Search Results for "intelligent knowledge technology"

In the regulatory assessment of chemicals (e.g. under REACH), Quantitative Structure Activity Models (QSAR) are playing an increasingly important role in predicting properties for hazard and risk assessment. This implies both a need to be able to identify relevant QSARs and to use them to derive estimates and/or have access to their precalculated estimates. To help meet these needs, the JRC QSAR Model Database is established and freely accessible through http://qsardb.jrc.ec.europa.eu/qmrf...

ChemCrow is an AI-powered framework designed to assist in chemical research and discovery. It integrates AI models with chemical knowledge bases to provide intelligent recommendations for synthesis planning, reaction prediction, and material discovery. This tool helps automate and accelerate research in computational chemistry and drug development.

The Collaborative Computational Project for NMR (CCPN) provides tools and knowledge to maximise the impact of the biological NMR studies. The CCPN software facilitates data analysis and software integration. The project actively promotes the exchange of knowledge and provides training and best practices for the NMR community. CCPN also has a leading role in the development of a NMR data-sharing standard and coordination of NMR instrumentation proposals for RCUK and BIS. The 28 partners of...