Literature DB >> 20812144

Conformational ensembles, signal transduction and residue hot spots: application to drug discovery.

Saliha Ece Acuner Ozbabacan1, Attila Gursoy, Ozlem Keskin, Ruth Nussinov.   

Abstract

A key step in drug development is the identification of both a protein target and its topological cellular network location and interactions, with regard to information flow in disease-causing events and to medication effects. Information flow involves a cascade of binding or covalent modification processes, with each step being affected by those that occur previously. Proteins are flexible, and information flows via dynamic changes in the distribution of conformational protein ensembles; molecular recognition is mainly determined by these changes. Drug discovery often focuses on signaling proteins situated at the crossroads of cellular networks; such signaling proteins have multiple partners that bind through shared binding sites. This review highlights these shared binding sites, and describes research to suggest that partners binding at these sites could at least partly interact via different energetically dominant 'hot-spot' residues. The data also indicate that, despite dynamic changes in the distribution of the conformational ensembles, the hot-spot conformations are retained in their pre-organized states.

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Year:  2010        PMID: 20812144

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  27 in total

1.  Predicting folding free energy changes upon single point mutations.

Authors:  Zhe Zhang; Lin Wang; Yang Gao; Jie Zhang; Maxim Zhenirovskyy; Emil Alexov
Journal:  Bioinformatics       Date:  2012-01-11       Impact factor: 6.937

Review 2.  Computational prediction of protein hot spot residues.

Authors:  John Kenneth Morrow; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

3.  Predicting protein-protein interactions on a proteome scale by matching evolutionary and structural similarities at interfaces using PRISM.

Authors:  Nurcan Tuncbag; Attila Gursoy; Ruth Nussinov; Ozlem Keskin
Journal:  Nat Protoc       Date:  2011-08-11       Impact factor: 13.491

4.  Bioluminescence methodology for the detection of protein-protein interactions within the voltage-gated sodium channel macromolecular complex.

Authors:  Alexander Shavkunov; Neli Panova; Anesh Prasai; Ron Veselenak; Nigel Bourne; Svetla Stoilova-McPhie; Fernanda Laezza
Journal:  Assay Drug Dev Technol       Date:  2012-02-24       Impact factor: 1.738

Review 5.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

6.  Expanding the conformational selection paradigm in protein-ligand docking.

Authors:  Guray Kuzu; Ozlem Keskin; Attila Gursoy; Ruth Nussinov
Journal:  Methods Mol Biol       Date:  2012

Review 7.  How do dynamic cellular signals travel long distances?

Authors:  Ruth Nussinov
Journal:  Mol Biosyst       Date:  2011-07-18

8.  Exploration of the valproic acid binding site on histone deacetylase 8 using docking and molecular dynamic simulations.

Authors:  Jorge Antonio Bermúdez-Lugo; Oscar Perez-Gonzalez; Martha Cecilia Rosales-Hernández; Ian Ilizaliturri-Flores; José Trujillo-Ferrara; Jose Correa-Basurto
Journal:  J Mol Model       Date:  2011-10-04       Impact factor: 1.810

9.  Protein-Protein Interactions as New Targets for Ion Channel Drug Discovery.

Authors:  Svetla Stoilova-McPhie; Syed Ali; Fernanda Laezza
Journal:  Austin J Pharmacol Ther       Date:  2013-12-31

10.  Exploiting conformational ensembles in modeling protein-protein interactions on the proteome scale.

Authors:  Guray Kuzu; Attila Gursoy; Ruth Nussinov; Ozlem Keskin
Journal:  J Proteome Res       Date:  2013-04-30       Impact factor: 4.466

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