Literature DB >> 8877701

Distributed automated docking of flexible ligands to proteins: parallel applications of AutoDock 2.4.

G M Morris1, D S Goodsell, R Huey, A J Olson.   

Abstract

AutoDock 2.4 predicts the bound conformations of a small, flexible ligand to a nonflexible macromolecular target of known structure. The technique combines simulated annealing for conformation searching with a rapid grid-based method of energy evaluation based on the AMBER force field. AutoDock has been optimized in performance without sacrificing accuracy; it incorporates many enhancements and additions, including an intuitive interface. We have developed a set of tools for launching and analyzing many independent docking jobs in parallel on a heterogeneous network of UNIX-based workstations. This paper describes the current release, and the results of a suite of diverse test systems. We also present the results of a systematic investigation into the effects of varying simulated-annealing parameters on molecular docking. We show that even for ligands with a large number of degrees of freedom, root-mean-square deviations of less than 1 A from the crystallographic conformation are obtained for the lowest-energy dockings, although fewer dockings find the crystallographic conformation when there are more degrees of freedom.

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Year:  1996        PMID: 8877701     DOI: 10.1007/bf00124499

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  20 in total

1.  pKa's of ionizable groups in proteins: atomic detail from a continuum electrostatic model.

Authors:  D Bashford; M Karplus
Journal:  Biochemistry       Date:  1990-11-06       Impact factor: 3.162

2.  Electrostatic effects in proteins: comparison of dielectric and charge models.

Authors:  E L Mehler; T Solmajer
Journal:  Protein Eng       Date:  1991-12

3.  Automated conformational analysis: algorithms for the efficient construction of low-energy conformations.

Authors:  A R Leach; K Prout; D P Dolata
Journal:  J Comput Aided Mol Des       Date:  1990-09       Impact factor: 3.686

4.  Refinement of the influenza virus hemagglutinin by simulated annealing.

Authors:  W I Weis; A T Brünger; J J Skehel; D C Wiley
Journal:  J Mol Biol       Date:  1990-04-20       Impact factor: 5.469

5.  High-resolution crystal structure of cytochrome P450cam.

Authors:  T L Poulos; B C Finzel; A J Howard
Journal:  J Mol Biol       Date:  1987-06-05       Impact factor: 5.469

6.  Structural origins of high-affinity biotin binding to streptavidin.

Authors:  P C Weber; D H Ohlendorf; J J Wendoloski; F R Salemme
Journal:  Science       Date:  1989-01-06       Impact factor: 47.728

7.  Satisfying hydrogen bonding potential in proteins.

Authors:  I K McDonald; J M Thornton
Journal:  J Mol Biol       Date:  1994-05-20       Impact factor: 5.469

8.  Automated docking in crystallography: analysis of the substrates of aconitase.

Authors:  D S Goodsell; H Lauble; C D Stout; A J Olson
Journal:  Proteins       Date:  1993-09

Review 9.  Flexible docking and design.

Authors:  R Rosenfeld; S Vajda; C DeLisi
Journal:  Annu Rev Biophys Biomol Struct       Date:  1995

10.  A geometric approach to macromolecule-ligand interactions.

Authors:  I D Kuntz; J M Blaney; S J Oatley; R Langridge; T E Ferrin
Journal:  J Mol Biol       Date:  1982-10-25       Impact factor: 5.469

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  203 in total

1.  The sensitivity of the results of molecular docking to induced fit effects: application to thrombin, thermolysin and neuraminidase.

Authors:  C W Murray; C A Baxter; A D Frenkel
Journal:  J Comput Aided Mol Des       Date:  1999-11       Impact factor: 3.686

2.  DREAM++: flexible docking program for virtual combinatorial libraries.

Authors:  S Makino; T J Ewing; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

Review 3.  Structure and function of pectic enzymes: virulence factors of plant pathogens.

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Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-01       Impact factor: 11.205

4.  Improving the selectivity of HAV-peptides in modulating E-cadherin-E-cadherin interactions in the intercellular junction of MDCK cell monolayers.

Authors:  I T Makagiansar; M Avery; Y Hu; K L Audus; T J Siahaan
Journal:  Pharm Res       Date:  2001-04       Impact factor: 4.200

5.  Modulation of protein-protein interactions by synthetic receptors: design of molecules that disrupt serine protease-proteinaceous inhibitor interaction.

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Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-16       Impact factor: 11.205

6.  A comparative docking study and the design of potentially selective MMP inhibitors.

Authors:  S Hanessian; N Moitessier; E Therrien
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

7.  DOCK 4.0: search strategies for automated molecular docking of flexible molecule databases.

Authors:  T J Ewing; S Makino; A G Skillman; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  2001-05       Impact factor: 3.686

8.  Protein ligand docking based on empirical method for binding affinity estimation.

Authors:  P Tao; L Lai
Journal:  J Comput Aided Mol Des       Date:  2001-05       Impact factor: 3.686

9.  A force field with discrete displaceable waters and desolvation entropy for hydrated ligand docking.

Authors:  Stefano Forli; Arthur J Olson
Journal:  J Med Chem       Date:  2012-01-13       Impact factor: 7.446

10.  In silico docking and electrophysiological characterization of lacosamide binding sites on collapsin response mediator protein-2 identifies a pocket important in modulating sodium channel slow inactivation.

Authors:  Yuying Wang; Joel M Brittain; Brian W Jarecki; Ki Duk Park; Sarah M Wilson; Bo Wang; Rachel Hale; Samy O Meroueh; Theodore R Cummins; Rajesh Khanna
Journal:  J Biol Chem       Date:  2010-06-09       Impact factor: 5.157

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