Institute of Computing Technology, Chinese Academy IR
Fragment-HMM: A new approach to protein structure prediction | |
Li, Shuai Cheng2; Bu, Dongbo2,3; Xu, Jinbo1; Li, Ming2 | |
2008-11-01 | |
发表期刊 | PROTEIN SCIENCE |
ISSN | 0961-8368 |
卷号 | 17期号:11页码:1925-1934 |
摘要 | We designed a simple position-specific hidden Markov model to predict protein structure. Our new framework naturally repeats itself to converge to a final target, conglomerating fragment assembly, clustering, target selection, refinement, and consensus, all in one process. Our initial implementation of this theory converges to within 6 angstrom of the native structures for 100% of decoys on all six standard benchmark proteins used in ROSETTA (discussed by Simons and colleagues in a recent paper), which achieved only 14%-94% for the same data. The qualities of the best decoys and the final decoys our theory converges to are also notably better. |
关键词 | protein structure prediction hidden Markov model fragment assembly |
DOI | 10.1110/ps.036442.108 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | NSERC[OGP0046506] ; Canada Research Chair program ; MITACS ; NSF of China[60496324] ; Chinese Government Scholarship |
WOS研究方向 | Biochemistry & Molecular Biology |
WOS类目 | Biochemistry & Molecular Biology |
WOS记录号 | WOS:000260423400006 |
出版者 | WILEY-BLACKWELL |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/11070 |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Xu, Jinbo |
作者单位 | 1.Toyota Technol Inst, Chicago, IL 60637 USA 2.Univ Waterloo, David R Cheriton Sch Comp Sci, Waterloo, ON N2L 3G1, Canada 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Shuai Cheng,Bu, Dongbo,Xu, Jinbo,et al. Fragment-HMM: A new approach to protein structure prediction[J]. PROTEIN SCIENCE,2008,17(11):1925-1934. |
APA | Li, Shuai Cheng,Bu, Dongbo,Xu, Jinbo,&Li, Ming.(2008).Fragment-HMM: A new approach to protein structure prediction.PROTEIN SCIENCE,17(11),1925-1934. |
MLA | Li, Shuai Cheng,et al."Fragment-HMM: A new approach to protein structure prediction".PROTEIN SCIENCE 17.11(2008):1925-1934. |
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