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

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    0538137 - ÚMG 2021 RIV GB eng J - Journal Article
    Cortes-Ciriano, I. - Škuta, Ctibor - Bender, A. - Svozil, Daniel
    QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction.
    Journal of Cheminformatics. Roč. 12, č. 1 (2020), č. článku 41. ISSN 1758-2946. E-ISSN 1758-2946
    R&D Projects: GA MŠk LM2015063
    Institutional support: RVO:68378050
    Keywords : qsar * Affinity fingerprints * ChEMBL * Bioactivity modeling * Cytotoxicity * Drug sensitivity prediction * Drug sensitivity
    Subject RIV: EB - Genetics ; Molecular Biology
    OBOR OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 5.514, year: 2020
    https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00444-5
    Permanent Link: http://hdl.handle.net/11104/0315960
     
     
Number of the records: 1