Abstract
The blind identification of candidate patches of interaction on the protein surface is a difficult task that can hardly be accomplished without a heuristic or the use of simplified representations to speed up the search. The PEP-SiteFinder protocol performs a systematic blind search on the protein surface using a rigid docking procedure applied to a limited set of peptide suboptimal conformations expected to approximate satisfactorily the conformation of the peptide in interaction. All steps rely on a coarse-grained representation of the protein and the peptide. While simple, such a protocol can help to infer useful information, assuming a critical analysis of the results. Moreover, such a protocol can be extended to a semi-flexible protocol where the suboptimal conformations are directly folded in the vicinity of the receptor.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Vlieghe P, Lisowski V, Martinez J et al (2010) Synthetic therapeutic peptides: science and market. Drug Discov Today 15(1-2):40–56
Zambrowicz A, Timmer M, Polanowski A et al (2013) Manufacturing of peptides exhibiting biological activity. Amino Acids 44(2):315–320
Kaspar AA, Reichert JM (2013) Future directions for peptide therapeutics development. Drug Discov Today 18(17-18):807–817
Hancock RE, Sahl HG (2006) Antimicrobial and host-defense peptides as new anti-infective therapeutic strategies. Nat Biotechnol 24(12):1551–1557
Vetter I, Davis JL, Rash LD et al (2011) Venomics: a new paradigm for natural products-based drug discovery. Amino Acids 40(1):15–28
Caboche S, Pupin M, Leclère V et al (2008) NORINE: a database of nonribosomal peptides. Nucleic Acids Res 36(Database issue):D326–D331
Dietrich U, Dürr R, Koch J (2013) Peptides as drugs: from screening to application. Curr Pharm Biotechnol 14(5):501–512
Fosgerau K, Hoffmann T (2015) Peptide therapeutics: current status and future directions. Drug Discov Today 20(1):122–128
London N, Movshovitz-Attias D, Schueler-Furman O (2010) The structural basis of peptide-protein binding strategies. Structure 18(2):188–199
Berman HM, Westbrook J, Feng Z et al (2000) The Protein Data Bank. Nucleic Acids Res 28(1):235–242
Ma B, Kumar S, Tsai CJ et al (1999) Folding funnels and binding mechanisms. Protein Eng 12(9):713–720
Boehr DD, Nussinov R, Wright PE (2009) The role of dynamic conformational ensembles in biomolecular recognition. Nat Chem Biol 5(11):789–796
Changeux JP, Edelstein S (2011) Conformational selection or induced fit 50 years of debate resolved. F1000 Biol Rep 3:19
Sugase K, Dyson HJ, Wright PE (2007) Mechanism of coupled folding and binding of an intrinsically disordered protein. Nature 447(7147):1021–1025
Csermely P, Palotai R, Nussinov R (2010) Induced fit, conformational selection and independent dynamic segments: an extended view of binding events. Trends Biochem Sci 35(10):539–546
Bachmann A, Wildemann D, Praetorius F et al (2011) Mapping backbone and side-chain interactions in the transition state of a coupled protein folding and binding reaction. Proc Natl Acad Sci U S A 108(10):3952–3957
Maupetit J, Derreumaux P, Tufféry P (2010) A fast method for large-scale de novo peptide and miniprotein structure prediction. J Comput Chem 31(4):726–738
Shen Y, Maupetit J, Derreumaux P et al (2014) Improved PEP-FOLD approach for peptide and miniprotein structure prediction. J Chem Theory Comput 10(10):4745–4758
Orengo CA, Michie AD, Jones S et al (1997) CATH—a hierarchic classification of protein domain structures. Structure 5(8):1093–1108
Guyon F, Tufféry P (2014) Fast protein fragment similarity scoring using a Binet-Cauchy kernel. Bioinformatics 30(6):784–791
Fiorucci S, Zacharias M (2010) Binding site prediction and improved scoring during flexible protein-protein docking with ATTRACT. Proteins 78:3131–3139
Saladin A, Fiorucci S, Poulain P et al (2009) PTools: an opensource molecular docking library. BMC Struct Biol 9:27
Padmanabhan B, Tong KI, Ohta T et al (2006) Structural basis for defects of Keap1 activity provoked by its point mutations in lung cancer. Mol Cell 21(5):689–700
Xu H, Fairman JW, Wijerathna SR et al (2008) The structural basis for peptidomimetic inhibition of eukaryotic ribonucleotide reductase: a conformationally flexible pharmacophore. J Med Chem 51(15):4653–4659
Lamiable A, Thévenet P, Rey J et al (2016) PEP-FOLD3: faster de novo structure prediction for linear peptides in solution and in complex. Nucleic Acids Res 44(W1):W449–W454. doi:10.1093/nar/gkw329
Acknowledgments
This work has been supported by the French IA bioinformatics BipBip grant (ANR-10-BINF-0003), French Institute for Bioinformatics (IFB) (ANR-11-INBS-0013), and INSERM UMR-S 973 recurrent funding.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media LLC
About this protocol
Cite this protocol
Lamiable, A., Thévenet, P., Eustache, S., Saladin, A., Moroy, G., Tuffery, P. (2017). Peptide Suboptimal Conformation Sampling for the Prediction of Protein-Peptide Interactions. In: Schueler-Furman, O., London, N. (eds) Modeling Peptide-Protein Interactions. Methods in Molecular Biology, vol 1561. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6798-8_3
Download citation
DOI: https://doi.org/10.1007/978-1-4939-6798-8_3
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-6796-4
Online ISBN: 978-1-4939-6798-8
eBook Packages: Springer Protocols