| Literature DB >> 30149907 |
Gabriela Gómez-Jiménez1, Karla Gonzalez-Ponce1, Durbis J Castillo-Pazos1, Abraham Madariaga-Mazon1, Joaquin Barroso-Flores1, Fernando Cortes-Guzman1, Karina Martinez-Mayorga2.
Abstract
The steps followed in the knowledge discovery in databases (KDD) process are well documented and are widely used in different areas where exploration of data is used for decision making. In turn, while different workflows for developing quantitative structure-activity relationship (QSAR) models have been proposed, including combinatorial use of QSAR, there is now agreement on common requirements for building trustable predictive models. In this work, we analyze and confront the steps involved in KDD and QSAR and present how they comply with the OECD principles for the validation, for regulatory purposes, of QSAR models.Keywords: Knowledge discovery on databases; OECD principles; QSAR; Regulation; Toxicity
Mesh:
Year: 2018 PMID: 30149907 DOI: 10.1016/bs.apcsb.2018.04.001
Source DB: PubMed Journal: Adv Protein Chem Struct Biol ISSN: 1876-1623 Impact factor: 3.507