中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Reoptimized UNRES Potential for Protein Model Quality Assessment

文献类型:期刊论文

作者Faraggi, E4; Krupa, P6; Mozolewska, MA; Liwo, A8,9,10; Kloczkowski, A1,2,3,5
刊名GENES
出版日期2018
卷号9期号:12页码:601
关键词RESIDUE FORCE-FIELD KNOWLEDGE-BASED POTENTIALS ACCESSIBLE SURFACE-AREA STRUCTURE PREDICTION MOLECULAR-DYNAMICS STATISTICAL POTENTIALS STRUCTURE SIMULATIONS POLYPEPTIDE-CHAINS SCORING FUNCTION WEB SERVER
ISSN号2073-4425
DOI10.3390/genes9120601
英文摘要Ranking protein structure models is an elusive problem in bioinformatics. These models are evaluated on both the degree of similarity to the native structure and the folding pathway. Here, we simulated the use of the coarse-grained UNited RESidue (UNRES) force field as a tool to choose the best protein structure models for a given protein sequence among a pool of candidate models, using server data from the CASP11 experiment. Because the original UNRES was optimized for Molecular Dynamics simulations, we reoptimized UNRES using a deep feed-forward neural network, and we show that introducing additional descriptive features can produce better results. Overall, we found that the reoptimized UNRES performs better in selecting the best structures and tracking protein unwinding from its native state. We also found a relatively poor correlation between UNRES values and the model's Template Modeling Score (TMS). This is remedied by reoptimization. We discuss some cases where our reoptimization procedure is useful.
学科主题Genetics & Heredity
语种英语
源URL[http://ir.itp.ac.cn/handle/311006/23532]  
专题理论物理研究所_理论物理所1978-2010年知识产出
作者单位1.Chinese Acad Sci, Kavli Inst Theoret Phys China, Beijing 100190, Peoples R China
2.Ohio State Univ, Dept Pediat, Columbus, OH 43215 USA
3.Korea Inst Adv Study, Sch Computat Sci, 85 Hoegiro, Seoul 130722, South Korea
4.Res & Informat Syst LLC, Indianapolis, IN 46240 USA
5.Indiana Univ Purdue Univ, Dept Phys, Indianapolis, IN 46202 USA
6.Nationwide Childrens Hosp, Battelle Ctr Math Med, Columbus, OH 43215 USA
7.Polish Acad Sci, Inst Phys, Al Lotnikow 32-46, PL-02668 Warsaw, Poland
8.Mozolewska, Magdalena A.] Polish Acad Sci, Inst Comp Sci, Ul Jana Kazimierza 5, PL-01248 Warsaw, Poland
9.Korea Inst Adv Study, Ctr In Silico Prot Struct, 85 Hoegiro, Seoul 130722, South Korea
10.Univ Gdansk, Fac Chem, Wita Stwosza 63, PL-80308 Gdansk, Poland
推荐引用方式
GB/T 7714
Faraggi, E,Krupa, P,Mozolewska, MA,et al. Reoptimized UNRES Potential for Protein Model Quality Assessment[J]. GENES,2018,9(12):601.
APA Faraggi, E,Krupa, P,Mozolewska, MA,Liwo, A,&Kloczkowski, A.(2018).Reoptimized UNRES Potential for Protein Model Quality Assessment.GENES,9(12),601.
MLA Faraggi, E,et al."Reoptimized UNRES Potential for Protein Model Quality Assessment".GENES 9.12(2018):601.

入库方式: OAI收割

来源:理论物理研究所

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