pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC-Reference-Cited by-同舟云学术

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pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC

Published:2017-09 Issue: Volume:628 Page:315-321
ISSN:0378-1119
Container-title:Gene
language:en
Short-container-title:Gene

Author:

Cheng Xiang,Xiao Xuan,Chou Kuo-Chen

Funder

National Natural Science Foundation of China

Province National Natural Science Foundation of JiangXi

Jiangxi Provincial Foreign Scientific and Technological Cooperation Project

Innovation Program of Shanghai Municipal Education Commission

Publisher

Elsevier BV

Subject

Genetics,General Medicine

Reference101 articles.

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2. Identification of heat shock protein families and J-protein types by incorporating dipeptide composition into Chou's general PseAAC;Ahmad;Comput. Methods Prog. Biomed.,2015

3. Classification of membrane protein types using Voting Feature Interval in combination with Chou's Pseudo Amino Acid Composition;Ali;J. Theor. Biol.,2015

4. Adaptation of protein surfaces to subcellular location;Andrade;J. Mol. Biol.,1998

5. A new hybrid approach to predict subcellular localization of proteins by incorporating gene ontology;Cai;Biochem. Biophys. Res. Commun.,2003

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