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QSAR and Combinatorial Science

Volumn 26, Issue 3, 2007, Pages 307-316

Accurate prediction of the folding rate for two-state proteins based on amino acid sequences

(5) Zhao, Chunyan a Zhu, Yu b Zhang, Haixia a Liu, Mancang a Fan, Botao c

a LANZHOU UNIVERSITY (China)

b GanSu Broadcast Television Net Company (GSBTN) (China)

c UNIVERSITÉ PARIS DIDEROT (France)

Author keywords

Amino acid; Heuristic method; Protein folding; Radial basis function neural network; Support vector machine

Indexed keywords

HEURISTIC METHODS; PROTEIN FOLDING; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES; TOPOLOGY; VECTORS;

AMINO-ACIDS; DESCRIPTORS; FOLDING BEHAVIOR; FOLDING RATES; PREDICTIVE MODELS; PROTEIN FOLDINGS; RADIAL BASIS FUNCTION NEURAL NETWORKS (RBF); SUPPORT VECTOR MACHINE METHOD; SUPPORT VECTORS MACHINE; TWO-STATE;

AMINO ACIDS;

AMINO ACID; PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; ENTROPY; NERVE CELL NETWORK; PRIORITY JOURNAL; PROTEIN FOLDING; SUPPORT VECTOR MACHINE;

EID: 34250681022 PISSN: 1611020X EISSN: 16110218 Source Type: Journal
DOI: 10.1002/qsar.200510168 Document Type: Article

Times cited : (1)

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