Literature DB >> 29934893

Molecular Docking for Predictive Toxicology.

Daniela Trisciuzzi1, Domenico Alberga1, Francesco Leonetti1, Ettore Novellino2, Orazio Nicolotti3, Giuseppe F Mangiatordi4.   

Abstract

Molecular docking is an in silico method widely applied in drug discovery programs to predict the binding mode of a given molecule interacting with a specific biological target. This computational technique is today emerging also in the field of predictive toxicology for regulatory purposes, being for instance successfully applied to develop classification models for the prediction of the endocrine disruptor potential of chemicals. Herein, we describe the protocol for adapting molecular docking to the purposes of predictive toxicology.

Keywords:  Applicability domain; Classification model; Endocrine potential; Molecular docking; Predictive toxicology

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Year:  2018        PMID: 29934893     DOI: 10.1007/978-1-4939-7899-1_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Structure-Based Prediction of hERG-Related Cardiotoxicity: A Benchmark Study.

Authors:  Teresa Maria Creanza; Pietro Delre; Nicola Ancona; Giovanni Lentini; Michele Saviano; Giuseppe Felice Mangiatordi
Journal:  J Chem Inf Model       Date:  2021-09-10       Impact factor: 6.162

2.  In Silico Predictions of Endocrine Disruptors Properties.

Authors:  Melanie Schneider; Jean-Luc Pons; Gilles Labesse; William Bourguet
Journal:  Endocrinology       Date:  2019-11-01       Impact factor: 4.736

  2 in total

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