QSAR modeling of peptide biological activity by coupling support vector machine with particle swarm optimization algorithm and genetic algorithm

Journal of Molecular Graphics and Modelling

Volumn 29, Issue 2, 2010, Pages 188-196

  Zhou, Xuan ^a,b   Li, Zhanchao ^a   Dai, Zong ^a   Zou, Xiaoyong ^a  

^a SUN YAT SEN UNIVERSITY   (China)

^b GUANGDONG PHARMACEUTICAL UNIVERSITY   (China)

Author keywords

Genetic algorithm; Particle swarm optimization algorithm; Peptide; Quantitative structure activity relationship; Support vector machine

Indexed keywords

AMINO ACID SEQUENCE; BIOLOGICAL ACTIVITIES; CORRELATION COEFFICIENT; COUPLING SUPPORT; CROSSOVER AND MUTATION; DATA SETS; GLOBALOPTIMUM; HIGH POTENTIAL; KERNEL PARAMETER; LOCAL OPTIMA; NOVEL METHODS; PARTICLE SWARM OPTIMIZATION ALGORITHM; PHYSICOCHEMICAL FEATURES; PROTEIN PREDICTION; PSO ALGORITHMS; QSAR MODELING; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS; ROOT-MEAN SQUARE ERRORS; STRUCTURAL CLASS; TEST SETS; TRAINING SETS;

AMINO ACIDS; COUPLINGS; DATA PROCESSING; ORGANIC ACIDS; PARTICLE SWARM OPTIMIZATION (PSO); PEPTIDES; SHAPE OPTIMIZATION; SUPPORT VECTOR MACHINES; VECTORS;

GENETIC ALGORITHMS;

HLA A ANTIGEN; MELITTIN; POLYPEPTIDE ANTIBIOTIC AGENT; SAUVAGINE;

AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; BIOLOGICAL ACTIVITY; GENETIC ALGORITHM; KERNEL METHOD; PARTICLE SWARM OPTIMIZATION ALGORITHM; PHYSICAL CHEMISTRY; PRIORITY JOURNAL; PROTEIN STRUCTURE; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REACTOR OPTIMIZATION; STRUCTURAL EQUATION MODELING; SUPPORT VECTOR MACHINE;

ALGORITHMS; MODELS, MOLECULAR; PEPTIDES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 77956286706     PISSN: 10933263     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmgm.2010.06.002     Document Type: Article

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