Literature DB >> 21349275

A novel force field parameter optimization method based on LSSVR for ECEPP.

Yunling Liu1, Lan Tao, Jianjun Lu, Shuo Xu, Qin Ma, Qingling Duan.   

Abstract

In this paper, we propose a novel force field parameter optimization method based on LSSVR and optimize the torsion energy parameters of ECEPP force field. In this method force field parameter optimization problem is turned into a support vector regression problem. Protein samples for regression model training are chosen from Protein Data Bank. The experiments show that the optimized force-field parameters make both α-helix and β-hairpin structures more consistent with the experimental implications than the original parameters. Crown
Copyright © 2011. Published by Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21349275     DOI: 10.1016/j.febslet.2011.02.019

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  2 in total

1.  Toward Learned Chemical Perception of Force Field Typing Rules.

Authors:  Camila Zanette; Caitlin C Bannan; Christopher I Bayly; Josh Fass; Michael K Gilson; Michael R Shirts; John D Chodera; David L Mobley
Journal:  J Chem Theory Comput       Date:  2018-12-24       Impact factor: 6.006

2.  Identifying potential clinical syndromes of hepatocellular carcinoma using PSO-based hierarchical feature selection algorithm.

Authors:  Zhiwei Ji; Bing Wang
Journal:  Biomed Res Int       Date:  2014-03-17       Impact factor: 3.411

  2 in total

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