Computational Toxicology (CT)

Computational Toxicology is an international peer‑reviewed scientific journal published by Elsevier that focuses on the development and application of computational methods to address questions in toxicology, chemical safety, and risk assessment. The journal publishes original research, review articles, and methodological papers that advance the use of in‑silico techniques, modeling and simulation frameworks to understand chemical hazards, biological responses to toxic exposures, and predictive toxicological outcomes. Research topics include quantitative structure–activity relationships (QSARs), physiologically‑based pharmacokinetic (PBPK) models, physiologically‑based toxicokinetic (PBTK) simulations, multi‑scale modeling, read‑across approaches, adverse outcome pathways (AOPs), big data integration, and machine learning applications in toxicology. Articles also cover regulatory science aspects, model validation, and the integration of computational frameworks into safety evaluations for pharmaceuticals, industrial chemicals, food and cosmetic ingredients, and environmental exposures. Serving researchers across toxicology, computational biology, cheminformatics, and regulatory science, the journal fosters discussions at the intersection of data science and toxicology to improve predictive accuracy, reduce reliance on animal testing, and support evidence‑based decision‑making in public health and environmental safety.

Computational Toxicology (CT) is :-

• International, Peer-Reviewed, Open Access, Refereed, Health, Toxicology and Mutagenesis, Computer Science Applications, Toxicology, All effects relating to human health and environmental toxicity and fate, Prediction of toxicity, metabolism, fate and physico-chemical properties, The development of models from read-across, Big Data in toxicology, Implementation of models through AOPs, IATA, TTC, From metals, to small organic molecules to nanoparticles , Online , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2468-1113, Established: 2017, Impact Factor: 2.9
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE