Marta Adinolfi

Fonte dei dati: Archivio della Ricerca http://art.torvergata.it
  1. Adinolfi, M., Pietrosanto, M., Parca, L., Ausiello, G., Ferre, F., & Helmer-Citterich, M. (2019). Discovering sequence and structure landscapes in RNA interaction motifs. NUCLEIC ACIDS RESEARCH, 47(10), 4958-4969. Dettagli

    10.1093/nar/gkz250

    Citazione
    Adinolfi, M., Pietrosanto, M., Parca, L., Ausiello, G., Ferre, F., & Helmer-Citterich, M. (2019). Discovering sequence and structure landscapes in RNA interaction motifs. NUCLEIC ACIDS RESEARCH, 47(10), 4958-4969.
    Data
    2019-06-04
    id
    PUBBLICAZIONE_351301
    Tipologia
    Articolo su rivista
    SSD
    Settore BIO/11
    metadata4
    RNA molecules are able to bind proteins, DNA and other small or long RNAs using information at primary, secondary or tertiary structure level. Recent techniques that use cross-linking and immunoprecipitation of RNAs can detect these interactions and, if followed by high-throughput sequencing, molecules can be analysed to find recurrent elements shared by interactors, such as sequence and/or structure motifs. Many tools are able to find sequence motifs from lists of target RNAs, while others focus on structure using different approaches to find specific interaction elements. In this work, we make a systematic analysis of RBP-RNA and RNA-RNA datasets to better characterize the interaction landscape with information about multi-motifs on the same RNAs. To achieve this goal, we updated our BEAM algorithm to combine both sequence and structure information to create pairs of patterns that model motifs of interaction. This algorithm was applied to several RNA binding proteins and ncRNAs interactors, confirming already known motifs and discovering new ones. This landscape analysis on interaction variability reflects the diversity of target recognition and underlines that often both primary and secondary structure are involved in molecular recognition.
    Tutti gli Autori
    Discovering sequence and structure landscapes in RNA interaction motifs
    tipologia
    Adinolfi, M; Pietrosanto, M; Parca, L; Ausiello, G; Ferre, F; Helmer-Citterich, M
  2. Pietrosanto, M., Adinolfi, M., Casula, R., Ausiello, G., Ferre, F., & Helmer-Citterich, M. (2018). BEAM web server: A tool for structural RNA motif discovery. BIOINFORMATICS, 34(6), 1058-1060. Dettagli