Flexible ligand docking using conformational ensembles

Molecular docking algorithms suggest possible structures for molecular complexes. They are used to model biological function and to discover potential ligands. A present challenge for docking algorithms is the treatment of molecular flexibility. Here, the rigid body program, DOCK, is modified to allow it to rapidly fit multiple conformations of ligands. Conformations of a given molecule are pre‐calculated in the same frame of reference, so that each conformer shares a common rigid fragment with all other conformations. The ligand conformers are then docked together, as an ensemble, into a receptor binding site. This takes advantage of the redundancy present in differing conformers of the same molecule. The algorithm was tested using three organic ligand protein systems and two protein‐protein systems. Both the bound and unbound conformations of the receptors were used. The ligand ensemble method found conformations that resembled those determined in X‐ray crystal structures (RMS values typically less than 1.5 Å). To test the method's usefulness for inhibitor discovery, multi‐compound and multi‐conformer databases were screened for compounds known to bind to dihydrofolate reductase and compounds known to bind to thymidylate synthase. In both cases, known inhibitors and substrates were identified in conformations resembling those observed experimentally. The ligand ensemble method was 100‐fold faster than docking a single conformation at a time and was able to screen a database of over 34 million conformations from 117,000 molecules in one to four CPU days on a workstation.

[1]  Hilla Peretz,et al.  Ju n 20 03 Schrödinger ’ s Cat : The rules of engagement , 2003 .

[2]  G J Williams,et al.  The Protein Data Bank: a computer-based archival file for macromolecular structures. , 1978, Archives of biochemistry and biophysics.

[3]  J. Janin,et al.  Computer analysis of protein-protein interaction. , 1978, Journal of molecular biology.

[4]  George D. Rose,et al.  Prediction of chain turns in globular proteins on a hydrophobic basis , 1978, Nature.

[5]  J M Blaney,et al.  A geometric approach to macromolecule-ligand interactions. , 1982, Journal of molecular biology.

[6]  Robert Huber,et al.  On the disordered activation domain in trypsinogen: chemical labelling and low‐temperature crystallography , 1982 .

[7]  J. Bolin,et al.  Crystal structures of Escherichia coli and Lactobacillus casei dihydrofolate reductase refined at 1.7 A resolution. I. General features and binding of methotrexate. , 1982, The Journal of biological chemistry.

[8]  M. L. Connolly Analytical molecular surface calculation , 1983 .

[9]  R. Huber,et al.  The Geometry of the Reactive Site and of the Peptide Groups in Trypsin, Trypsinogen and its Complexes with Inhibitors , 1983 .

[10]  Jeffrey M. Blaney,et al.  Structure-activity relationships of dihydrofolated reductase inhibitors , 1984 .

[11]  D. K. Friesen,et al.  A combinatorial algorithm for calculating ligand binding , 1984 .

[12]  M. L. Connolly Shape complementarity at the hemoglobin α1β1 subunit interface , 1986 .

[13]  I. Kuntz,et al.  Docking flexible ligands to macromolecular receptors by molecular shape. , 1986, Journal of medicinal chemistry.

[14]  J L Sussman,et al.  Refined crystal structure of dogfish M4 apo-lactate dehydrogenase. , 1989, Journal of molecular biology.

[15]  B. Honig,et al.  Calculation of electrostatic potentials in an enzyme active site , 1987, Nature.

[16]  Conrad C. Huang,et al.  The MIDAS display system , 1988 .

[17]  I. Kuntz,et al.  Using shape complementarity as an initial screen in designing ligands for a receptor binding site of known three-dimensional structure. , 1988, Journal of medicinal chemistry.

[18]  Paul A. Bartlett,et al.  Caveat a program to facilitate the structure derived design of biologically active molecules , 1989 .

[19]  D. Goodsell,et al.  Automated docking of substrates to proteins by simulated annealing , 1990, Proteins.

[20]  S J Oatley,et al.  Crystal structures of Escherichia coli dihydrofolate reductase: the NADP+ holoenzyme and the folate.NADP+ ternary complex. Substrate binding and a model for the transition state. , 1990, Biochemistry.

[21]  R. Stroud,et al.  Plastic adaptation toward mutations in proteins: Structural comparison of thymidylate synthases , 1990, Proteins.

[22]  I. Kuntz,et al.  Structure-based design of nonpeptide inhibitors specific for the human immunodeficiency virus 1 protease. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[23]  Alexander A. Rashin,et al.  Hydration phenomena, classical electrostatics, and the boundary element method , 1990 .

[24]  Osman F. Güner,et al.  An integrated approach to three-dimensional information management with MACCS-3D , 1991, J. Chem. Inf. Comput. Sci..

[25]  H. Muirhead,et al.  Design and synthesis of new enzymes based on the lactate dehydrogenase framework. , 1991, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[26]  I. Kuntz,et al.  Protein docking and complementarity. , 1991, Journal of molecular biology.

[27]  W. Howe,et al.  Computer design of bioactive molecules: A method for receptor‐based de novo ligand design , 1991, Proteins.

[28]  S. Kim,et al.  "Soft docking": matching of molecular surface cubes. , 1991, Journal of molecular biology.

[29]  M. Karplus,et al.  Functionality maps of binding sites: A multiple copy simultaneous search method , 1991, Proteins.

