Literature DB >> 20392095

Targeting the BH3 domain mediated protein-protein interaction of Bcl-xL through virtual screening.

Prasenjit Mukherjee1, Prashant Desai, Yu-Dong Zhou, Mitchell Avery.   

Abstract

Apoptosis, or programmed cell death, forms an important part of the cellular regulation machinery. The Bcl-2 protein family, comprising of proapoptotic and antiapoptotic members, forms an important part of the cells internal apoptotic pathway. Overexpression of the antiapoptotic members of the family in a number of cancer cell lines renders them immune to apoptosis and the ability to survive under conditions of cellular stress. Inhibition of the antiapoptotic members of the Bcl-2 family are, therefore, an interesting target for the development of anticancer therapy. An innovative structure-based virtual screening strategy was developed to identify inhibitors of Bcl-xL, an antiapoptotic member of the Bcl-2 family. Various innovative filters, such as receptor-based pharmacophore, cascade docking approach, cross-docking, and composite scoring with docking pose based descriptors were designed through exhaustive validation studies and implemented in the screening funnel. The 1.8 million 'big-n-greasy' subset from ZINC was screened using the protocol, and 45 compounds were finally selected for biological evaluation against Bcl-xL. The evaluation led to the identification of one low-micromolar and two weaker inhibitors belonging to novel scaffolds. Further evaluation of structure-activity relationships around these scaffolds could help in the development of anticancer leads against Bcl-xL.

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Year:  2010        PMID: 20392095     DOI: 10.1021/ci1000373

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  9 in total

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2.  Inhibitors of SARS-3CLpro: virtual screening, biological evaluation, and molecular dynamics simulation studies.

Authors:  Prasenjit Mukherjee; Falgun Shah; Prashant Desai; Mitchell Avery
Journal:  J Chem Inf Model       Date:  2011-05-23       Impact factor: 4.956

3.  Identification of molecular features necessary for selective inhibition of B cell lymphoma proteins using machine learning techniques.

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Review 4.  Small molecules, big targets: drug discovery faces the protein-protein interaction challenge.

Authors:  Duncan E Scott; Andrew R Bayly; Chris Abell; John Skidmore
Journal:  Nat Rev Drug Discov       Date:  2016-04-11       Impact factor: 84.694

5.  Structure-based virtual screening identifies a small-molecule inhibitor of the profilin 1-actin interaction.

Authors:  David Gau; Taber Lewis; Lee McDermott; Peter Wipf; David Koes; Partha Roy
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Review 6.  Targeting protein-protein interactions as an anticancer strategy.

Authors:  Andrei A Ivanov; Fadlo R Khuri; Haian Fu
Journal:  Trends Pharmacol Sci       Date:  2013-05-29       Impact factor: 14.819

7.  A Computational Investigation of Small-Molecule Engagement of Hot Spots at Protein-Protein Interaction Interfaces.

Authors:  David Xu; Yubing Si; Samy O Meroueh
Journal:  J Chem Inf Model       Date:  2017-08-29       Impact factor: 4.956

8.  Mimicking Intermolecular Interactions of Tight Protein-Protein Complexes for Small-Molecule Antagonists.

Authors:  David Xu; Khuchtumur Bum-Erdene; Yubing Si; Donghui Zhou; Mona K Ghozayel; Samy O Meroueh
Journal:  ChemMedChem       Date:  2017-10-23       Impact factor: 3.466

9.  Behavior of solvent-exposed hydrophobic groove in the anti-apoptotic Bcl-XL protein: clues for its ability to bind diverse BH3 ligands from MD simulations.

Authors:  Dilraj Lama; Vivek Modi; Ramasubbu Sankararamakrishnan
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

  9 in total

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