Deciphering the preference and predicting the viability of circular permutations in proteins

PLoS ONE

Volumn 7, Issue 2, 2012, Pages

  Lo, Wei Cheng ^a,b   Dai, Tian ^a,c   Liu, Yen Yi ^b   Wang, Li Fen ^b   Hwang, Jenn Kang ^b   Lyu, Ping Chiang ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^c EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOTECHNOLOGY; BOOTSTRAPPING; CIRCULAR PERMUTATION; CONTROLLED STUDY; HYDROGEN BOND; HYDROPHOBICITY; MOLECULAR DYNAMICS; PREDICTION; PROTEIN FOLDING; PROTEIN FUNCTION; PROTEIN MODIFICATION; PROTEIN STABILITY; PROTEIN STRUCTURE; RANDOM FOREST; SIMULATION; SUPPORT VECTOR MACHINE; AMINO ACID SEQUENCE; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; PROTEIN ENGINEERING;

PROTEIN;

AMINO ACID SEQUENCE; COMPUTER SIMULATION; MODELS, MOLECULAR; PROTEIN ENGINEERING; PROTEINS; SUPPORT VECTOR MACHINES;

EID: 84863115565     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0031791     Document Type: Article

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