Literature DB >> 23180158

Pocket-based drug design: exploring pocket space.

Xiliang Zheng1, Linfeng Gan, Erkang Wang, Jin Wang.   

Abstract

The identification and application of druggable pockets of targets play a key role in in silico drug design, which is a fundamental step in structure-based drug design. Herein, some recent progresses and developments of the computational analysis of pockets have been covered. Also, the pockets at the protein-protein interfaces (PPI) have been considered to further explore the pocket space for drug discovery. We have presented two case studies targeting the kinetic pockets generated by normal mode analysis and molecular dynamics method, respectively, in which we focus upon incorporating the pocket flexibility into the two-dimensional virtual screening with both affinity and specificity. We applied the specificity and affinity (SPA) score to quantitatively estimate affinity and evaluate specificity using the intrinsic specificity ratio (ISR) as a quantitative criterion. In one of two cases, we also included some applications of pockets located at the dimer interfaces to emphasize the role of PPI in drug discovery. This review will attempt to summarize the current status of this pocket issue and will present some prospective avenues of further inquiry.

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Year:  2012        PMID: 23180158      PMCID: PMC3535113          DOI: 10.1208/s12248-012-9426-6

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  91 in total

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Review 3.  Target flexibility in molecular recognition.

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Review 4.  Predicting protein druggability.

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Journal:  Drug Discov Today       Date:  2005-12       Impact factor: 7.851

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8.  Drug discovery using chemical systems biology: weak inhibition of multiple kinases may contribute to the anti-cancer effect of nelfinavir.

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9.  PoSSuM: a database of similar protein-ligand binding and putative pockets.

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Authors:  Vincent Le Guilloux; Peter Schmidtke; Pierre Tuffery
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  20 in total

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4.  Considerations of Protein Subpockets in Fragment-Based Drug Design.

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Journal:  Chem Biol Drug Des       Date:  2015-08-31       Impact factor: 2.817

5.  Improving protein-ligand binding site prediction accuracy by classification of inner pocket points using local features.

Authors:  Radoslav Krivák; David Hoksza
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Review 7.  Drug-Like Protein-Protein Interaction Modulators: Challenges and Opportunities for Drug Discovery and Chemical Biology.

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8.  Functional consequences of somatic mutations in cancer using protein pocket-based prioritization approach.

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Journal:  Genome Med       Date:  2014-10-14       Impact factor: 11.117

9.  POVME 2.0: An Enhanced Tool for Determining Pocket Shape and Volume Characteristics.

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Journal:  PLoS One       Date:  2014-11-10       Impact factor: 3.240

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