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CCTES 2018 - 2018 International Conference on Computational Chemistry and Toxicology in Environmental Science

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Category CCTES 2018

Deadline: March 01, 2018 | Date: May 04, 2018-May 06, 2018

Venue/Country: National Chung Hsing University, Taichung, Taiwan, Taiwan

Updated: 2018-01-23 15:44:19 (GMT+9)

Call For Papers - CFP


May 4, 2018 to May 6, 2018

National Chung Hsing University, Taichung, Taiwan

Conference Website: http:/

The conference registration starts.

Time for oral presentations is 25 minutes (recommended time is 20 minutes), and presenters are strongly advised to keep this in mind. In addition, there are 5 minutes for discussion with the audience, including changeover with the next presenter. Poster size is A0, vertical, 0.84×1.18 meters and contents are all in English.

Purpose and importance of CCTES:

Environmental protection, food safety and drug development are three topics of concern to researchers today. The three topics are concerning the toxicity of compounds. Computational and Prediction Toxicology is a comprehensive approach to biology, chemistry and informatics. We hope to accurately predict the toxicity of a large number of compounds in a short period of time. In particular, it is desirable to explain the toxicity mechanisms of compounds in organisms. Under the urgent need of two kinds of hope (prediction and explanation), the Chung Hsing University and Dalian University of Technology co-organized the 2016 Cross-Strait Predictive Toxicology Conference: Environment, Food and Health in Taiwan. As a result of this meeting, some foreign scholars will be invited to expand the convening of the conference. Expect more researchers and students interested in computational chemistry and toxicology to attend this meeting.

Computational and Predictive Toxicology is a very important tool for the lack of experimental data on chemical risk assessment. It is also consistent with the concept of experimental animal ethical principles. The US Environmental Protection Agency and the EU REACH regulation accept and encourage the quantitative structure-activity relationship (QSAR) method in computational toxicology. To simulate the chemical exposure process, chemical concentrations are estimated from chemical emissions to the environment using established and scaled environmental models. The amount of exposure to chemical inputs through environmental parameters is used to calculate chemical bioavailability and to quantitatively characterize chemical distribution patterns in a multimedia environment based on the role of chemicals and fluids in their transport and the fate of their diffusion and degradation in environmental media. Therefore, we included the theme of "Environmental Multimedia Models" at the 2018 conference, which is a major category of computational toxicology. In addition, we join the important session of Computational Chemistry, focusing on the basic knowledge of physical chemistry. Emphasis will be placed on the basic knowledge of physics, chemistry, geochemistry and atmospheric chemistry of environmental pollutants, molecular structure of natural particle-water Interface, and molecular simulation for green application of nanomaterials. It is hoped to quantitatively describe the transport and fate of chemicals based on the establishment of computational chemistry, physics and mathematical expressions.

(Call for abstracts, submission before March 1, 2018)

(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

Organizer: National Chung Hsing University

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


Professor Chia Ming Chang


Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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