Robust prediction of mutation-induced protein stability change by property encoding of amino acids

Protein Engineering, Design and Selection

Volumn 22, Issue 2, 2009, Pages 75-83

  Kang, Shuli ^a   Chen, Gang ^b   Xiao, Gengfu ^a  

^a WUHAN UNIVERSITY   (China)

^b CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Amino acid property; Point mutation; Protein stability; Support vector machines

Indexed keywords

AMINO ACID PROPERTY; AMINO ACID SUBSTITUTIONS; CURRENT STATISTICAL MODELS; DATA SETS; ENCODING PROCESS; EXPERIMENTAL DATUM; LIMITED DATUM; MACHINE LEARNING METHODS; POINT MUTATION; PREDICTION ACCURACIES; PROTEIN STABILITY; THREE-CLASS CLASSIFICATIONS; TRAINING DATUM;

AMINES; AMINO ACIDS; ENCODING (SYMBOLS); FORECASTING; IMAGE RETRIEVAL; ORGANIC ACIDS; STABILITY; SUPPORT VECTOR MACHINES;

AMINATION;

AMINO ACID; PROTEIN;

ACCURACY; AMINO ACID COMPOSITION; AMINO ACID SUBSTITUTION; ARTICLE; CONTROLLED STUDY; GENETIC SELECTION; INDUCED MUTATION; MACHINE LEARNING; MUTATIONAL ANALYSIS; POINT MUTATION; PREDICTION; PREDICTOR VARIABLE; PRIORITY JOURNAL; PROTEIN STABILITY; PROTEIN STRUCTURE;

ALGORITHMS; AMINO ACID SEQUENCE; AMINO ACIDS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATABASES, PROTEIN; MODELS, MOLECULAR; PATTERN RECOGNITION, AUTOMATED; POINT MUTATION; PROTEIN CONFORMATION; PROTEIN STABILITY; PROTEINS; THERMODYNAMICS;

EID: 61849134386     PISSN: 17410126     EISSN: 17410134     Source Type: Journal    
DOI: 10.1093/protein/gzn063     Document Type: Article

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