Prediction and evolutionary information analysis of protein solvent accessibility using multiple linear regression

Proteins: Structure, Function and Genetics

Volumn 61, Issue 3, 2005, Pages 481-491

  Wang, Jung Ying ^a,b   Lee, Hahn Ming ^a   Ahmad, Shandar ^c,d  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b LUNGHWA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^c KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

^d JAMIA MILLIA ISLAMIA CENTRAL UNIVERSITY   (India)

Author keywords

Multiple linear regression; Solvent accessibility; Structure prediction

Indexed keywords

ALANINE; AMINO ACID; ARGININE; ASPARAGINE; ASPARTIC ACID; CYSTEINE; GLUTAMIC ACID; GLUTAMINE; GLYCINE; HISTIDINE; ISOLEUCINE; LEUCINE; LYSINE; METHIONINE; PHENYLALANINE; PROLINE; PROTEIN; SERINE; THREONINE; TRYPTOPHAN; TYROSINE; VALINE;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; BINDING AFFINITY; COMPUTER PREDICTION; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; HYDROPHOBICITY; LINEAR REGRESSION ANALYSIS; MOLECULAR EVOLUTION; NONHUMAN; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN STRUCTURE; SOLUBILITY;

AMINO ACIDS; EVOLUTION, MOLECULAR; LINEAR MODELS; PROTEINS; REGRESSION ANALYSIS; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, PROTEIN; SOLVENTS;

EID: 27544475311     PISSN: 08873585     EISSN: None     Source Type: Journal    
DOI: 10.1002/prot.20620     Document Type: Article

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