, S., Pomès, R. & Tieleman, D. P. Improving internal peptide dynamics in the coarse-grained MARTINI model: toward large-scale simulations of amyloid- and elastin-like peptides. J. Chem. Theory Comput. 8, 1774–1785 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Lyon, R. P. & Atkins, W. M. Self-assembly and gelation of oxidized glutathione in organic solvents. J. Am. Chem. Soc. 123, 4408–4413 (2001).

    Article  CAS  PubMed  Google Scholar 

  48. Cohen, Y., Avram, L. & Frish, L. Diffusion NMR spectroscopy in supramolecular and combinatorial chemistry: an old parameter—new insights. Angew. Chem. Int. Ed. 44, 520–554 (2005).

    Article  CAS  Google Scholar 

  49. Pouget, E. et al. Elucidation of the self-assembly pathway of lanreotide octapeptide into beta-sheet nanotubes: role of two stable intermediates. J. Am. Chem. Soc. 132, 4230–4241 (2010).

    Article  CAS  PubMed  Google Scholar 

  50. Barth, A. & Zscherp, C. What vibrations tell about proteins. Q. Rev. Biophys. 35, 369–430 (2002).

    Article  CAS  PubMed  Google Scholar 

  51. Fleming, S. et al. Assessing the utility of infrared spectroscopy as a structural diagnostic tool for β-sheets in self-assembling aromatic peptide amphiphiles. Langmuir 29, 9510–9515 (2013).

    Article  CAS  PubMed  Google Scholar 

  52. Fuhrmans, M. & Marrink, S-J. A tool for the morphological analysis of mixtures of lipids and water in computer simulations. J. Mol. Model. 17, 1755–1766 (2011).

    Article  PubMed  Google Scholar 

  53. Georgoulia, P. S. & Glykos, N. M. On the foldability of tryptophan-containing tetra- and pentapeptides: an exhaustive molecular dynamics study. J. Phys. Chem. B 117, 5522–5532 (2013).

    Article  CAS  PubMed  Google Scholar 

  54. Humphrey, W., Dalke, A. & Schulten, K. VMD: visual molecular dynamics. J. Mol. Graph. 14, 33–38 (1996).

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors thank C. Irving for assistance with DOSY NMR spectroscopy and M. Mullin (Glasgow University) for help with TEM. P.W.J.M.F., N.T.H. and R.V.U. acknowledge financial support from the European Research Council (no. 334949: SPRITES-H2). R.V.U. acknowledges funding from the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013)/EMERgE/ERC grant agreement no. 258775. G.G.S. acknowledges financial support by Macphie of Glenbervie. C.G.P. acknowledges financial support by Linn Products. Y.M.A. acknowledges financial support by FP7 Marie Curie Actions of the European Commission, via the initial training network ReAd (no. 289723). Results were obtained using the EPSRC-funded ARCHIE-WeSt High Performance Computer (www.archie-west.ac.uk; EPSRC grant no. EP/K000586/1).

Author information

Authors and Affiliations

Authors

Contributions

P.W.J.M.F. was responsible for computational work and infrared spectroscopy. Y.M.A., D.K., C.G.P. and G.G.S. performed peptide synthesis and characterization. N.J., Y.M.A. and G.G.S. performed TEM. C.G.P. performed DOSY NMR spectroscopy. N.J. and D.K. performed DLS. N.T.H., R.V.U. and T.T. contributed to the experimental design. All authors commented on the manuscript. P.W.J.M.F., R.V.U. and T.T. wrote the paper.

Corresponding authors

Correspondence to Rein V. Ulijn or Tell Tuttle.

Ethics declarations

Competing interests

The University of Strathclyde has filed a patent application (UK Patent application no. 1417885.9) on technology related to the processes described in this article. Several authors are listed as inventors on the patent application.

Supplementary information

Supplementary information

Supplementary information (PDF 21900 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Frederix, P., Scott, G., Abul-Haija, Y. et al. Exploring the sequence space for (tri-)peptide self-assembly to design and discover new hydrogels. Nature Chem 7, 30–37 (2015). https://doi.org/10.1038/nchem.2122

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nchem.2122

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing