SCAMPER: Accurate Type-Specific Prediction of Calcium-Binding Residues Using Sequence-Derived Features
Author:
Affiliation:
1. School of Computer and Information Technology, Xinyang Normal University, Xinyang, Henan, China
2. School of Information Science and Technology, Northeast Normal University, Changchun, Jilin, China
Funder
National Natural Science Foundation of China
Innovation Team Support Plan of University Science and Technology of Henan Province
CERNET Innovation Project
Key Scientific Research Project in Colleges and Universities of Henan Province
Xinyang Normal University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Genetics,Biotechnology
Link
http://xplorestaging.ieee.org/ielx7/8857/10091711/09772410.pdf?arnumber=9772410
Reference76 articles.
1. Calcium Control of Neurotransmitter Release
2. Accurate single-sequence prediction of solvent accessible surface area using local and global features
3. Regulation of mitochondrial dehydrogenases by calcium ions
4. Composition Profiler: a tool for discovery and visualization of amino acid composition differences
5. Accessing protein conformational ensembles using room-temperature X-ray crystallography
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