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Prediction of Protein Stability Changes Upon One-point Mutations Using Machine Learning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00232792" target="_blank" >RIV/68407700:21230/15:00232792 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Prediction of Protein Stability Changes Upon One-point Mutations Using Machine Learning

  • Original language description

    Thios paper describes a new approach to the detection of protein stability change upon amino acid mutations. The main goal is to create a new meta-tool, which combines the outputs of eight well-estabilished prediction tools and due to a suitable method of consensus making, it is able to improve the overal predicition accuracy.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceeding of the 2015 Research in Adaptive and Convergent Systems (RACS 2015)

  • ISBN

    978-1-4503-3738-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    102-107

  • Publisher name

    ACM

  • Place of publication

    New York

  • Event location

    Prague

  • Event date

    Oct 9, 2015

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article