PuSH - Publikationsserver des Helmholtz Zentrums München

Novotarskyi, S.* ; Abdelaziz, A.* ; Sushko, Y.* ; Körner, R.* ; Vogt, J.* ; Tetko, I.V.

ToxCast EPA in vitro to in vivo challenge: Insight into the rank-I model.

Chem. Res. Toxicol. 29, 768-775 (2016)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
The ToxCast EPA challenge was managed by TopCoder in Spring 2014. The goal of the challenge was to develop a model to predict the lowest effect level (LEL) concentration based on in vitro measurements and calculated in silico descriptors. This article summarizes the computational steps used to develop the Rank-I model, which calculated the lowest prediction error for the secret test data set of the challenge. The model was developed using the publicly available Online CHEmical database and Modeling environment (OCHEM), and it is freely available at http://ochem.eu/article/68104 . Surprisingly, this model does not use any in vitro measurements. The logic of the decision steps used to develop the model and the reason to skip inclusion of in vitro measurements is described. We also show that inclusion of in vitro assays would not improve the accuracy of the model.
Altmetric
Weitere Metriken?
[➜Einloggen]
Zusatzinfos bearbeiten [➜Einloggen]
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Artificial Neural-networks; Variable Selection; Applicability Domain; Qsar Models; Descriptors; Complexes; Molecules; Toxicity; Pt(ii); Tools
ISSN (print) / ISBN 0893-228X
e-ISSN 1520-5010
Zeitschrift Chemical Research in Toxicology
Quellenangaben Band: 29, Heft: 5, Seiten: 768-775 Artikelnummer: , Supplement: ,
Verlag American Chemical Society (ACS)
Verlagsort Washington
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Structural Biology (STB)