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QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction

  1. 1.
    SYSNO0538137
    TitleQSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction
    Author(s) Cortes-Ciriano, I. (GB)
    Škuta, Ctibor (UMG-J) [38]
    Bender, A. (GB)
    Svozil, Daniel (UMG-J) [38]
    Source Title Journal of Cheminformatics. Roč. 12, č. 1 (2020). - : Chemistry Central
    Article number41
    Document TypeČlánek v odborném periodiku
    Grant LM2015063 GA MŠk - Ministry of Education, Youth and Sports (MEYS)
    Institutional supportUMG-J - RVO:68378050
    Languageeng
    CountryGB
    Keywords qsar * Affinity fingerprints * ChEMBL * Bioactivity modeling * Cytotoxicity * Drug sensitivity prediction * Drug sensitivity
    URLhttps://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00444-5
    Permanent Linkhttp://hdl.handle.net/11104/0315960
     
Number of the records: 1