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Andrew Anderson provides an overview of how lab-based organizations prepare data sources and ensure that existing data sets are normalized, curated, and machine-readable so that they can be used for AI/ML projects in the future

Compared to other popular prediction tools, ACD/Labs NMR prediction algorithms provide the most accurate spectral predictions. In this infographic, see how results from each of these tools compare for five natural products and learn more about what’s behind our industry-leading algorithms.

Do you need to draw chemical structures for your school, research, or work? ChemSketch has all the tools you need! Learn how to use ChemSketch with this introduction and tutorial. Learn how to draw carbon chains, add heteroatoms, rearrange structures, generate IUPAC names, and more. Learn more about ChemSketch, or download a free trial.

The growing complexity of chemical substances and corresponding advances in chemical nomenclature makes it practically impossible and potentially unsafe to rely on humans to create chemical names. Algorithmic name generation by computer programs long ago excelled human expertise in accuracy, productivity, and reliability of results. ACD/Name generates systematic names for diverse classes of chemical substances...

The vendors will combine their expertise in informatics technology, analytical data, and high throughput experimentation (HTE) to enable cross-platform information sharing for automated high throughput data analysis of hyphenated chromatography, and mass spectral data. Houston, TX (June 5th, 2023)—ACD/Labs, an informatics company that develops and commercializes software in support of R&D, and Virscidian, a provider...

While pharmaceutical companies are working to implement machine learning and AI, integrating these technologies into process chemistry has been a challenge. In this presentation, Thorsten Gressling explains how Bayer’s data architecture supports its digital chemistry initiatives in process development. Topics covered include: Bringing together data from many systems, including ELNs and laboratory reactors Luminata’s visualization...

Pharmaceutical quality standards are on the rise, putting pressure on development teams to demonstrate their comprehensive understanding of impurities found in their medication. This requires high-quality data, but handling the necessary files and spreadsheets is a time-consuming, error-prone, and tedious process. Luminata® software solves this by consolidating all pharmaceutical development data on a chemically intelligent...

Extractable and Leachable (E&L) testing requires scientists to gather, analyze, and curate immense amounts of analytical data. Facing the challenge of identifying hundreds of potential unknowns with no commercial databases to search from is no small feat. Using the structure verification and knowledge management capabilities in MS Structure ID Suite, Medtronic has created a data-handling...

Spring is finally here, and you know what else that means – conference season is back! Now is an opportunity to meet chemists from all over to learn about what is happening in the world of science. Sanji Bahl is the Director of the Marketing and Communications team here at ACD/Labs, and she had a...

Biopharmaceuticals are structurally complex and pose numerous challenges in drug development. Globally, R&D companies are working to combat the complicated drug analysis necessary for large molecules, while trying to reduce laborious method development. Scientists at Merck have incorporated retention modeling into their strategy to simplify and accelerate their method development. Their method development strategy involves...