Thomas B. Knudsen , Richard M. Spencer , Jocylin D. Pierro , Nancy C. Baker
{"title":"Computational biology and in silico toxicodynamics","authors":"Thomas B. Knudsen , Richard M. Spencer , Jocylin D. Pierro , Nancy C. Baker","doi":"10.1016/j.cotox.2020.11.001","DOIUrl":null,"url":null,"abstract":"<div><p>New approach methodologies (NAMs) refer to any non-animal technology, methodology, approach, or combination thereof that can be used to provide information on chemical hazard and risk assessment that avoids the use of intact animals. A spectrum of <em>in silico</em><span> models is needed for the integrated analysis of various domains in toxicology to improve predictivity and reduce animal testing. This review focuses on </span><em>in silico</em><span> approaches, computer models, and computational intelligence for developmental and reproductive toxicity<span> (predictive DART), providing a means to measure toxicodynamics in simulated systems for quantitative prediction of adverse outcomes phenotypes.</span></span></p></div>","PeriodicalId":37736,"journal":{"name":"Current Opinion in Toxicology","volume":"23 ","pages":"Pages 119-126"},"PeriodicalIF":3.6000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.cotox.2020.11.001","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S246820202030067X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TOXICOLOGY","Score":null,"Total":0}
引用次数: 5
Abstract
New approach methodologies (NAMs) refer to any non-animal technology, methodology, approach, or combination thereof that can be used to provide information on chemical hazard and risk assessment that avoids the use of intact animals. A spectrum of in silico models is needed for the integrated analysis of various domains in toxicology to improve predictivity and reduce animal testing. This review focuses on in silico approaches, computer models, and computational intelligence for developmental and reproductive toxicity (predictive DART), providing a means to measure toxicodynamics in simulated systems for quantitative prediction of adverse outcomes phenotypes.
期刊介绍：
The aims and scope of Current Opinion in Toxicology is to systematically provide the reader with timely and provocative views and opinions of the highest qualified and recognized experts on current advances in selected topics within the field of toxicology. The goal is that Current Opinion in Toxicology will be an invaluable source of information and perspective for researchers, teachers, managers and administrators, policy makers and students. Division of the subject into sections: For this purpose, the scope of Toxicology is divided into six selected high impact themed sections, each of which is reviewed once a year: Mechanistic Toxicology, Metabolic Toxicology, Risk assessment in Toxicology, Genomic Toxicology, Systems Toxicology, Translational Toxicology.
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