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International Conference on Computational Chemistry and Toxicology in Environmental Science

Show Organizer (s): National Chung Hsing University
Event Date (s): 2018-05-04 -- 2018-05-06
Venue: -Library International Conference Hall , National Chung Hsing University
Address: 610 Sec. 4 Taiwan Boulevard, Taichung, 40764 Taiw
Contact Person: Ms Chia Ming Chang  (Professor)
Phone: 886-000-000000000
URL: http://theochem.wikispaces.com/

General Information

Purpose and importance of CCTES:

Environmental protection, food safety, and pharmaceutical development are three topics which nowaday researchers concern about. Three issues have the intersection on the toxicity of chemical compounds. Computational and predicted toxicology is a comprehensive method for biology, chemistry and informatics. We hope to accurately predict the toxicity of a large number of compounds in a short time. In particular, wishes to explain the toxic mechanism of chemical compounds in organisms. Under an urgent need of two kinds of hope (prediction and explanation), National Chung Hsing University and Dalian University of Technology co-organized 2016 Cross-Strait Predictive Toxicology Conference: Environment, Food, and Health in Taiwan. Due to the origin of this conference, it will invite a number of foreign scholars expand the scale of the holding of the conference. With an expect to more environmental computational chemistry and toxicology interested researchers and students to participate in this event.

Computational and predicted Toxicology is a very important tool to the lack of experimental data for chemical risk assessment. Also consistents with the concept of ethical principles of experimental animals. The United States Environmental Protection Agency and the European Union REACH regulations are accepted and encouraged in quantitative structure-activity relationships (QSAR) in computational toxicology. To simulate chemical exposure processes, starting from the emissions of chemicals into the environment, construction and scale of environmental models to estimate the concentration of chemicals. Enter the exposure through the environment parameter to calculate the intake of chemical biology, and based on chemicals with the fluid in the transmission and its application in environmental media diffusion and degradation into destiny can obtain quantitative description of the chemical distribution pattern in the multi-media environment. Therefore, we included the topics of "environmental multimedia model" in 2018 meeting, which are the importance of a large class of computational toxicology. Moreover, we add the "Environmental computational chemistry" discussion focuses on the basics of environmental physical-chemical and environmental geochemistry, computational chemistry of the atmospheric reactions of environmental pollutants. Focus on the basics of environmental physical-chemical and environmental geochemistry, atmospheric reactions of the computational chemistry of environmental pollutants. The molecular structure of natural particle-aqueous interfaces, as well as molecular simulation for green environmental applications of nanoscale materials. Wish to explore based on computational chemistry, construction of physics and mathematical expressions to quantitatively describe transport and fate of chemicals.

We will cooperate with an international QSAR journal "SAR QSAR Environ Res" (SCI indexed) to publish full scientific papers of oral and poster presentations in 2018.

(Call for abstracts, submission before August 15, 2017)

(The topics of interest include, but are not limited to):

Ⅰ.Environmental multimedia model

Environmental multimedia model

Pollutant transport model

Species sensitivity distribution evaluation

Environmental fate model

Ⅱ.Environmental Computational Chemistry

Computational chemistry of atmospheric reactions of environmental pollutants

Molecular structure of natural particle-aqueous solution interface

Computational environmental geochemistry

Molecular simulation for green environmental applications of nanoscale materials

Ⅲ.Computational Toxicology

Adverse outcome pathway approach in toxicology

Physiologically-based pharmacokinetic models

Toxicology database software design

Computational ecotoxicology and QSAR

Ⅳ.Predictive Toxicology

Acute toxicity and chronic toxicity

Endocrine disrupting effect, mutagenicity, and carcinogenicity

Integration of absorption, distribution, metabolism, excretion and toxicity to the predicted toxicology

Toxicology of genomics and proteomics to support predicted toxicology


Implementer: Department of Soil and Environmental Sciences, National Chung Hsing University

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