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Predicting MoRFs in protein sequences using HMM profiles.

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第一作者： Ronesh,Sharma

第一单位： School of Electrical and Electronics Engineering, Fiji National University, Suva, Fiji.;School of Engineering and Physics, The University of the South Pacific, Suva, Fiji.

作者： Ronesh,Sharma ^[1] ; Shiu,Kumar ^[1] ; Tatsuhiko,Tsunoda ^[2] ; Ashwini,Patil ^[3] ; Alok,Sharma ^[4]

作者单位： School of Electrical and Electronics Engineering, Fiji National University, Suva, Fiji.;School of Engineering and Physics, The University of the South Pacific, Suva, Fiji. ^[1] CREST, JST, Yokohama, 230-0045, Japan.;RIKEN Center for Integrative Medical Science, Yokohama, 230-0045, Japan.;Medical Research Institute, Tokyo Medical and Dental University, Tokyo, 113-8510, Japan. ^[2] Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan. ashwini@hgc.jp. ^[3] School of Engineering and Physics, The University of the South Pacific, Suva, Fiji. alok.fj@gmail.com.;CREST, JST, Yokohama, 230-0045, Japan. alok.fj@gmail.com.;RIKEN Center for Integrative Medical Science, Yokohama, 230-0045, Japan. alok.fj@gmail.com.;Medical Research Institute, Tokyo Medical and Dental University, Tokyo, 113-8510, Japan. alok.fj@gmail.com. ^[4]

关键词 Hidden Markov model profiles Intrinsically disordered proteins Intrinsically disordered regions Molecular recognition features Support vector machines

医学主题词算法(Algorithms);计算生物学(Computational Biology);人类(Humans);Markov链(Markov Chains);模型, 理论(Models, Theoretical)

DOI 10.1186/s12859-016-1375-0

PMID 28155710

发布时间 2018-12-02

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准确一般字义偏差语意偏离译文作用小提交