USP Electronic Research Repository

Opal+: length - specific MoRF prediction in intrinsically disordered protein sequences

Sharma, Ronesh and Sharma, Alokanand and Raicar, Gaurav and Tsunoda, Tatsuhiko and Patil, Ashwini (2018) Opal+: length - specific MoRF prediction in intrinsically disordered protein sequences. Proteomics, 180005 . pp. 1-4. ISSN 1615-9853

[img]
Preview
PDF - Published Version
Download (295Kb) | Preview

    Abstract

    Intrinsically disordered proteins (IDPs) contain long unstructured regions, which play an important role in their function. These intrinsically disordered regions (IDRs) participate in binding events through regions called molecular recognition features (MoRFs). Computational prediction of MoRFs helps identify the potentially functional regions in IDRs. In this study, OPAL+, a novel MoRF predictor, is presented. OPAL+ uses separate models to predict MoRFs of varying lengths along with incorporating the hidden Markov model (HMM) profiles and physicochemical properties of MoRFs and their flanking regions. Together, these features help OPAL+ achieve a marginal performance improvement of 0.4-0.7% over its predecessor for diverse MoRF test sets. This performance improvement comes at the expense of increased run time as a result of the requirement of HMM profiles. OPAL+ is available for download at https://github.com/roneshsharma/OPAL-plus/wiki/OPAL-plus-Download.

    Item Type: Journal Article
    Subjects: Q Science > Q Science (General)
    Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
    Depositing User: Alokanand Sharma
    Date Deposited: 20 Feb 2019 16:04
    Last Modified: 20 Feb 2019 16:04
    URI: http://repository.usp.ac.fj/id/eprint/11317
    UNSPECIFIED

    Actions (login required)

    View Item

    Document Downloads

    More statistics for this item...