How Good Are State-of-the-Art Docking Tools in Predicting Ligand Binding Modes in Protein-Protein Interfaces?

Protein-protein interfaces (PPIs) are an important class of drug targets. We report on the first large-scale validation study on docking into PPIs. DrugScore-adapted AutoDock3 and Glide showed good success rates with a moderate drop-off compared to docking to "classical targets". An analysis of the binding energetics in a PPI allows identifying those interfaces that are amenable for docking. The results are important for deciding if structure-based design approaches can be applied to a particular PPI.

[1]  David S. Goodsell,et al.  Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function , 1998 .

[2]  Garrett M Morris,et al.  Using AutoDock for Ligand‐Receptor Docking , 2008, Current protocols in bioinformatics.

[3]  C. Chothia,et al.  The atomic structure of protein-protein recognition sites. , 1999, Journal of molecular biology.

[4]  William L. Jorgensen,et al.  Journal of Chemical Information and Modeling , 2005, J. Chem. Inf. Model..

[5]  Matthew P. Repasky,et al.  Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy. , 2004, Journal of medicinal chemistry.

[6]  Holger Gohlke,et al.  Modulating protein-protein interactions: from structural determinants of binding to druggability prediction to application. , 2012, Current pharmaceutical design.

[7]  W. L. Jorgensen The Many Roles of Computation in Drug Discovery , 2004, Science.

[8]  Jonathan C. Fuller,et al.  Predicting druggable binding sites at the protein-protein interface. , 2009, Drug discovery today.

[9]  Dennis M. Krüger,et al.  Comparison of Structure‐ and Ligand‐Based Virtual Screening Protocols Considering Hit List Complementarity and Enrichment Factors , 2010, ChemMedChem.

[10]  David S. Goodsell,et al.  A semiempirical free energy force field with charge‐based desolvation , 2007, J. Comput. Chem..

[11]  S. Jones,et al.  Principles of protein-protein interactions. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[12]  J. T. Metz,et al.  Ligand efficiency indices as guideposts for drug discovery. , 2005, Drug discovery today.

[13]  Thomas Stützle,et al.  Empirical Scoring Functions for Advanced Protein-Ligand Docking with PLANTS , 2009, J. Chem. Inf. Model..

[14]  G. Klebe,et al.  Approaches to the Description and Prediction of the Binding Affinity of Small-Molecule Ligands to Macromolecular Receptors , 2002 .

[15]  Arthur J. Olson,et al.  AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading , 2009, J. Comput. Chem..

[16]  Yongbo Hu,et al.  Comparison of Several Molecular Docking Programs: Pose Prediction and Virtual Screening Accuracy , 2009, J. Chem. Inf. Model..

[17]  Holger Gohlke,et al.  Elastic Potential Grids: Accurate and Efficient Representation of Intermolecular Interactions for Fully Flexible Docking , 2009, ChemMedChem.

[18]  Holger Gohlke,et al.  DrugScorePPI webserver: fast and accurate in silico alanine scanning for scoring protein–protein interactions , 2010, Nucleic Acids Res..

[19]  G. Klebe,et al.  Knowledge-based scoring function to predict protein-ligand interactions. , 2000, Journal of molecular biology.

[20]  Robin Taylor,et al.  A new test set for validating predictions of protein–ligand interaction , 2002, Proteins.

[21]  Holger Gohlke,et al.  Hot Spots and Transient Pockets: Predicting the Determinants of Small-Molecule Binding to a Protein-Protein Interface , 2012, J. Chem. Inf. Model..

[22]  Holger Gohlke,et al.  Targeting protein-protein interactions with small molecules: challenges and perspectives for computational binding epitope detection and ligand finding. , 2006, Current medicinal chemistry.

[23]  Christine Humblet,et al.  Investigation of MM-PBSA Rescoring of Docking Poses , 2008, J. Chem. Inf. Model..

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

[25]  Philippe Roche,et al.  Chemical and structural lessons from recent successes in protein-protein interaction inhibition (2P2I). , 2011, Current opinion in chemical biology.

[26]  Gerhard Klebe,et al.  Docking into knowledge-based potential fields: a comparative evaluation of DrugScore. , 2002, Journal of medicinal chemistry.

[27]  David S Goodsell,et al.  Computational docking of biomolecular complexes with AutoDock. , 2009, Cold Spring Harbor protocols.

[28]  David S. Goodsell,et al.  Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function , 1998, J. Comput. Chem..