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  1. 1.
    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
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 5.514, year: 2020
    Method of publishing: Open access
    https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00444-5
    Permanent Link: http://hdl.handle.net/11104/0315960
     
     
  2. 2.
    0442717 - ÚŽFG 2015 RIV eng P - Patent Document
    Kollareddy, M. R. - Hajdúch, M. - Džubák, P. - Srovnal, J. - Hrabáková, Rita - Kovářová, Hana
    Method of determination of cancer cell drug sensitivity towards Aurora kinase inhibitors and overcoming their resistance.
    2013. Owner: Univerzita Palackého v Olomouci, Ústav živočišné fyziologie a genetiky AV ČR, v. v. i. Date of the patent acceptance: 12.06.2013. Patent Number: EP2602330 (A1)
    R&D Projects: GA MŠk ED2.1.00/03.0124
    Institutional support: RVO:67985904
    Keywords : cancer cell drug sensitivity * Aurora Kinase
    Subject RIV: FD - Oncology ; Hematology
    http://worldwide.espacenet.com/publicationDetails/biblio?CC=EP&NR=2602330
    Permanent Link: http://hdl.handle.net/11104/0245561