Literature DB >> 9047373

Molecular docking to ensembles of protein structures.

R M Knegtel1, I D Kuntz, C M Oshiro.   

Abstract

Until recently, applications of molecular docking assumed that the macromolecular receptor exists in a single, rigid conformation. However, structural studies involving different ligands bound to the same target biomolecule frequently reveal modest but significant conformational changes in the target. In this paper, two related methods for molecular docking are described that utilize information on conformational variability from ensembles of experimental receptor structures. One method combines the information into an "energy-weighted average" of the interaction energy between a ligand and each receptor structure. The other method performs the averaging on a structural level, producing a "geometry-weighted average" of the inter-molecular force field score used in DOCK 3.5. Both methods have been applied in docking small molecules to ensembles of crystal and solution structures, and we show that experimentally determined binding orientations and computed energies of known ligands can be reproduced accurately. The use of composite grids, when conformationally different protein structures are available, yields an improvement in computational speed for database searches in proportion to the number of structures.

Mesh:

Substances:

Year:  1997        PMID: 9047373     DOI: 10.1006/jmbi.1996.0776

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  81 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.  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

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

Review 4.  Multiple diverse ligands binding at a single protein site: a matter of pre-existing populations.

Authors:  Buyong Ma; Maxim Shatsky; Haim J Wolfson; Ruth Nussinov
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

5.  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

6.  The effect of multiple binding modes on empirical modeling of ligand docking to proteins.

Authors:  R Brem; K A Dill
Journal:  Protein Sci       Date:  1999-05       Impact factor: 6.725

Review 7.  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

8.  Identifying the binding mode of a molecular scaffold.

Authors:  Doron Chema; Doron Eren; Avner Yayon; Amiram Goldblum; Andrea Zaliani
Journal:  J Comput Aided Mol Des       Date:  2004-01       Impact factor: 3.686

9.  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

10.  Chemical space sampling by different scoring functions and crystal structures.

Authors:  Natasja Brooijmans; Christine Humblet
Journal:  J Comput Aided Mol Des       Date:  2010-04-18       Impact factor: 3.686

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