Division Computers in Chemistry (CIC) of the German Chemical Society (GDCh)
Chemical Manufacturing
Frankfurt Am Main, Hessen, De
1 employees
- Employees
- 1
Division Computers in Chemistry (CIC) of the German Chemical Society (GDCh) Overview
- Headquarters
- Frankfurt Am Main, Hessen, De
- Website
- www.gdch.de
- Industry
- Chemical Manufacturing
- Employees
- 1
- Founded
- 1982
- NAICS
-
Chemical ManufacturingSoap, Cleaning Compound, and Toilet Preparation ManufacturingOther Chemical Product and Preparation Manufacturing
About Division Computers in Chemistry (CIC) of the German Chemical Society (GDCh)
Computers in Chemistry (CIC) is a division of the German Chemical Society (GDCh) that covers all aspects of computer-based generation, processing and documentation of information and knowledge in chemistry. Founded in 1982, CIC brings together scientists from various disciplines to foster and propel development and applications in this field, with particular emphasis on - current applications of computers in chemistry the annual German Conference on Chemoinformatics (CIC workshop) - promotion of chemoinformatics, computational chemistry and chemical information as part of the curriculum at universities and higher teaching institutions - support of working groups on particular aspects of interest to CIC - promoting cooperation and knowledge exchange between universities and industry - supporting the open source idea for the development of chemistry software in the academic environment - fostering the relationship between international institutions working in this field in particular to EuCheMS and ACS - usage of modern communication platforms like social networks The CIC division specifically supports - current applications of computers in chemistry - chemoinformatics including, e.g., docking methods, QSAR, virtual screening, in silico ADMETox - molecular modelling of chemical, biological, and material systems - chemical databases (facts, spectra, structures, reactions, algorithms) - methods for processing chemical information and transforming it into knowledge (statistics, chemometrics, evolutionary algorithms, machine learning) - improving the management of chemical information
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