Prediction Enhancement of Residue Real-Value Relative Accessible Surface Area in Transmembrane Helical Proteins by Solving the Output Preference Problem of Machine Learning-Based Predictors-Reference-Cited by-同舟云学术

Prediction Enhancement of Residue Real-Value Relative Accessible Surface Area in Transmembrane Helical Proteins by Solving the Output Preference Problem of Machine Learning-Based Predictors

Published:2015-10-20 Issue:11 Volume:55 Page:2464-2474
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Xiao Feng¹,Shen Hong-Bin¹

Affiliation:

1. Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China

Funder

Science and Technology Commission of Shanghai Municipality

National Natural Science Foundation of China

Foundation for the Author of National Excellent Doctoral Dissertation of the People's Republic of China

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/acs.jcim.5b00246

Reference49 articles.

1. Genome-wide analysis of integral membrane proteins from eubacterial, archaean, and eukaryotic organisms