CORAL Software: Analysis of Impacts of Pharmaceutical Agents Upon Metabolism via the Optimal Descriptors

Title:CORAL Software: Analysis of Impacts of Pharmaceutical Agents Upon Metabolism via the Optimal Descriptors

Volume: 18 Issue: 6

Author(s): Mariya A. Toropova, Ivan Raska Jr, Alla P. Toporova*Maria Raskova

Affiliation:

• Laboratory of Environmental Chemistry and Toxicology, IRCCS - Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa 19, 20156 Milano,Italy

Keywords: Metabolism, toxicology, pharmacology, QSAR, CORAL, validation, OECD principle.

Abstract: Backgrounds: The CORAL software has been developed as a tool to build up quantitative structure– activity relationships (QSAR) for various endpoints.

Objective: The task of the present work was to estimate and to compare QSAR models for biochemical activity of various therapeutic agents, which are built up by the CORAL software.

Method: The Monte Carlo technique gives possibility to build up predictive model of an endpoint by means of selection of so-called correlation weights of various molecular features extracted from simplified molecular input-line entry system (SMILES). Descriptors calculated with these weights are basis for building up correlations "structure – endpoint".

Results: Optimal descriptors, which are aimed to predict values of endpoints with apparent influence upon metabolism are crytically compared in aspect of their robustness and heuristic potential. Arguments which are confirming the necessity of reformulation of basics of QSARs are listed: (i) each QSAR model is stochastic experiment. The result of this experiment is defined by distribution into the training set and validation set; (ii) predictive potential of a model should be checked up with a group of different splits; and (iii) only model stochastically stable for a group of splits can be estimated as a reliable tool for the prediction. Examples of the improvement of the models previously suggested are demonstrated.

Conclusion: The current version of the CORAL software remains a convenient tool to build up predictive models. The Monte Carlo technique involved for the software confirms the principle “QSAR is a random event” is important paradigm for the QSPR/QSAR analyses.

Cite this article as:

Toropova A. Mariya , Raska Jr Ivan , Toporova P. Alla *, Raskova Maria , CORAL Software: Analysis of Impacts of Pharmaceutical Agents Upon Metabolism via the Optimal Descriptors, Current Drug Metabolism 2017; 18 (6) . https://dx.doi.org/10.2174/1389200218666170301105916

DOI https://dx.doi.org/10.2174/1389200218666170301105916	Print ISSN 1389-2002
Publisher Name Bentham Science Publisher	Online ISSN 1875-5453