Literature DB >> 15456251

Soft docking and multiple receptor conformations in virtual screening.

Anna Maria Ferrari1, Binqing Q Wei, Luca Costantino, Brian K Shoichet.   

Abstract

Protein conformational change is an important consideration in ligand-docking screens, but it is difficult to predict. A simple way to account for protein flexibility is to soften the criterion for steric fit between ligand and receptor. A more comprehensive but more expensive method would be to sample multiple receptor conformations explicitly. Here, these two approaches are compared. A "soft" scoring function was created by attenuating the repulsive term in the Lennard-Jones potential, allowing for a closer approach between ligand and protein. The standard, "hard" Lennard-Jones potential was used for docking to multiple receptor conformations. The Available Chemicals Directory (ACD) was screened against two cavity sites in the T4 lysozyme. These sites undergo small but significant conformational changes on ligand binding, making them good systems for soft docking. The ACD was also screened against the drug target aldose reductase, which can undergo large conformational changes on ligand binding. We evaluated the ability of the scoring functions to identify known ligands from among the over 200 000 decoy molecules in the database. The soft potential was always better at identifying known ligands than the hard scoring function when only a single receptor conformation was used. Conversely, the soft function was worse at identifying known leads than the hard function when multiple receptor conformations were used. This was true even for the cavity sites and was especially true for aldose reductase. To test the multiple-conformation method predictively, we screened the ACD for molecules that preferentially docked to the expanded conformation of aldose reductase, known to bind larger ligands. Six novel molecules that ranked among the top 0.66% of hits from the multiple-conformation calculation, but ranked relatively poorly in the soft docking calculation, were tested experimentally for enzyme inhibition. Four of these six inhibited the enzyme, the best with an IC(50) of 8 microM. Although ligands can get better scores in soft docking, the same is also true for decoys. The improved ranking of such decoys can come at the expense of true ligands.

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Year:  2004        PMID: 15456251      PMCID: PMC1413506          DOI: 10.1021/jm049756p

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  38 in total

1.  Ligand solvation in molecular docking.

Authors:  B K Shoichet; A R Leach; I D Kuntz
Journal:  Proteins       Date:  1999-01-01

2.  Anatomy of protein pockets and cavities: measurement of binding site geometry and implications for ligand design.

Authors:  J Liang; H Edelsbrunner; C Woodward
Journal:  Protein Sci       Date:  1998-09       Impact factor: 6.725

3.  Screening a peptidyl database for potential ligands to proteins with side-chain flexibility.

Authors:  V Schnecke; C A Swanson; E D Getzoff; J A Tainer; L A Kuhn
Journal:  Proteins       Date:  1998-10-01

4.  Flexible protein-ligand docking by global energy optimization in internal coordinates.

Authors:  M Totrov; R Abagyan
Journal:  Proteins       Date:  1997

5.  Orientational sampling and rigid-body minimization in molecular docking revisited: on-the-fly optimization and degeneracy removal.

Authors:  D A Gschwend; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  1996-04       Impact factor: 3.686

6.  Synthesis, activity, and molecular modeling of a new series of tricyclic pyridazinones as selective aldose reductase inhibitors.

Authors:  L Costantino; G Rastelli; K Vescovini; G Cignarella; P Vianello; A Del Corso; M Cappiello; U Mura; D Barlocco
Journal:  J Med Chem       Date:  1996-10-25       Impact factor: 7.446

7.  Flexible ligand docking using conformational ensembles.

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

8.  Molecular docking to ensembles of protein structures.

Authors:  R M Knegtel; I D Kuntz; C M Oshiro
Journal:  J Mol Biol       Date:  1997-02-21       Impact factor: 5.469

9.  A 'specificity' pocket inferred from the crystal structures of the complexes of aldose reductase with the pharmaceutically important inhibitors tolrestat and sorbinil.

Authors:  A Urzhumtsev; F Tête-Favier; A Mitschler; J Barbanton; P Barth; L Urzhumtseva; J F Biellmann; A Podjarny; D Moras
Journal:  Structure       Date:  1997-05-15       Impact factor: 5.006

10.  The alrestatin double-decker: binding of two inhibitor molecules to human aldose reductase reveals a new specificity determinant.

Authors:  D H Harrison; K M Bohren; G A Petsko; D Ringe; K H Gabbay
Journal:  Biochemistry       Date:  1997-12-23       Impact factor: 3.162

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  60 in total

1.  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

2.  Discovery of novel checkpoint kinase 1 inhibitors by virtual screening based on multiple crystal structures.

Authors:  Yan Li; Dong Joon Kim; Weiya Ma; Ronald A Lubet; Ann M Bode; Zigang Dong
Journal:  J Chem Inf Model       Date:  2011-10-12       Impact factor: 4.956

3.  Accurate Prediction of Docked Protein Structure Similarity.

Authors:  Bahar Akbal-Delibas; Marc Pomplun; Nurit Haspel
Journal:  J Comput Biol       Date:  2015-09       Impact factor: 1.479

4.  Docking validation resources: protein family and ligand flexibility experiments.

Authors:  Sudipto Mukherjee; Trent E Balius; Robert C Rizzo
Journal:  J Chem Inf Model       Date:  2010-10-29       Impact factor: 4.956

5.  Side-chain flexibility in protein-ligand binding: the minimal rotation hypothesis.

Authors:  Maria I Zavodszky; Leslie A Kuhn
Journal:  Protein Sci       Date:  2005-04       Impact factor: 6.725

6.  Here be dragons: docking and screening in an uncharted region of chemical space.

Authors:  Ruth Brenk; John J Irwin; Brian K Shoichet
Journal:  J Biomol Screen       Date:  2005-09-16

Review 7.  Hierarchical docking of databases of multiple ligand conformations.

Authors:  David M Lorber; Brian K Shoichet
Journal:  Curr Top Med Chem       Date:  2005       Impact factor: 3.295

8.  Electrostatic evaluation of isosteric analogues.

Authors:  Roger Sayle; Anthony Nicholls
Journal:  J Comput Aided Mol Des       Date:  2006-07-15       Impact factor: 3.686

9.  DOCK 6: Impact of new features and current docking performance.

Authors:  William J Allen; Trent E Balius; Sudipto Mukherjee; Scott R Brozell; Demetri T Moustakas; P Therese Lang; David A Case; Irwin D Kuntz; Robert C Rizzo
Journal:  J Comput Chem       Date:  2015-06-05       Impact factor: 3.376

10.  Recipes for the selection of experimental protein conformations for virtual screening.

Authors:  Manuel Rueda; Giovanni Bottegoni; Ruben Abagyan
Journal:  J Chem Inf Model       Date:  2010-01       Impact factor: 4.956

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