sc-PDB: a 3D-database of ligandable binding sites—10 years on

The sc-PDB database (available at http://bioinfo-pharma.u-strasbg.fr/scPDB/) is a comprehensive and up-to-date selection of ligandable binding sites of the Protein Data Bank. Sites are defined from complexes between a protein and a pharmacological ligand. The database provides the all-atom description of the protein, its ligand, their binding site and their binding mode. Currently, the sc-PDB archive registers 9283 binding sites from 3678 unique proteins and 5608 unique ligands. The sc-PDB database was publicly launched in 2004 with the aim of providing structure files suitable for computational approaches to drug design, such as docking. During the last 10 years we have improved and standardized the processes for (i) identifying binding sites, (ii) correcting structures, (iii) annotating protein function and ligand properties and (iv) characterizing their binding mode. This paper presents the latest enhancements in the database, specifically pertaining to the representation of molecular interaction and to the similarity between ligand/protein binding patterns. The new website puts emphasis in pictorial analysis of data.

[1]  W. L. Jorgensen,et al.  Energetics of displacing water molecules from protein binding sites: consequences for ligand optimization. , 2009, Journal of the American Chemical Society.

[2]  Ruben Abagyan,et al.  Pocketome: an encyclopedia of small-molecule binding sites in 4D , 2011, Nucleic Acids Res..

[3]  Themis Lazaridis,et al.  Water at biomolecular binding interfaces. , 2007, Physical chemistry chemical physics : PCCP.

[4]  T. N. Bhat,et al.  The PDB data uniformity project , 2001, Nucleic Acids Res..

[5]  J. Peters Polypharmacology - foe or friend? , 2013, Journal of medicinal chemistry.

[6]  Alfonso Valencia,et al.  FireDB: a compendium of biological and pharmacologically relevant ligands , 2013, Nucleic Acids Res..

[7]  Haruki Nakamura,et al.  The worldwide Protein Data Bank (wwPDB): ensuring a single, uniform archive of PDB data , 2006, Nucleic Acids Res..

[8]  María Martín,et al.  Activities at the Universal Protein Resource (UniProt) , 2013, Nucleic Acids Res..

[9]  Didier Rognan,et al.  sc-PDB: a database for identifying variations and multiplicity of 'druggable' binding sites in proteins , 2011, Bioinform..

[10]  Matthias Rarey,et al.  Protoss: a holistic approach to predict tautomers and protonation states in protein-ligand complexes , 2014, Journal of Cheminformatics.

[11]  J. Ladbury Just add water! The effect of water on the specificity of protein-ligand binding sites and its potential application to drug design. , 1996, Chemistry & biology.

[12]  Jan M. Kriegl,et al.  Form follows function: Shape analysis of protein cavities for receptor‐based drug design , 2009, Proteomics.

[13]  Rutger H A Folmer,et al.  Fragment screening to predict druggability (ligandability) and lead discovery success. , 2011, Drug discovery today.

[14]  Didier Rognan,et al.  Comparison and Druggability Prediction of Protein-Ligand Binding Sites from Pharmacophore-Annotated Cavity Shapes , 2012, J. Chem. Inf. Model..

[15]  Didier Rognan,et al.  Encoding Protein-Ligand Interaction Patterns in Fingerprints and Graphs , 2013, J. Chem. Inf. Model..

[16]  Brian K. Shoichet,et al.  Roles for Ordered and Bulk Solvent in Ligand Recognition and Docking in Two Related Cavities , 2013, PloS one.

[17]  Didier Rognan,et al.  sc-PDB: an Annotated Database of Druggable Binding Sites from the Protein Data Bank , 2006, J. Chem. Inf. Model..

[18]  A. Hopkins,et al.  The druggable genome , 2002, Nature Reviews Drug Discovery.

[19]  Michael J Hartshorn,et al.  AstexViewer: a visualisation aid for structure-based drug design. , 2002, Journal of computer-aided molecular design.

[20]  Jonathan Weiss,et al.  Development of a Rule-Based Method for the Assessment of Protein Druggability , 2012, J. Chem. Inf. Model..

[21]  Motonori Ota,et al.  PSCDB: a database for protein structural change upon ligand binding , 2011, Nucleic Acids Res..

[22]  Sameer Velankar,et al.  PDBe: Protein Data Bank in Europe , 2011, Nucleic Acids Res..

[23]  Stefan Schmitt,et al.  DrugPred: A Structure-Based Approach To Predict Protein Druggability Developed Using an Extensive Nonredundant Data Set , 2011, J. Chem. Inf. Model..

[24]  Sameer Velankar,et al.  PDBe: Protein Data Bank in Europe , 2009, Nucleic Acids Res..

[25]  Michael J. Hartshorn,et al.  AstexViewerTM †: a visualisation aid for structure-based drug design , 2002, J. Comput. Aided Mol. Des..

[26]  J. Bajorath,et al.  Polypharmacology: challenges and opportunities in drug discovery. , 2014, Journal of medicinal chemistry.

[27]  J. Bajorath,et al.  Quo vadis, virtual screening? A comprehensive survey of prospective applications. , 2010, Journal of medicinal chemistry.