Literature DB >> 17910068

Interaction cutoff effect on ruggedness of protein-protein energy landscape.

Anatoly M Ruvinsky1, Ilya A Vakser.   

Abstract

The concept of the energy landscape is important for better understanding of protein-protein interactions and for designing adequate docking procedures. The intermolecular landscape has a rugged terrain that impedes search procedures. Its inherent ruggedness is related to the conformational characteristics of the molecules and to the form of the potential function--more rugged for short-range potentials and less rugged for "soft," typically long-range potentials. Our study determined that the landscape ruggedness is further substantially exacerbated by truncation of the potentials. This additional ruggedness appears below certain critical interaction ranges that depend on the form of the potential. The theoretical model describing the cutoff effect on the landscape ruggedness is confirmed by the energy calculation on a dataset of protein-protein complexes. The negative effect of the potentials cutoff is well known. However, revealing its physical basis in terms of the energy landscape is important for better understanding of intermolecular interactions. 2007 Wiley-Liss, Inc.

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Year:  2008        PMID: 17910068     DOI: 10.1002/prot.21644

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  10 in total

1.  Accelerating electrostatic surface potential calculation with multi-scale approximation on graphics processing units.

Authors:  Ramu Anandakrishnan; Tom R W Scogland; Andrew T Fenley; John C Gordon; Wu-chun Feng; Alexey V Onufriev
Journal:  J Mol Graph Model       Date:  2010-06       Impact factor: 2.518

2.  Sequence composition and environment effects on residue fluctuations in protein structures.

Authors:  Anatoly M Ruvinsky; Ilya A Vakser
Journal:  J Chem Phys       Date:  2010-10-21       Impact factor: 3.488

3.  The ruggedness of protein-protein energy landscape and the cutoff for 1/r(n) potentials.

Authors:  Anatoly M Ruvinsky; Ilya A Vakser
Journal:  Bioinformatics       Date:  2009-02-23       Impact factor: 6.937

4.  Chasing funnels on protein-protein energy landscapes at different resolutions.

Authors:  Anatoly M Ruvinsky; Ilya A Vakser
Journal:  Biophys J       Date:  2008-05-30       Impact factor: 4.033

5.  An N log N approximation based on the natural organization of biomolecules for speeding up the computation of long range interactions.

Authors:  Ramu Anandakrishnan; Alexey V Onufriev
Journal:  J Comput Chem       Date:  2010-03       Impact factor: 3.376

6.  Computational modeling of the potential interactions of the proteasome beta5 subunit and catechol-O-methyltransferase-resistant EGCG analogs.

Authors:  Jyoti Kanwar; Imthiyaz Mohammad; Huanjie Yang; Congde Huo; Tak Hang Chan; Q Ping Dou
Journal:  Int J Mol Med       Date:  2010-08       Impact factor: 4.101

Review 7.  Principles of flexible protein-protein docking.

Authors:  Nelly Andrusier; Efrat Mashiach; Ruth Nussinov; Haim J Wolfson
Journal:  Proteins       Date:  2008-11-01

8.  Multi-dimensional characterization of electrostatic surface potential computation on graphics processors.

Authors:  Mayank Daga; Wu-Chun Feng
Journal:  BMC Bioinformatics       Date:  2012-04-12       Impact factor: 3.169

9.  DECK: Distance and environment-dependent, coarse-grained, knowledge-based potentials for protein-protein docking.

Authors:  Shiyong Liu; Ilya A Vakser
Journal:  BMC Bioinformatics       Date:  2011-07-11       Impact factor: 3.169

10.  ROTAS: a rotamer-dependent, atomic statistical potential for assessment and prediction of protein structures.

Authors:  Jungkap Park; Kazuhiro Saitou
Journal:  BMC Bioinformatics       Date:  2014-09-18       Impact factor: 3.169

  10 in total

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