Predicting protein secondary structure and solvent accessibility with an improved multiple linear regression method

Proteins: Structure, Function and Genetics

Volumn 61, Issue 3, 2005, Pages 473-480

  Qin, Sanbo ^a,c   He, Yun ^a,c   Pan, Xian Ming ^a,b  

^a INSTITUTE OF BIOPHYSICS   (China)

^b TSINGHUA UNIVERSITY   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Multiple linear regression; Protein folding; Protein secondary structure prediction; PSSM; Solvent accessibility prediction

Indexed keywords

PROTEIN;

ACCURACY; ALGORITHM; ANALYTIC METHOD; ARTICLE; COMPUTER PREDICTION; CORRELATION COEFFICIENT; LINEAR REGRESSION ANALYSIS; NONHUMAN; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE; SEQUENCE HOMOLOGY; SOLUBILITY;

ALGORITHMS; COMPUTATIONAL BIOLOGY; LINEAR MODELS; PROTEIN STRUCTURE, SECONDARY; PROTEINS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SOLVENTS;

EID: 27544490615     PISSN: 08873585     EISSN: None     Source Type: Journal    
DOI: 10.1002/prot.20645     Document Type: Article

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