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ACD/Labs NMR prediction software implemented as a learning tool for the power of first principle in computational chemistry at the University of Waterloo ENC 2017, Pacific Grove, CA (March 27, 2017)—ACD/Labs, an informatics company that develops and commercializes solutions in support of chemical and pharmaceutical R&D, today announced a collaboration with Dr. Jacob Fisher, a...

The number of variables that you can investigate to achieve the optimal method for complex samples can be overwhelming. This final webinar in our series (Smarter Method Development) highlights how software can provide a systematic and exhaustive approach towards method development with as much or as little expert intervention as desired. We will introduce you...

Luminata™ offers a single system for organizing live, assembled analytical data for impurities within the context of a substance and the process by which it was made. PITTCON 2017, Chicago, IL (March 6, 2017)—ACD/Labs, an informatics company that develops and commercializes solutions in support of chemical and pharmaceutical R&D, today announced it will introduce Luminata™,...

Identify more metabolites, save time with your data mining and collating spectra, search through old studies, and much more. Learn how MetaSense helps you to accomplish all of this in our webinar.

Implementing software on the ACD/Spectrus Platform simplifies the IT landscape and provides essential analytical data handling tools for leading pharmaceutical company. Toronto, CANADA (Nov. 30, 2016)—ACD/Labs, an informatics company that develops and commercializes solutions in support of chemical and pharmaceutical R&D, today announced that Boehringer Ingelheim, a leading pharmaceutical company,  chose to deploy ACD/NMR Workbook...

Structure elucidation of complex natural products and new organic compounds remains a challenging problem. To support this endeavor, CASE (computer-assisted structure elucidation) expert systems were developed. These systems are capable of generating a set of all possible structures consistent with an ensemble of 2D NMR data followed by selection of the most probable structure on...