Literature DB >> 11959497

Complexity and simplicity of ligand-macromolecule interactions: the energy landscape perspective.

Gennady M Verkhivker1, Djamal Bouzida, Daniel K Gehlhaar, Paul A Rejto, Stephan T Freer, Peter W Rose.   

Abstract

The energy landscape approach has contributed to recent progress in understanding the complexity and simplicity of ligand-macromolecule interactions. Significant advances in computational structure prediction of ligand-protein complexes have been made using approaches that include the effects of protein flexibility and incorporate a hierarchy of energy functions. The results suggest that the complexity of structure prediction in molecular recognition may be determined by low-resolution properties of the underlying binding energy landscapes and by the nature of the energy funnels near the native structures of the complexes.

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Year:  2002        PMID: 11959497     DOI: 10.1016/s0959-440x(02)00310-x

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  30 in total

1.  Protein topology determines binding mechanism.

Authors:  Yaakov Levy; Peter G Wolynes; José N Onuchic
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-23       Impact factor: 11.205

2.  Simulating disorder-order transitions in molecular recognition of unstructured proteins: where folding meets binding.

Authors:  Gennady M Verkhivker; Djamal Bouzida; Daniel K Gehlhaar; Paul A Rejto; Stephan T Freer; Peter W Rose
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-15       Impact factor: 11.205

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Journal:  Protein Sci       Date:  2004-06       Impact factor: 6.725

4.  Specific recognition of macroscopic objects by the cell surface: evidence for a receptor density threshold revealed by micrometric particle binding characteristics.

Authors:  Stéphanie Sarda; David Pointu; Frédéric Pincet; Nelly Henry
Journal:  Biophys J       Date:  2004-05       Impact factor: 4.033

5.  Vaccinia virus virulence factor N1L is a novel promising target for antiviral therapeutic intervention.

Authors:  Anton V Cheltsov; Mika Aoyagi; Alexander Aleshin; Eric Chi-Wang Yu; Taylor Gilliland; Dayong Zhai; Andrey A Bobkov; John C Reed; Robert C Liddington; Ruben Abagyan
Journal:  J Med Chem       Date:  2010-05-27       Impact factor: 7.446

6.  Computational modeling of structurally conserved cancer mutations in the RET and MET kinases: the impact on protein structure, dynamics, and stability.

Authors:  Anshuman Dixit; Ali Torkamani; Nicholas J Schork; Gennady Verkhivker
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7.  Conformer-specific characterization of nonnative protein states using hydrogen exchange and top-down mass spectrometry.

Authors:  Guanbo Wang; Rinat R Abzalimov; Cedric E Bobst; Igor A Kaltashov
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-25       Impact factor: 11.205

Review 8.  NMR spectroscopy brings invisible protein states into focus.

Authors:  Andrew J Baldwin; Lewis E Kay
Journal:  Nat Chem Biol       Date:  2009-11       Impact factor: 15.040

9.  Structural basis of the allosteric inhibitor interaction on the HIV-1 reverse transcriptase RNase H domain.

Authors:  Martin T Christen; Lakshmi Menon; Nataliya S Myshakina; Jinwoo Ahn; Michael A Parniak; Rieko Ishima
Journal:  Chem Biol Drug Des       Date:  2012-08-31       Impact factor: 2.817

10.  Hierarchical modeling of activation mechanisms in the ABL and EGFR kinase domains: thermodynamic and mechanistic catalysts of kinase activation by cancer mutations.

Authors:  Anshuman Dixit; Gennady M Verkhivker
Journal:  PLoS Comput Biol       Date:  2009-08-28       Impact factor: 4.475

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