Quantifying sequence and structural features of protein-RNA interactions

Nucleic Acids Research

Volumn 42, Issue 15, 2014, Pages 10086-10098

  Li, Songling ^a   Yamashita, Kazuo ^a   Amada, Karlou Mar ^a   Standley, Daron M ^a  

^a OSAKA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; AMINO ACID SEQUENCE; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BINDING AFFINITY; BINDING SITE; CONTROLLED STUDY; GENETIC CONSERVATION; HIDDEN MARKOV MODEL; HYDROGEN BOND; MACHINE LEARNING; MOLECULAR DOCKING; MOLECULAR DYNAMICS; NOISE; ONLINE SYSTEM; PHYSICAL CHEMISTRY; PREDICTIVE VALUE; PRIORITY JOURNAL; PROTEIN RNA BINDING; PROTEIN SECONDARY STRUCTURE; QUALITY CONTROL; QUANTITATIVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; REFERENCE VALUE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; SEQUENCE HOMOLOGY; SOFTWARE; STATISTICAL ANALYSIS; STRUCTURAL NOISE; STRUCTURE ACTIVITY RELATION; STRUCTURE ANALYSIS; SURFACE DEFORMATIONS BASED ON THE LAPLACIAN NORM FORMALISM; VALIDATION PROCESS; ALGORITHM; ARTIFICIAL INTELLIGENCE; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER PROGRAM; METABOLISM; STRUCTURAL HOMOLOGY;

AMINO ACID; PROTEIN BINDING; RNA; RNA BINDING PROTEIN;

ALGORITHMS; AMINO ACIDS; ARTIFICIAL INTELLIGENCE; BINDING SITES; MODELS, MOLECULAR; PROTEIN BINDING; PROTEIN STRUCTURE, SECONDARY; RNA; RNA-BINDING PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE; STRUCTURAL HOMOLOGY, PROTEIN;

EID: 84929652993     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gku681     Document Type: Article

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