PepComposer: computational design of peptides binding to a given protein surface

There is a wide interest in designing peptides able to bind to a specific region of a protein with the aim of interfering with a known interaction or as starting point for the design of inhibitors. Here we describe PepComposer, a new pipeline for the computational design of peptides binding to a given protein surface. PepComposer only requires the target protein structure and an approximate definition of the binding site as input. We first retrieve a set of peptide backbone scaffolds from monomeric proteins that harbor the same backbone arrangement as the binding site of the protein of interest. Next, we design optimal sequences for the identified peptide scaffolds. The method is fully automatic and available as a web server at http://biocomputing.it/pepcomposer/webserver.

[1]  François Stricher,et al.  PepX: a structural database of non-redundant protein–peptide complexes , 2009, Nucleic Acids Res..

[2]  Sergey Lyskov,et al.  PyRosetta: a script-based interface for implementing molecular modeling algorithms using Rosetta , 2010, Bioinform..

[3]  Jiong Yang,et al.  CLUSEQ: efficient and effective sequence clustering , 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).

[4]  Gregory A Caputo,et al.  Supporting Online Material for Computational Design of Peptides That Target Transmembrane Helices , 2007 .

[5]  P. Bradley,et al.  Toward High-Resolution de Novo Structure Prediction for Small Proteins , 2005, Science.

[6]  J. Anglister,et al.  Peptides in the treatment of AIDS. , 2009, Current opinion in structural biology.

[7]  Nir London,et al.  The structural basis of peptide-protein binding strategies. , 2010, Structure.

[8]  Christopher L. McClendon,et al.  Reaching for high-hanging fruit in drug discovery at protein–protein interfaces , 2007, Nature.

[9]  Anna Tramontano,et al.  Cancer-Selective Targeting of the NF-κB Survival Pathway with GADD45β/MKK7 Inhibitors , 2014, Cancer cell.

[10]  L. Serrano,et al.  Protein-peptide interactions adopt the same structural motifs as monomeric protein folds. , 2009, Structure.

[11]  Philip Bradley,et al.  Structure‐based prediction of protein–peptide specificity in rosetta , 2010, Proteins.

[12]  Aric Hagberg,et al.  Exploring Network Structure, Dynamics, and Function using NetworkX , 2008, Proceedings of the Python in Science Conference.

[13]  Jack Snoeyink,et al.  Scientific benchmarks for guiding macromolecular energy function improvement. , 2013, Methods in enzymology.

[14]  H. Nar,et al.  Ligand bioactive conformation plays a critical role in the design of drugs that target the hepatitis C virus NS3 protease. , 2014, Journal of medicinal chemistry.

[15]  Björn Windshügel,et al.  LEADS-PEP: A Benchmark Data Set for Assessment of Peptide Docking Performance , 2016, J. Chem. Inf. Model..

[16]  Haim J. Wolfson,et al.  Geometric hashing: an overview , 1997 .

[17]  Emiko Fire,et al.  The MCL-1 BH3 Helix is an Exclusive MCL-1 inhibitor and Apoptosis Sensitizer , 2010, Nature chemical biology.

[18]  R. Bartenschlager,et al.  Determinants of substrate specificity in the NS3 serine proteinase of the hepatitis C virus. , 1997, Virology.

[19]  Leszek Gasieniec,et al.  Proceedings of the eighteenth annual ACM-SIAM symposium on discrete algorithms , 2007, SODA 2007.

[20]  Dan L. Sackett,et al.  Protein-protein interactions: making drug design second nature. , 2009, Nature chemistry.

[21]  Gevorg Grigoryan,et al.  Design of protein-interaction specificity affords selective bZIP-binding peptides , 2009, Nature.

[22]  M. Murcko,et al.  Crystal Structure of the Hepatitis C Virus NS3 Protease Domain Complexed with a Synthetic NS4A Cofactor Peptide , 1996, Cell.

[23]  Burak Erman,et al.  VitAL: Viterbi Algorithm for de novo Peptide Design , 2010, PloS one.

[24]  Joost Schymkowitz,et al.  Computational design of peptide ligands. , 2011, Trends in biotechnology.

[25]  Jens Meiler,et al.  ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules. , 2011, Methods in enzymology.

[26]  Ming Zhang,et al.  Comparing sequences without using alignments: application to HIV/SIV subtyping , 2007, BMC Bioinformatics.

[27]  H. Wolfson,et al.  Efficient detection of three-dimensional structural motifs in biological macromolecules by computer vision techniques. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[28]  Raymond E. Moellering,et al.  Direct inhibition of the NOTCH transcription factor complex , 2010, Nature.

[29]  Nir London,et al.  Rosetta FlexPepDock ab-initio: Simultaneous Folding, Docking and Refinement of Peptides onto Their Receptors , 2011, PloS one.

[30]  Stefan Wallin,et al.  Exploring Protein-Peptide Binding Specificity through Computational Peptide Screening , 2013, PLoS Comput. Biol..

[31]  D. Lamarre,et al.  Peptide-based inhibitors of the hepatitis C virus serine protease. , 1998, Bioorganic & medicinal chemistry letters.

[32]  Kotaro Terada,et al.  In silico panning for a non-competitive peptide inhibitor , 2007, BMC Bioinformatics.

[33]  P. Watt,et al.  Screening for peptide drugs from the natural repertoire of biodiverse protein folds , 2006, Nature Biotechnology.

[34]  François Stricher,et al.  The FoldX web server: an online force field , 2005, Nucleic Acids Res..

[35]  R. Glockshuber,et al.  Infinite kinetic stability against dissociation of supramolecular protein complexes through donor strand complementation. , 2008, Structure.

[36]  Gajendra P. S. Raghava,et al.  SATPdb: a database of structurally annotated therapeutic peptides , 2015, Nucleic Acids Res..

[37]  Baldomero Oliva,et al.  Knowledge-based modeling of peptides at protein interfaces: PiPreD , 2015, Bioinform..

[38]  Victor Neduva,et al.  Peptides mediating interaction networks: new leads at last. , 2006, Current opinion in biotechnology.

[39]  Anne Jacobson Nanotechnology meets marine biology , 2002, Computing in Science & Engineering.

[40]  David Baker,et al.  Macromolecular modeling with rosetta. , 2008, Annual review of biochemistry.

[41]  G. Crooks,et al.  WebLogo: a sequence logo generator. , 2004, Genome research.

[42]  T. Gibson,et al.  Systematic Discovery of New Recognition Peptides Mediating Protein Interaction Networks , 2005, PLoS biology.

[43]  A Tramontano,et al.  Molecular model of the specificity pocket of the hepatitis C virus protease: implications for substrate recognition. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[44]  Jack Snoeyink,et al.  Almost-Delaunay simplices: Robust neighbor relations for imprecise 3D points using CGAL , 2007, Comput. Geom..