IRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition

Analytical Biochemistry

Volumn 490, Issue , 2015, Pages 26-33

  Chen, Wei ^a,b   Feng, Pengmian ^a   Ding, Hui ^a   Lin, Hao ^b,c   Chou, Kuo Chen ^b,d  

^a NORTH CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b GORDON LIFE SCIENCE INSTITUTE   (United States)

^c UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^d KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Flexible scaled window; Global sequence pattern; Pseudo dinucleotide composition: PseKNC; RNA methylation

Indexed keywords

ALKYLATION; NUCLEOTIDES;

CROSS-VALIDATION TESTS; DINUCLEOTIDES; MATHEMATICAL DETAILS; NON-UNIFORM DISTRIBUTION; NUCLEOTIDE COMPOSITION; PHYSIO-CHEMICAL PROPERTIES; REGULATORY MECHANISM; SEQUENCE PATTERNS;

RNA;

6 N METHYLADENOSINE; ADENINE; CYTOSINE; DINUCLEOTIDE; FUNGAL RNA; GUANINE; URACIL; ADENOSINE; BACTERIAL RNA; MESSENGER RNA; METHYLTRANSFERASE; MRNA (2'-O-METHYLADENOSINE-N6-)-METHYLTRANSFERASE; N(6)-METHYLADENOSINE; SACCHAROMYCES CEREVISIAE PROTEIN;

AMINO ACID COMPOSITION; ARTICLE; CONTROLLED STUDY; FUNGAL GENOME; GENOME ANALYSIS; NONHUMAN; PHYSICAL CHEMISTRY; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE; PSEUDO DINUCLEOTIDE COMPOSITION; RNA METHYLATION; RNA SEQUENCE; SACCHAROMYCES CEREVISIAE; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; ALGORITHM; ANALOGS AND DERIVATIVES; BACTERIAL GENOME; BINDING SITE; CHEMICAL STRUCTURE; CHEMISTRY; ENTROPY; ENZYME SPECIFICITY; ENZYMOLOGY; EPIGENETICS; INTERNET; MACHINE LEARNING; METABOLISM; METHYLATION; NUCLEOTIDE MOTIF; PROCEDURES; REPRODUCIBILITY; RNA PROCESSING; VALIDATION STUDY;

ADENOSINE; ALGORITHMS; BINDING SITES; ENTROPY; EPIGENOMICS; GENOME, BACTERIAL; INTERNET; MACHINE LEARNING; METHYLATION; METHYLTRANSFERASES; MODELS, MOLECULAR; NUCLEOTIDE MOTIFS; REPRODUCIBILITY OF RESULTS; RNA PROCESSING, POST-TRANSCRIPTIONAL; RNA, BACTERIAL; RNA, MESSENGER; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; SUBSTRATE SPECIFICITY;

EID: 84942246769     PISSN: 00032697     EISSN: 10960309     Source Type: Journal    
DOI: 10.1016/j.ab.2015.08.021     Document Type: Article

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