Prediction of protein folding rates from primary sequences using hybrid sequence representation

Journal of Computational Chemistry

Volumn 30, Issue 5, 2009, Pages 772-783

  Jiang, Yingfu ^a   Iglinski, Paul ^a   Kurgan, Lukasz ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Linear regression; Multistate folding kinetics; Protein folding rates; Sequence based prediction; Two state folding kinetics

Indexed keywords

FOLDING DYNAMICS; FOLDING MECHANISMS; FOLDING PROCESS; FOLDING RATES; HYBRID SEQUENCES; LINEAR REGRESSION MODELS; MULTISTATE FOLDING KINETICS; NOVEL METHODS; PHYSIO-CHEMICAL PROPERTIES; PREDICTION METHODS; PREDICTION MODELS; PRIMARY SEQUENCES; PROTEIN FOLDING RATES; PROTEIN SEQUENCES; SECONDARY STRUCTURES; SEQUENCE-BASED PREDICTION; STRONG CORRELATIONS; STRUCTURE-BASED; TWO-STATE FOLDING KINETICS;

FORECASTING; KINETIC ENERGY; LINEAR REGRESSION;

PROTEIN FOLDING;

PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; CHEMICAL MODEL; CHEMISTRY; COMPARATIVE STUDY; KINETICS; PROTEIN FOLDING; STRUCTURE ACTIVITY RELATION;

AMINO ACID SEQUENCE; KINETICS; MODELS, CHEMICAL; PROTEIN FOLDING; PROTEINS; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 64549141572     PISSN: 01928651     EISSN: 1096987X     Source Type: Journal    
DOI: 10.1002/jcc.21096     Document Type: Article

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