[30]  Hans-Joachim Böhm,et al.  The computer program LUDI: A new method for the de novo design of enzyme inhibitors , 1992, J. Comput. Aided Mol. Des..

[31]  D. Koshland,et al.  Prediction of the structure of a receptor–protein complex using a binary docking method , 1992, Nature.

[32]  I. Kuntz,et al.  Automated docking with grid‐based energy evaluation , 1992 .

[33]  Brian K. Shoichet,et al.  Molecular docking using shape descriptors , 1992 .

[34]  A Caflisch,et al.  Monte Carlo docking of oligopeptides to proteins , 1992, Proteins.

[35]  I. Kuntz Structure-Based Strategies for Drug Design and Discovery , 1992, Science.

[36]  Conrad C. Huang,et al.  Automated site-directed drug design using molecular lattices , 1992 .

[37]  I. Kuntz,et al.  Conformational analysis of flexible ligands in macromolecular receptor sites , 1992 .

[38]  I. Kuntz,et al.  Matching chemistry and shape in molecular docking. , 1993, Protein engineering.

[39]  I. Kuntz,et al.  Structure-based discovery of inhibitors of thymidylate synthase. , 1993, Science.

[40]  F E Cohen,et al.  Structure-based inhibitor design by using protein models for the development of antiparasitic agents. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[41]  A J Olson,et al.  Soluble proteins: size, shape and function. , 1993, Trends in biochemical sciences.

[42]  Chris M. W. Ho,et al.  FOUNDATION: A program to retrieve all possible structures containing a user-defined minimum number of matching query elements from three-dimensional databases , 1993, J. Comput. Aided Mol. Des..

[43]  Tony Atkinson,et al.  Design and synthesis of new enzymes based on the lactate dehydrogenase framework , 1993 .

[44]  I D Kuntz,et al.  Inhibition of the fusion-inducing conformational change of influenza hemagglutinin by benzoquinones and hydroquinones. , 1993, Biochemistry.

[45]  André Matagne,et al.  Structural and kinetic characterization of a β-lactamase-inhibitor protein , 1994, Nature.

[46]  W G Laver,et al.  The structure of a complex between the NC10 antibody and influenza virus neuraminidase and comparison with the overlapping binding site of the NC41 antibody. , 1994, Structure.

[47]  I. Kuntz,et al.  Structure-Based Molecular Design , 1994 .

[48]  Structural and kinetic characterization of a beta-lactamase-inhibitor protein. , 1994, Nature.

[49]  Robert P. Sheridan,et al.  FLOG: A system to select ‘quasi-flexible’ ligands complementary to a receptor of known three-dimensional structure , 1994, J. Comput. Aided Mol. Des..

[50]  J. Janin,et al.  Protein-protein recognition. , 1995, Progress in biophysics and molecular biology.

[51]  M Karplus,et al.  An automated method for dynamic ligand design , 1995, Proteins.

[52]  J. Scott Dixon,et al.  Flexible ligand docking using a genetic algorithm , 1995, J. Comput. Aided Mol. Des..

[53]  Ruth Nussinov,et al.  An automated computer vision and robotics-based technique for 3-D flexible biomolecular docking and matching , 1995, Comput. Appl. Biosci..

[54]  R. Stroud,et al.  The complex of the anti-cancer therapeutic, BW1843U89, with thymidylate synthase at 2.0 A resolution: implications for a new mode of inhibition. , 1996, Structure.

[55]  Pedro M. Alzari,et al.  A potent new mode of β-lactamase inhibition revealed by the 1.7 Å X-ray crystallographic structure of the TEM-1–BLIP complex , 1996, Nature Structural Biology.

[56]  D S Goodsell,et al.  Automated docking of flexible ligands: Applications of autodock , 1996, Journal of molecular recognition : JMR.

[57]  R Abagyan,et al.  Molecular docking programs successfully predict the binding of a beta-lactamase inhibitory protein to TEM-1 beta-lactamase. , 1996, Nature structural biology.

[58]  Gennady M Verkhivker,et al.  Exploring the energy landscapes of molecular recognition by a genetic algorithm: analysis of the requirements for robust docking of HIV-1 protease and FKBP-12 complexes. , 1996, Proteins.

[59]  C. Hodge,et al.  Fitting an inhibitor into the active site of thermolysin: A molecular dynamics case study , 1996, Proteins.

[60]  A. N. Jain,et al.  Hammerhead: fast, fully automated docking of flexible ligands to protein binding sites. , 1996, Chemistry & biology.

[61]  J. Cherfils,et al.  Molecular docking programs successfully predict the binding of a β-lactamase inhibitory protein to TEM-1 β-lactamase , 1996, Nature Structural Biology.

[62]  I D Kuntz,et al.  Predicting the structure of protein complexes: a step in the right direction. , 1996, Chemistry & biology.

[63]  Thomas Lengauer,et al.  A fast flexible docking method using an incremental construction algorithm. , 1996, Journal of molecular biology.

[64]  Todd J. A. Ewing,et al.  Critical evaluation of search algorithms for automated molecular docking and database screening , 1997, J. Comput. Chem..

[65]  P Willett,et al.  Development and validation of a genetic algorithm for flexible docking. , 1997, Journal of molecular biology.

[66]  Elaine C. Meng,et al.  Structure of a non-peptide inhibitor complexed with HIV-1 protease. Developing a cycle of structure-based drug design. , 1997 .

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