Identification of properties important to protein aggregation using feature selection

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Fang, Yaping ^a,b   Gao, Shan ^b   Tai, David ^b   Middaugh, C R ^b   Fang, Jianwen ^b,c  

^a HUAZHONG AGRICULTURAL UNIVERSITY   (China)

^b UNIVERSITY OF KANSAS   (United States)

^c NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Aggregation; Amyloid; Feature selection; Machine learning; Peptide; Prediction

Indexed keywords

AGGREGATION PROPENSITY; AMYLOID; BIOPHARMACEUTICAL INDUSTRY; FEATURE SELECTION ALGORITHM; IDENTIFICATION OF PROPERTIES; PHYSICOCHEMICAL PROPERTY; QUATERNARY STRUCTURE; STATE-OF-THE-ART ALGORITHMS;

AGGLOMERATION; ALGORITHMS; FEATURE EXTRACTION; FORECASTING; LEARNING SYSTEMS; PEPTIDES;

AGGREGATES;

AMYLOID; PEPTIDE; PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; BIOLOGY; CHEMISTRY; COMPUTER SIMULATION; HUMAN; METABOLISM; METHODOLOGY; REPRODUCIBILITY; SEQUENCE ANALYSIS; SUPPORT VECTOR MACHINE;

AMINO ACID SEQUENCE; AMYLOID; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; HUMANS; PEPTIDES; PROTEINS; REPRODUCIBILITY OF RESULTS; SEQUENCE ANALYSIS, PROTEIN; SUPPORT VECTOR MACHINES;

EID: 84886130181     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-314     Document Type: Article

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