fpocket: online tools for protein ensemble pocket detection and tracking

Computational small-molecule binding site detection has several important applications in the biomedical field. Notable interests are the identification of cavities for structure-based drug discovery or functional annotation of structures. fpocket is a small-molecule pocket detection program, relying on the geometric α-sphere theory. The fpocket web server allows: (i) candidate pocket detection—fpocket; (ii) pocket tracking during molecular dynamics, in order to provide insights into pocket dynamics—mdpocket; and (iii) a transposition of mdpocket to the combined analysis of homologous structures—hpocket. These complementary online tools allow to tackle various questions related to the identification and annotation of functional and allosteric sites, transient pockets and pocket preservation within evolution of structural families. The server and documentation are freely available at http://bioserv.rpbs.univ-paris-diderot.fr/fpocket.

[1]  Bingding Huang,et al.  MetaPocket: a meta approach to improve protein ligand binding site prediction. , 2009, Omics : a journal of integrative biology.

[2]  Wen-Hsiung Li,et al.  SplitPocket: identification of protein functional surfaces and characterization of their spatial patterns , 2009, Nucleic Acids Res..

[3]  V. Helms,et al.  Transient pockets on protein surfaces involved in protein-protein interaction. , 2007, Journal of medicinal chemistry.

[4]  Deok-Soo Kim,et al.  Pocket extraction on proteins via the Voronoi diagram of spheres. , 2008, Journal of molecular graphics & modelling.

[5]  Nagasuma Chandra,et al.  PocketDepth: a new depth based algorithm for identification of ligand binding sites in proteins. , 2008, Journal of structural biology.

[6]  Vassya Bankova,et al.  Natural products chemistry in the third millennium , 2007, Chemistry Central journal.

[7]  R. Abagyan,et al.  Pocketome via Comprehensive Identification and Classification of Ligand Binding Envelopes* , 2005, Molecular & Cellular Proteomics.

[8]  J. Skolnick,et al.  TM-align: a protein structure alignment algorithm based on the TM-score , 2005, Nucleic acids research.

[9]  Vincent Le Guilloux,et al.  Fpocket: An open source platform for ligand pocket detection , 2009, BMC Bioinformatics.

[10]  Wen-Hsiung Li,et al.  fPOP: footprinting functional pockets of proteins by comparative spatial patterns , 2009, Nucleic Acids Res..

[11]  B. Honig,et al.  On the nature of cavities on protein surfaces: Application to the identification of drug‐binding sites , 2006, Proteins.

[12]  D. Moras,et al.  Defining and characterizing protein surface using alpha shapes , 2009, Proteins.

[13]  J. Skolnick,et al.  What is the relationship between the global structures of apo and holo proteins? , 2007, Proteins.

[14]  K Schulten,et al.  VMD: visual molecular dynamics. , 1996, Journal of molecular graphics.

[15]  Homme W Hellinga,et al.  Ligand-induced conformational changes in a thermophilic ribose-binding protein , 2008, BMC Structural Biology.

[16]  G. Schneider,et al.  PocketPicker: analysis of ligand binding-sites with shape descriptors , 2007, Chemistry Central Journal.

[17]  C. Venkatachalam,et al.  LigandFit: a novel method for the shape-directed rapid docking of ligands to protein active sites. , 2003, Journal of molecular graphics & modelling.

[18]  H. Edelsbrunner,et al.  Anatomy of protein pockets and cavities: Measurement of binding site geometry and implications for ligand design , 1998, Protein science : a publication of the Protein Society.

[19]  T. N. Bhat,et al.  The Protein Data Bank , 2000, Nucleic Acids Res..

[20]  D. Suárez,et al.  Kinetic and binding effects in peptide substrate selectivity of matrix metalloproteinase‐2: Molecular dynamics and QM/MM calculations , 2010, Proteins.

[21]  D. Levitt,et al.  POCKET: a computer graphics method for identifying and displaying protein cavities and their surrounding amino acids. , 1992, Journal of molecular graphics.

[22]  A. Biegert,et al.  Sequence context-specific profiles for homology searching , 2009, Proceedings of the National Academy of Sciences.

[23]  Richard M. Jackson,et al.  Q-SiteFinder: an energy-based method for the prediction of protein-ligand binding sites , 2005, Bioinform..

[24]  Woody Sherman,et al.  Use of an Induced Fit Receptor Structure in Virtual Screening , 2006, Chemical biology & drug design.

[25]  Volkhard Helms,et al.  What induces pocket openings on protein surface patches involved in protein–protein interactions? , 2009, J. Comput. Aided Mol. Des..

[26]  M. Schroeder,et al.  LIGSITEcsc: predicting ligand binding sites using the Connolly surface and degree of conservation , 2006, BMC Structural Biology.

[27]  Martin Hessling,et al.  Dissection of the ATP-induced conformational cycle of the molecular chaperone Hsp90 , 2009, Nature Structural &Molecular Biology.

[28]  J. Skolnick,et al.  A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation , 2008, Proceedings of the National Academy of Sciences.

[29]  Pietro Cozzini,et al.  Structural plasticity and functional implications of internal cavities in distal mutants of type 1 non-symbiotic hemoglobin AHb1 from Arabidopsis thaliana. , 2009, The journal of physical chemistry. B.

[30]  Pieter F. W. Stouten,et al.  Fast prediction and visualization of protein binding pockets with PASS , 2000, J. Comput. Aided Mol. Des..

[31]  Jie Liang,et al.  CASTp: computed atlas of surface topography of proteins with structural and topographical mapping of functionally annotated residues , 2006, Nucleic Acids Res..

[32]  Michal Brylinski,et al.  FINDSITE: a combined evolution/structure-based approach to protein function prediction , 2009, Briefings Bioinform..

[33]  Pierre Tufféry,et al.  BIOINFORMATICS ORIGINAL PAPER , 2022 .

[34]  Mona Singh,et al.  Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence Conservation and 3D Structure , 2009, PLoS Comput. Biol..

[35]  R. Laskowski SURFNET: a program for visualizing molecular surfaces, cavities, and intermolecular interactions. , 1995, Journal of molecular graphics.

[36]  Patrice Koehl,et al.  The ASTRAL Compendium in 2004 , 2003, Nucleic Acids Res..