kinDOCK: a tool for comparative docking of protein kinase ligands

KinDOCK is a new web server for the analysis of ATP-binding sites of protein kinases. This characterization is based on the docking of ligands already co-crystallized with other protein kinases. A structural library of protein kinase–ligand complexes has been extracted from the Protein Data Bank (PDB). This library can provide both potential ligands and their putative binding orientation for a given protein kinase. After protein–protein structural superposition, the ligands are transferred from the template complexes to the target protein kinase. The resulting complexes are evaluated using the program SCORE to compute a theoretical affinity. They can be dynamically visualized to allow a rapid mapping of important steric clashes and potential substitutions relevant for specificity and affinity. These characteristics allow a quick characterization of protein kinase active sites including conformation changes potentially required to accommodate particular ligands. Additionally, promising pharmacophores can be identified in the focussed library. These features will help to rationalize or optimize virtual screening (VS) on larger chemical compound libraries. The server and its documentation are freely available at .

[1]  W Patrick Walters,et al.  CORES: an automated method for generating three-dimensional models of protein/ligand complexes. , 2004, Journal of medicinal chemistry.

[2]  Asim Khwaja,et al.  The Src-selective Kinase Inhibitor PP1 Also Inhibits Kit and Bcr-Abl Tyrosine Kinases* , 2003, The Journal of Biological Chemistry.

[3]  M. Cotten,et al.  Chemical Proteomic Analysis Reveals Alternative Modes of Action for Pyrido[2,3-d]pyrimidine Kinase Inhibitors* , 2004, Molecular & Cellular Proteomics.

[4]  L. Johnson,et al.  Protein Kinase Inhibitors: Insights into Drug Design from Structure , 2004, Science.

[5]  J. Zheng,et al.  Crystal structure of the catalytic subunit of cyclic adenosine monophosphate-dependent protein kinase. , 1991, Science.

[6]  S. Hanks,et al.  Protein kinase catalytic domain sequence database: identification of conserved features of primary structure and classification of family members. , 1991, Methods in enzymology.

[7]  A. Elcock,et al.  Rapid computational identification of the targets of protein kinase inhibitors. , 2005, Journal of medicinal chemistry.

[8]  Gilles Labesse,et al.  ViTO: tool for refinement of protein sequence-structure alignments , 2004, Bioinform..

[9]  D. Diller,et al.  Kinases, homology models, and high throughput docking. , 2003, Journal of medicinal chemistry.

[10]  T Honma,et al.  Crystallographic Approach to Identification of Cyclin-dependent Kinase 4 (CDK4)-specific Inhibitors by Using CDK4 Mimic CDK2 Protein* , 2001, The Journal of Biological Chemistry.

[11]  J. Irwin,et al.  Lead discovery using molecular docking. , 2002, Current opinion in chemical biology.

[12]  E. Scholar,et al.  Role of Tyrosine Kinase Inhibitors in Cancer Therapy , 2005, Journal of Pharmacology and Experimental Therapeutics.

[13]  G. Milne,et al.  Molecular modelling in drug design , 1989 .

[14]  Adrian H Elcock,et al.  Progress toward virtual screening for drug side effects , 2002, Proteins.

[15]  A. Sali,et al.  Protein Structure Prediction and Structural Genomics , 2001, Science.

[16]  Claudio N. Cavasotto,et al.  Protein flexibility in ligand docking and virtual screening to protein kinases. , 2004, Journal of molecular biology.

[17]  Luhua Lai,et al.  SCORE: A New Empirical Method for Estimating the Binding Affinity of a Protein-Ligand Complex , 1998 .

[18]  G. Klebe,et al.  Ligand-supported homology modelling of protein binding-sites using knowledge-based potentials. , 2003, Journal of molecular biology.

[19]  Qing Zhang,et al.  The RCSB Protein Data Bank: a redesigned query system and relational database based on the mmCIF schema , 2004, Nucleic Acids Res..

[20]  A. W. Schüttelkopf,et al.  PRODRG: a tool for high-throughput crystallography of protein-ligand complexes. , 2004, Acta crystallographica. Section D, Biological crystallography.