Literature DB >> 15974595

Unveiling the full potential of flexible receptor docking using multiple crystallographic structures.

Xavier Barril1, S David Morley.   

Abstract

One of the current challenges in docking studies is the inclusion of receptor flexibility. This is crucial because the binding sites of many therapeutic targets sample a wide range of conformational states, which has major consequences on molecular recognition. In this paper, we make use of very large sets of X-ray structures of cyclin dependent kinase 2 (CDK2) and heat shock protein 90 (HSP90) to assess the performance of flexible receptor docking in binding-mode prediction and virtual screening experiments. Flexible receptor docking performs much better than rigid receptor docking in the former application. Regarding the latter, we observe a significant improvement in the prediction of binding affinities, but owing to an increase in the number of false positives, this is not translated into better hit rates. A simple scoring scheme to correct this limitation is presented. More importantly, pitfalls inherent to flexible receptor docking have been identified and guidelines are presented to avoid them.

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Year:  2005        PMID: 15974595     DOI: 10.1021/jm048972v

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


  63 in total

1.  Utilizing experimental data for reducing ensemble size in flexible-protein docking.

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Journal:  Eur J Med Chem       Date:  2011-10-20       Impact factor: 6.514

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4.  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

5.  Balancing target flexibility and target denaturation in computational fragment-based inhibitor discovery.

Authors:  Theresa J Foster; Alexander D MacKerell; Olgun Guvench
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6.  Ultrafast protein structure-based virtual screening with Panther.

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Review 7.  From laptop to benchtop to bedside: structure-based drug design on protein targets.

Authors:  Lu Chen; John K Morrow; Hoang T Tran; Sharangdhar S Phatak; Lei Du-Cuny; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

8.  Enhancing Virtual Screening Performance of Protein Kinases with Molecular Dynamics Simulations.

Authors:  Tavina L Offutt; Robert V Swift; Rommie E Amaro
Journal:  J Chem Inf Model       Date:  2016-10-03       Impact factor: 4.956

9.  Structure-based predictions of activity cliffs.

Authors:  Jarmila Husby; Giovanni Bottegoni; Irina Kufareva; Ruben Abagyan; Andrea Cavalli
Journal:  J Chem Inf Model       Date:  2015-05-11       Impact factor: 4.956

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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