ISuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset

Analytical Biochemistry

Volumn 497, Issue , 2016, Pages 48-56

  Jia, Jianhua ^a   Liu, Zi ^a   Xiao, Xuan ^a,b   Liu, Bingxiang ^a   Chou, Kuo Chen ^b,c  

^a JINGDEZHEN CERAMIC INSTITUTE   (China)

^b GORDON LIFE SCIENCE INSTITUTE   (United States)

^c KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Lysine succinylation; Optimize training dataset; PseAAC; Sequence coupling model; Target cross validation

Indexed keywords

AMINO ACIDS; NEAREST NEIGHBOR SEARCH;

COUPLING MODELING; CROSS VALIDATION; PSEAAC; SUCCINYLATION; TRAINING DATASET;

PROTEINS;

AMINO ACID; HUMAN IMMUNODEFICIENCY VIRUS PROTEINASE; LYSINE; PEPTIDE; PROTEIN; SUCCINIC ACID DERIVATIVE;

AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; COMPUTER PROGRAM; COUPLING FACTOR; DNA SEQUENCE; GENETIC CODE; INFORMATION PROCESSING; INTERNET; K NEAREST NEIGHBOR; LYSINE SUCCINYLATION; PREDICTION; PRIORITY JOURNAL; PROTEIN PROCESSING; PROTEIN PROTEIN INTERACTION; RANDOM FOREST; RNA SEQUENCE; ALGORITHM; ANIMAL; ARTIFICIAL INTELLIGENCE; CHEMISTRY; HUMAN; PROTEIN DATABASE; SOFTWARE;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; DATABASES, PROTEIN; HUMANS; INTERNET; LYSINE; PROTEINS; SOFTWARE; SUCCINATES;

EID: 84961384421     PISSN: 00032697     EISSN: 10960309     Source Type: Journal    
DOI: 10.1016/j.ab.2015.12.009     Document Type: Article

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