Prediction of Membrane Protein Types by Incorporating Amphipathic Effects-Reference-Cited by-同舟云学术

Prediction of Membrane Protein Types by Incorporating Amphipathic Effects

Published:2005-02-12 Issue:2 Volume:45 Page:407-413
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Chou Kuo-Chen¹,Cai Yu-Dong¹

Affiliation:

1. Gordon Life Science Institute, San Diego, California 92130, Tianjin Institute of Bioinformatics and Drug Discovery (TIBDD), Tianjin, China, Bioinformatics Research Centre, Donghua University, Shanghai 200050, China, Shanghai Research Centre of Biotechnology, Chinese Academy of Sciences, Shanghai, China, and Biomolecular Sciences Department, University of Manchester Institute of Science & Technology, P.O. Box 88, Manchester, M60 1QD, U.K.

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci049686v

Reference26 articles.

1. Transmembrane helices predicted at 95% accuracy

2. Prediction of membrane protein types and subcellular locations

3. Using neural networks for prediction of the subcellular location of proteins

4. The SWISS-PROT protein sequence data bank and its supplement TrEMBL

5. The Folding Type of a Protein Is Relevant to the Amino Acid Composition

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