Ab initio protein structure prediction with force field parameters derived from water-phase quantum chemical calculation

Molecular dynamics (MD) simulations are extensively used in the study of the structures and functions of proteins. Ab initio protein structure prediction is one of the most important subjects in computational biology, and many trials have been performed using MD simulation so far. Since the results...

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Bibliographic Details
Published inJournal of computational chemistry Vol. 29; no. 12; pp. 1930 - 1944
Main Authors Katagiri, Daisuke, Fuji, Hideyoshi, Neya, Saburo, Hoshino, Tyuji
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.09.2008
Wiley Subscription Services, Inc
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Summary:Molecular dynamics (MD) simulations are extensively used in the study of the structures and functions of proteins. Ab initio protein structure prediction is one of the most important subjects in computational biology, and many trials have been performed using MD simulation so far. Since the results of MD simulations largely depend on the force field, reliable force field parameters are indispensable for the success of MD simulation. In this work, we have modified atom charges in a standard force field on the basis of water-phase quantum chemical calculations. The modified force field turned out appropriate for ab initio protein structure prediction by the MD simulation with the generalized Born method. Detailed analysis was performed in terms of the conformational stability of amino acid residues, the stability of secondary structure of proteins, and the accuracy for prediction of protein tertiary structure, comparing the modified force field with a standard one. The energy balance between α-helix and β-sheet structures was significantly improved by the modification of charge parameters.
Bibliography:http://dx.doi.org/10.1002/jcc.20963
ArticleID:JCC20963
istex:F3003C8CE101AD4D0FCA165395579D5B5110530C
ark:/67375/WNG-6BNS4XB8-N
JSPS Research Fellowship for Young Scientists
Japan Science and Technology Agency
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ISSN:0192-8651
1096-987X
1096-987X
DOI:10.1002/jcc.20963