Accurate single-sequence prediction of solvent accessible surface area using local and global features
文献类型：期刊论文
| 作者 | Faraggi, E ; Zhou, YQ ; Kloczkowski, A |
| 刊名 | PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
 |
| 出版日期 | 2014 |
| 卷号 | 82期号:11页码:3170-3176 |
| 关键词 | PROTEIN SECONDARY STRUCTURE BACKBONE TORSION ANGLES REAL-VALUE PREDICTION REGRESSION |
| ISSN号 | 0887-3585 |
| 通讯作者 | Faraggi, E (reprint author), Indiana Univ Sch Med, Dept Biochem & Mol Biol, Indianapolis, IN 46202 USA. |
| 英文摘要 | We present a new approach for predicting the Accessible Surface Area (ASA) using a General Neural Network (GENN). The novelty of the new approach lies in not using residue mutation profiles generated by multiple sequence alignments as descriptive inputs. Instead we use solely sequential window information and global features such as single-residue and two-residue compositions of the chain. The resulting predictor is both highly more efficient than sequence alignment-based predictors and of comparable accuracy to them. Introduction of the global inputs significantly helps achieve this comparable accuracy. The predictor, termed ASAquick, is tested on predicting the ASA of globular proteins and found to perform similarly well for so-called easy and hard cases indicating generalizability and possible usability for de-novo protein structure prediction. The source code and a Linux executables for GENN and ASAquick are available from Research and Information Systems at , from the SPARKS Lab at , and from the Battelle Center for Mathematical Medicine at . Proteins 2014; 82:3170-3176. (c) 2014 Wiley Periodicals, Inc. |
| 学科主题 | Physics |
| 收录类别 | SCI |
| 资助信息 | National Institutes of Health (NIH) [R01GM072014, R01GM073095, R01GM085003]; National Science Foundation (NSF) [MCB 1071785]; National Health and Medical Research Council [1059775] |
| 原文出处 | http://dx.doi.org/10.1002/prot.24682 |
| 语种 | 英语 |
| WOS记录号 | WOS:000344378300026 |
| 公开日期 | 2015-06-03 |
| 源URL | [http://ir.itp.ac.cn/handle/311006/15593]  |
| 专题 | 理论物理研究所_理论物理所1978-2010年知识产出 |
| 推荐引用方式 GB/T 7714 | Faraggi, E,Zhou, YQ,Kloczkowski, A. Accurate single-sequence prediction of solvent accessible surface area using local and global features[J]. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS,2014,82(11):3170-3176. |
| APA | Faraggi, E,Zhou, YQ,&Kloczkowski, A.(2014).Accurate single-sequence prediction of solvent accessible surface area using local and global features.PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS,82(11),3170-3176. |
| MLA | Faraggi, E,et al."Accurate single-sequence prediction of solvent accessible surface area using local and global features".PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS 82.11(2014):3170-3176. |
入库方式： OAI收割
来源：理论物理研究所
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