Number of the records: 1  

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

  1. 1.
    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
    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
    http://hdl.handle.net/11104/0315960
Number of the records: 1