Node-Weighted Amino Acid Network Strategy for Characterization and Identification of Protein Functional Residues-Reference-Cited by-同舟云学术

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Node-Weighted Amino Acid Network Strategy for Characterization and Identification of Protein Functional Residues

Published:2018-08-14 Issue:9 Volume:58 Page:2024-2032
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Yan Wenying¹^ORCID,Hu Guang¹,Liang Zhongjie¹,Zhou Jianhong¹,Yang Yang²,Chen Jiajia³,Shen Bairong¹^ORCID

Affiliation:

1. Center for systems biology, Soochow University, Suzhou 215006, China

2. School of computer science and technology, Soochow University, Suzhou 215006, China

3. School of Chemistry, Biology and Material Engineering, Suzhou University of Science and Technology, Suzhou 215011, China

Funder

Government of Jiangsu Province

National Natural Science Foundation 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.8b00146

Reference78 articles.

1. Pfam: the protein families database

2. Phylogenetic and Other Conservation-Based Approaches to Predict Protein Functional Sites

3. Identification of Catalytic Residues Using a Novel Feature that Integrates the Microenvironment and Geometrical Location Properties of Residues

4. PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework

5. Computational identification of binding energy hot spots in protein–RNA complexes using an ensemble approach

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