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...
Saved in:
Published in | Journal of computational chemistry Vol. 29; no. 12; pp. 1930 - 1944 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.09.2008
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0192-8651 1096-987X 1096-987X |
DOI: | 10.1002/jcc.20963 |