Quantitative prediction of the thermal motion and intrinsic disorder of protein cofactors in crystalline state: A case study on halide anions

Journal of Theoretical Biology

Volumn 266, Issue 2, 2010, Pages 291-298

  Ren, Yanrong ^a   Chen, Xiaolin ^a   Li, Xiaobo ^a   Lai, Han ^a   Wang, Qiang ^a   Zhou, Peng ^b   Chen, Guoping ^c  

^a CHONGQING UNIVERSITY OF EDUCATION   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c CHONGQING UNIVERSITY   (China)

Author keywords

B factor; Machine learning; Quantitative structure disorder relationship; Statistical modeling

Indexed keywords

HALIDE; MEMBRANE COFACTOR PROTEIN;

ANION; CRYSTAL STRUCTURE; CRYSTALLOGRAPHY; HALIDE; LIGAND; NUCLEIC ACID; NUMERICAL MODEL; PREDICTION; PROTEIN; QUANTITATIVE ANALYSIS;

ARTICLE; BIOINFORMATICS; CRYSTALLIZATION; INFORMATION PROCESSING; MACHINE LEARNING; MATHEMATICAL MODEL; MOLECULAR DYNAMICS; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN STABILITY; PROTEIN STRUCTURE; QUANTITATIVE ANALYSIS; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STATIC ELECTRICITY; SUPPORT VECTOR MACHINE;

EID: 77954550117     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2010.06.038     Document Type: Article

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