Prediction and analysis of protein methylarginine and methyllysine based on Multisequence features

Biopolymers

Volumn 95, Issue 11, 2011, Pages 763-771

  Hu, Le Le ^a   Li, Zhen ^b   Wang, Kai ^a   Niu, Shen ^c   Shi, Xiao He ^d   Cai, Yu Dong ^a   Li, Hai Peng ^c  

^a SHANGHAI UNIVERSITY   (China)

^b Tongji University School of Medicine   (China)

^c Chinese Academy of Sciences   (China)

^d SHANGHAI JIAO TONG UNIVERSITY SCHOOL OF MEDICINE   (China)

Author keywords

incremental feature selection; maximum relevance minimum redundancy; methylarginine; methyllysine

Indexed keywords

CELLULAR PROCESS; COMPUTATIONAL PREDICTIONS; CROSS VALIDATION; EVOLUTIONARY INFORMATION; EXPERIMENTAL METHODS; FEATURE ANALYSIS; FEATURE SELECTION METHODS; INCREMENTAL FEATURE SELECTION; LYSINE RESIDUES; MAXIMUM RELEVANCE MINIMUM REDUNDANCY; METHYLARGININE; METHYLLYSINE; MOLECULAR MECHANISM; POST-TRANSLATIONAL MODIFICATIONS; PREDICTION ACCURACY; PREDICTION AND ANALYSIS; PREDICTION MODEL; SEQUENCE CONSERVATION; STRUCTURAL DISORDERS; TRAINING SETS;

ALKYLATION; AMINO ACIDS; FORECASTING; MATHEMATICAL MODELS; METHYLATION; PROTEINS; REDUNDANCY;

FEATURE EXTRACTION;

ARGININE DERIVATIVE; LYSINE DERIVATIVE; METHYLARGININE; METHYLLYSINE; PROTEIN; UNCLASSIFIED DRUG;

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; BIOCHEMICAL COMPOSITION; EVOLUTIONARY INFORMATION; INTRINSIC DISORDER REGION; JACKKNIFE TEST; MACHINE LEARNING; PHYSICAL CHEMISTRY; PREDICTION; PREDICTIVE VALUE; PREDICTOR VARIABLE; PROTEIN ANALYSIS; PROTEIN METHYLATION; PROTEIN STRUCTURE; REDUNDANCY ANALYSIS; SEQUENCE ANALYSIS; TECHNIQUE;

ARGININE; LYSINE; METHYLATION; MODELS, BIOLOGICAL;

EID: 80052270301     PISSN: 00063525     EISSN: 10970282     Source Type: Journal    
DOI: 10.1002/bip.21645     Document Type: Article

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