ArticleEnvironmental health perspectives2010
Computational toxicology: realizing the promise of the toxicity testing in the 21st century.
Article in Environmental health perspectives, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- A Computational Framework to Evaluate Interactions of BPA and Its Analogs with Human Liver X Receptor-Beta for Health Risk Assessment.Chemical research in toxicology · 2026Article
- Recent Advances in Omics, Computational Models, and Advanced Screening Methods for Drug Safety and Efficacy.Toxics · 2024Review
- The digital evolution in toxicology: pioneering computational education for emerging challenges.BMC medical education · 2024Article
- Naringenin Nanoformulations for Neurodegenerative Diseases.Current pharmaceutical biotechnology · 2024Review
- Artificial intelligence in microbial natural product drug discovery: current and emerging role.Natural product reports · 2022Review
- Article
- Investigating the Generalizability of the MultiFlow ® DNA Damage Assay and Several Companion Machine Learning Models With a Set of 103 Diverse Test Chemicals.Toxicological sciences : an official journal of the Society of Toxicology · 2018Article
- The Impact of Novel Assessment Methodologies in Toxicology on Green Chemistry and Chemical Alternatives.Toxicological sciences : an official journal of the Society of Toxicology · 2018Review
- Nanomedicine: Principles, Properties, and Regulatory Issues.Frontiers in chemistry · 2018Review
- From the exposome to mechanistic understanding of chemical-induced adverse effects.Environment international · 2017Review
- Improving the prediction of organism-level toxicity through integration of chemical, protein target and cytotoxicity qHTS data.Toxicology research · 2016Article
- Age matters: Developmental stage of Danio rerio larvae influences photomotor response thresholds to diazinion or diphenhydramine.Aquatic toxicology (Amsterdam, Netherlands) · 2016Article
- Population-based in vitro hazard and concentration-response assessment of chemicals: the 1000 genomes high-throughput screening study.Environmental health perspectives · 2015Article
- Predicting the future: opportunities and challenges for the chemical industry to apply 21st-century toxicity testing.Journal of the American Association for Laboratory Animal Science : JAALAS · 2015Article
- Stage-specific signaling pathways during murine testis development and spermatogenesis: A pathway-based analysis to quantify developmental dynamics.Reproductive toxicology (Elmsford, N.Y.) · 2015Article
- Systems Biology and Biomarkers of Early Effects for Occupational Exposure Limit Setting.Journal of occupational and environmental hygiene · 2015Article
- Bioinformatics opportunities for identification and study of medicinal plants.Briefings in bioinformatics · 2013Review
- Manipulating In-House Designed Drug Databases For The Prediction of pH-Dependent Aqueous Drug Solubility.American journal of health sciences · 2013Article
- Predictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay data.Toxicological sciences : an official journal of the Society of Toxicology · 2012Article
- Accelerating the development of 21st-century toxicology: outcome of a Human Toxicology Project Consortium workshop.Toxicological sciences : an official journal of the Society of Toxicology · 2012Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
backgroundThe National Academies' Standing Committee on Use of Emerging Science for Environmental Health Decisions held a meeting (21-22 September 2009 in Washington, DC) titled "Computational Toxicology: From Data to Analyses to Applications." This commentary reflects on the presentations and roundtable discussions from the meeting that were designed to review the state of the art in the field and the practical applications of the new science and to provide focus to the field.
objectivesThe meeting considered two topics: the emerging data streams amenable to computational modeling and data mining, and the emerging data analysis and modeling tools. DISCUSSION: Computational toxicology is a subdiscipline of toxicology that aims to use the mathematical, statistical, modeling, and computer science tools to better understand the mechanisms through which a given chemical induces harm and, ultimately, to be able to predict adverse effects of the toxicants on human health and/or the environment. The participants stressed the importance of computational toxicology to the future of environmental health sciences and regulatory decisions in public health; however, many challenges remain to be addressed before the findings from high-throughput screens and in silico models may be considered sufficiently robust and informative.
conclusionsMany scientists, regulators, and the general public believe that new and better ways to assess human toxicity are now needed, and technological breakthroughs are empowering the field of toxicity assessment. Even though the application of computational toxicology to environmental health decisions requires additional efforts, the merger of the power of computers with biological information is poised to deliver new tools and knowledge.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.