Literature DB >> 10091122

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

R M Knegtel1, D M Bayada, R A Engh, W von der Saal, V J van Geerestein, P D Grootenhuis.   

Abstract

A set of 32 known thrombin inhibitors representing different chemical classes has been used to evaluate the performance of two implementations of incremental construction algorithms for flexible molecular docking: DOCK 4.0 and FlexX 1.5. Both docking tools are able to dock 10-35% of our test set within 2 A of their known, bound conformations using default sampling and scoring parameters. Although flexible docking with DOCK or FlexX is not able to reconstruct all native complexes, it does offer a significant improvement over rigid body docking of single, rule-based conformations, which is still often used for docking of large databases. Docking of sets of multiple conformers of each inhibitor, obtained with a novel protocol for diverse conformer generation and selection, yielded results comparable to those obtained by flexible docking. Chemical scoring, which is an empirically modified force field scoring method implemented in DOCK 4.0, outperforms both interaction energy scoring by DOCK and the Böhm scoring function used by FlexX in rigid and flexible docking of thrombin inhibitors. Our results indicate that for reliable docking of flexible ligands the selection of anchor fragments, conformational sampling and currently available scoring methods still require improvement.

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Year:  1999        PMID: 10091122     DOI: 10.1023/a:1008014604433

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


  22 in total

1.  Correlation of binding affinities with non-bonded interaction energies of thrombin-inhibitor complexes.

Authors:  P D Grootenhuis; P J van Galen
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  1995-07-01

2.  Evaluation of the CASP2 docking section.

Authors:  J S Dixon
Journal:  Proteins       Date:  1997

Review 3.  Automated docking of flexible ligands: applications of AutoDock.

Authors:  D S Goodsell; G M Morris; A J Olson
Journal:  J Mol Recognit       Date:  1996 Jan-Feb       Impact factor: 2.137

4.  Hammerhead: fast, fully automated docking of flexible ligands to protein binding sites.

Authors:  W Welch; J Ruppert; A N Jain
Journal:  Chem Biol       Date:  1996-06

5.  Flexible ligand docking using conformational ensembles.

Authors:  D M Lorber; B K Shoichet
Journal:  Protein Sci       Date:  1998-04       Impact factor: 6.725

6.  Functionality map analysis of the active site cleft of human thrombin.

Authors:  P D Grootenhuis; M Karplus
Journal:  J Comput Aided Mol Des       Date:  1996-02       Impact factor: 3.686

7.  Development and validation of a genetic algorithm for flexible docking.

Authors:  G Jones; P Willett; R C Glen; A R Leach; R Taylor
Journal:  J Mol Biol       Date:  1997-04-04       Impact factor: 5.469

Review 8.  Flexible docking and design.

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

9.  The development of a simple empirical scoring function to estimate the binding constant for a protein-ligand complex of known three-dimensional structure.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1994-06       Impact factor: 3.686

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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  2 in total

1.  Comparative study of several algorithms for flexible ligand docking.

Authors:  Badry D Bursulaya; Maxim Totrov; Ruben Abagyan; Charles L Brooks
Journal:  J Comput Aided Mol Des       Date:  2003-11       Impact factor: 3.686

2.  Distilling the essential features of a protein surface for improving protein-ligand docking, scoring, and virtual screening.

Authors:  Maria I Zavodszky; Paul C Sanschagrin; Rajesh S Korde; Leslie A Kuhn
Journal:  J Comput Aided Mol Des       Date:  2002-12       Impact factor: 3.686

  2 in total

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