Literature DB >> 30149907

The OECD Principles for (Q)SAR Models in the Context of Knowledge Discovery in Databases (KDD).

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.
© 2018 Elsevier Inc. All rights reserved.

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


  2 in total

1.  DiaNat-DB: a molecular database of antidiabetic compounds from medicinal plants.

Authors:  Abraham Madariaga-Mazón; José J Naveja; José L Medina-Franco; Karla O Noriega-Colima; Karina Martinez-Mayorga
Journal:  RSC Adv       Date:  2021-01-28       Impact factor: 3.361

2.  Synthesis, In Silico and In Vitro Evaluation for Acetylcholinesterase and BACE-1 Inhibitory Activity of Some N-Substituted-4-Phenothiazine-Chalcones.

Authors:  Thai-Son Tran; Minh-Tri Le; Thi-Cam-Vi Nguyen; The-Huan Tran; Thanh-Dao Tran; Khac-Minh Thai
Journal:  Molecules       Date:  2020-08-27       Impact factor: 4.411

  2 in total

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