Narodna in univerzitetna knjižnica, Ljubljana (NUK)
Naročanje gradiva za izposojo na dom
Naročanje gradiva za izposojo v čitalnice
Naročanje kopij člankov
Urnik dostave gradiva z oznako DS v signaturi
  • Linear vs. non-linear modelling : case study : modelling of binding affinity of inhibitors to trypsin
    Zupan, Jure, 1979- ; Župerl, Špela
    On the set of 53 trypsin inhibitors the affinity to the covalent bound ligandsis modeled using linear (MLR) and non-linear (ANN) methods. Each compound is represented by 343 chemical descriptors. The ... hypothesis was that linear models are not sufficiently flexible to yield the best model, because in MLR (multiple regression analysis) the number of variables (descriptors) is limited by the number of objects in the training set. On the other hand the CP-ANN (counterpropagation- artificial neural network) is not limited by this restriction and can thus involve larger number of variables than there are compounds in the training set. Both methods are applied on the same division of 53 compounds on the training, test, and validation sets. In a systematic GA (genetic algorithm) search the MLR models containing all possible forms of linear polynomials, i.e., from 3 to 25 variables were scanned and no better model that one obtained by the CP-ANN model was found.
    Vir: Acta chimica slovenica. - ISSN 1318-0207 (Vol. 58, no. 3, 2011, str. 485-491)
    Vrsta gradiva - članek, sestavni del
    Leto - 2011
    Jezik - angleški
    COBISS.SI-ID - 4798490

    Povezava(-e):

    http://acta.chem-soc.si/58/58-3-485.pdf
    Digitalna knjižnica Slovenije - dLib.si

vir: Acta chimica slovenica. - ISSN 1318-0207 (Vol. 58, no. 3, 2011, str. 485-491)

loading ...
loading ...
loading ...

Vnos na polico