Computational Toxicology for Environmental Criteria/Benchmarks of Emerging Contaminants
A special issue of Toxics (ISSN 2305-6304). This special issue belongs to the section "Novel Methods in Toxicology Research".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 1834
Special Issue Editors
Interests: environmental criteria and risk assessment of emerging contaminants; machine learning; QSAR
Interests: environmental behavior and ecological effects of emerging contaminants; environmental remediation and safety
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Hundreds of millions of chemicals have entered the environment as a result of industrialization; however, the understanding of their ecological and health hazards is still very limited. In particular, emerging contaminants such as micro/nanoplastics, endocrine-disrupting chemicals (EDCs), and persistent organic pollutants (POPs) are in urgent need of environmental management. The rapid development of computational toxicology is bridging the data gap and providing effective solutions for the comprehensive assessment of hazards. Compared with traditional toxicology experiments, computational toxicology has several advantages, including cost-effectiveness, biologically friendliness, and low hardware platform requirements. Therefore, computational toxicology is expected to become a new driving force for the innovative development of toxicology-based environmental criteria and risk assessments.
This Special Issue invites contributions from diverse computational toxicological modeling studies pertaining to environmental criteria/benchmarks and risk assessments. We strongly encourage submissions on all relevant topics including the virtual screening of preferential controlled pollutants, quantitative structure–activity relationships (QSARs), simulations of toxicological mechanisms, the modeling of internal and external exposure, interspecies differences, and environmental impacts on the bioavailability of emerging pollutants, as well as their environmental geochemical behaviors. The scope of research also includes new approaches for environmental criterion development, uncertainty analysis in risk assessments, and life cycle risk assessments. Further, contributions originating from meta-analyses based on the present datasets are also embraced for inclusion in this Special Issue.
Dr. Yunsong Mu
Dr. Jing Liu
Dr. Huiming Cao
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Toxics is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- emerging contaminants
- computational toxicology
- predictive model
- QSAR
- machine learning
- molecular simulation
- criteria/benchmark
- risk assessment
- uncertainty analysis
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