Toxicology Mechanisms and Methods (TMM)

Toxicology Mechanisms and Methods is a peer-reviewed journal whose aim is twofold. Firstly, the journal contains original research on subjects dealing with the mechanisms by which foreign chemicals cause toxic injury. Toxic chemical substances of interest include industrial compounds, environmental pollutants, hazardous wastes, drugs, pesticides, and chemical warfare agents. The scope of the journal spans from molecular and cellular mechanisms of action to the consideration of mechanistic evidence in establishing regulatory policy. Secondly, the journal addresses aspects of the development, validation, and application of new and existing laboratory methods, techniques, and equipment. A variety of research methods are discussed, including: The journal actively encourages submissions that explore the integration of AI into toxicological research and methodology. This includes: Scientific and methodological techniques using explained machine learning that investigate toxicological mechanisms of action. The use of AI and machine learning to predict toxicological outcomes and identify mechanisms of action of toxicity and hazard. Computational modeling techniques for predicting chemical toxicity and metabolism to enhance risk assessment and decision-making processes in chemical safety assessment. AI-driven approaches for identifying molecular targets and pathways of related organ-level toxicity. Utilization of AI as an automated scientific method for the automation and refinement of laboratory processes, including data collection and analysis techniques. In vivo studies with standard and alternative species In vitro studies and alternative methodologies In chemico approaches Molecular, biochemical, and cellular techniques Toxicokinetics and toxicodynamics In silico computational modeling techniques Risk assessment and risk management Research papers are encouraged to adequately characterize their evaluated substances.

Toxicology Mechanisms and Methods (TMM) is :-

• International, Peer-Reviewed, Open Access, Refereed, Toxicology, Molecular, biochemical, cellular techniques, Toxic chemical, industrial compounds, environmental pollutants, hazardous wastes, drugs, pesticides, Artificial Intelligence (AI) , Online or Print , 9-issues-year Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1537-6516, E-ISSN: 1537-6524, Established: 1991, Impact Factor: 2.8
• Provides Crossref DOI

• Indexed in: Scopus, WoS, PubMed

• Not indexed in DOAJ, UGC CARE