Literature DB >> 9568900

Flexible ligand docking using conformational ensembles.

D M Lorber1, B K Shoichet.   

Abstract

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 A). 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.

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Year:  1998        PMID: 9568900      PMCID: PMC2143983          DOI: 10.1002/pro.5560070411

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  40 in total

1.  "Soft docking": matching of molecular surface cubes.

Authors:  F Jiang; S H Kim
Journal:  J Mol Biol       Date:  1991-05-05       Impact factor: 5.469

2.  Plastic adaptation toward mutations in proteins: structural comparison of thymidylate synthases.

Authors:  K M Perry; E B Fauman; J S Finer-Moore; W R Montfort; G F Maley; F Maley; R M Stroud
Journal:  Proteins       Date:  1990

3.  Monte Carlo docking of oligopeptides to proteins.

Authors:  A Caflisch; P Niederer; M Anliker
Journal:  Proteins       Date:  1992-07

4.  Computer design of bioactive molecules: a method for receptor-based de novo ligand design.

Authors:  J B Moon; W J Howe
Journal:  Proteins       Date:  1991

5.  Protein docking and complementarity.

Authors:  B K Shoichet; I D Kuntz
Journal:  J Mol Biol       Date:  1991-09-05       Impact factor: 5.469

6.  An integrated approach to three-dimensional information management with MACCS-3D.

Authors:  O F Güner; D W Hughes; L M Dumont
Journal:  J Chem Inf Comput Sci       Date:  1991-08

7.  Functionality maps of binding sites: a multiple copy simultaneous search method.

Authors:  A Miranker; M Karplus
Journal:  Proteins       Date:  1991

8.  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.

Authors:  C Bystroff; S J Oatley; J Kraut
Journal:  Biochemistry       Date:  1990-04-03       Impact factor: 3.162

9.  The Protein Data Bank: a computer-based archival file for macromolecular structures.

Authors:  F C Bernstein; T F Koetzle; G J Williams; E F Meyer; M D Brice; J R Rodgers; O Kennard; T Shimanouchi; M Tasumi
Journal:  J Mol Biol       Date:  1977-05-25       Impact factor: 5.469

10.  Structure-based design of nonpeptide inhibitors specific for the human immunodeficiency virus 1 protease.

Authors:  R L DesJarlais; G L Seibel; I D Kuntz; P S Furth; J C Alvarez; P R Ortiz de Montellano; D L DeCamp; L M Babé; C S Craik
Journal:  Proc Natl Acad Sci U S A       Date:  1990-09       Impact factor: 11.205

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  75 in total

1.  Deciphering common failures in molecular docking of ligand-protein complexes.

Authors:  G M Verkhivker; D Bouzida; D K Gehlhaar; P A Rejto; S Arthurs; A B Colson; S T Freer; V Larson; B A Luty; T Marrone; P W Rose
Journal:  J Comput Aided Mol Des       Date:  2000-11       Impact factor: 3.686

2.  Statistical relationships among docking scores for different protein binding sites.

Authors:  R T Koehler; H O Villar
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

3.  Comparison of two implementations of the incremental construction algorithm in flexible docking of thrombin inhibitors.

Authors:  R M Knegtel; D M Bayada; R A Engh; W von der Saal; V J van Geerestein; P D Grootenhuis
Journal:  J Comput Aided Mol Des       Date:  1999-03       Impact factor: 3.686

4.  Protein-protein docking with multiple residue conformations and residue substitutions.

Authors:  David M Lorber; Maria K Udo; Brian K Shoichet
Journal:  Protein Sci       Date:  2002-06       Impact factor: 6.725

5.  Protein-protein docking with a reduced protein model accounting for side-chain flexibility.

Authors:  Martin Zacharias
Journal:  Protein Sci       Date:  2003-06       Impact factor: 6.725

Review 6.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

7.  Soft docking and multiple receptor conformations in virtual screening.

Authors:  Anna Maria Ferrari; Binqing Q Wei; Luca Costantino; Brian K Shoichet
Journal:  J Med Chem       Date:  2004-10-07       Impact factor: 7.446

8.  Protein-Protein Docking Using EMAP in CHARMM and Support Vector Machine: Application to Ab/Ag Complexes.

Authors:  Jon D Wright; Karen Sargsyan; Xiongwu Wu; Bernard R Brooks; Carmay Lim
Journal:  J Chem Theory Comput       Date:  2013-08-16       Impact factor: 6.006

9.  ZINC--a free database of commercially available compounds for virtual screening.

Authors:  John J Irwin; Brian K Shoichet
Journal:  J Chem Inf Model       Date:  2005 Jan-Feb       Impact factor: 4.956

10.  Coregulator control of androgen receptor action by a novel nuclear receptor-binding motif.

Authors:  Katja Jehle; Laura Cato; Antje Neeb; Claudia Muhle-Goll; Nicole Jung; Emmanuel W Smith; Victor Buzon; Laia R Carbó; Eva Estébanez-Perpiñá; Katja Schmitz; Ljiljana Fruk; Burkhard Luy; Yu Chen; Marc B Cox; Stefan Bräse; Myles Brown; Andrew C B Cato
Journal:  J Biol Chem       Date:  2014-02-12       Impact factor: 5.157

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