Exploring local discriminative information from evolutionary profiles for cytokine–receptor interaction prediction-Reference-Cited by-同舟云学术

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Exploring local discriminative information from evolutionary profiles for cytokine–receptor interaction prediction

Published:2016-12 Issue: Volume:217 Page:37-45
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wei Leyi,Bowen Zhang,Zhiyong Chen,Gao Xing,Liao Minghong

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Scientific Research Foundation of China Mobile

Technology Program of Xiamen City

National Key Technology Support Program

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference76 articles.

1. Determination of the two-dimensional interaction rate constants of a cytokine receptor complex;Gavutis;Biophys. J.,2006

2. Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences;Liu;Nucleic Acids Res.,2015

3. iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition;Liu;Bioinformatics,2015

4. Prediction of thermophilic proteins using feature selection technique;Lin;J. Microbiol. Methods,2011

5. Prediction of protein–protein interactions based on PseAA composition and hybrid feature selection;Liang Liu;Biochem. Biophys. Res. Commun.,2009

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