Advanced Chemistry Development, Inc., (ACD/Labs) develops and commercialzes informatics solutions for chemical, biochemical, and pharmaceutical R&D.
Our expertise lies in vendor-agnostic spectroscopic and chromatographic data processing and prediction, physicochemical and ADME-Tox property prediction, analytical knowledge management, interactive reporting, and integrating analytical data with chemical structures to help protect and leverage valuable research knowledge. ACD/Labs' solutions help scientists and their organizations to share and reuse accumulated knowledge more efficiently, to get products to market faster—the vital business necessity of our times.
Serving customers since 1994, ACD/Labs has developed a number of industry leading software tools, including ACD/Structure Elucidator, an Automated Structure Verification solution, pKa property predictor, renowned ACD/Name chemical nomenclature software, ACD/AutoChrom, a MetID solution, a Biotransformation knowledge management package, not to mention our consistently popular NMR Processing and prediction software. ADMET predictive software and Structure Design and Lead Optimization tools have been added and augmented since the late 2000's. In recent years, the company delivered new informatics platforms-Percepta and Spectrus (www.acdlabs.com/percepta and www.acdlabs.com/spectrus)-to stay abreast of our customers' latest requirements.
Bioaccumulation, dissipation, and biotransformation behaviors of fluorinated liquid crystal monomers in mice: Implications for potential health risk assessment ScienceDirect.com
Elevated particulate methanesulfonate, oxalate and iron over Sydney Harbour in the austral summer of 2019-20 during unprecedented bushfire activity ScienceDirect.com
Anomalous Retention Prediction Using Modelling Software in Gradient Reversed-Phase Liquid Chromatography: Why it Can Occur and How to Prevent It Chromatography Online
Prediction of key toxicity endpoints of AP-238 a new psychoactive substance for clinical toxicology and forensic purposes using in silico methods Nature
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