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Explore how ASV transforms structure verification into a scalable, consistent and reliable process. This article was originally published on Technology Networks Structure verification in R&D Chemical structure verification is a tedious but critical task in the drug discovery and development pipeline. Despite the advances in automation, AI and high-throughput screening that have revolutionized many other...

A Markush structure represents a group of related chemical compounds, commonly used in patents, structural elucidation, metabolite identification, and mixture representation. It allows variations in substituents, positions, frequencies, and homologies, streamlining patent claims and ensuring broad protection. Learn how ChemSketch makes it easy to draw and enumerate Markush structures.

Partnership will enable R&D organizations to accelerate innovation with data science technologies. Toronto, CANADA (June 16, 2021)—ACD/Labs, a leading provider of scientific informatics technologies for molecular characterization, today announced a partnership with Science Data Experts (SDE). Together, ACD/Labs and SDE will use their experience and expertise to enable life sciences organizations to implement a variety of machine...

Navigating the integration of machine learning (ML) and artificial intelligence (AI) in pharmaceutical R&D involves overcoming data management, quality, and expertise challenges to unlock their full potential in drug discovery, reveals Richard Lee, Director, Core Technology and Capabilities, ACD/Labs Published by Scientific Computing World Pharmaceutical companies are under constant pressure to innovate and bring new...

The latest annual release of analytical and chemical knowledge management software will facilitate decision-making and collaboration for laboratory scientists, help integrate AI into chemistry workflows, and enable life sciences organizations to better leverage their data. Toronto, CANADA (September 18, 2024)—ACD/Labs, an informatics company that develops and commercializes software in support of digitalized R&D, today announced...

The organizations are collaborating to deliver an integrated AI experience for high throughput experimentation (HTE)   Toronto, CANADA and Lausanne, Switzerland (July 23, 2024)—ACD/Labs, an informatics company that develops and commercializes software in support of R&D, and Atinary Technologies, a pioneer company that offers a no-code platform and self-driving labs technology for AI-driven innovation, announce...

The FAIR data guidelines are central to effective data management and the ability to leverage institutional knowledge. Unfortunately, not everyone understands the concepts. Read about the goals and benefits of FAIR data for scientists and the organization; and practical considerations for implementation.

The biggest barrier to AI/ML in R&D is poor scientific data. Scattered, inconsistent, and inaccessible data hinders automation, integration, and insights. Organizations must prioritize data standardization, automation, and culture change to unlock AI/ML's full potential and empower scientists.

Toronto, Canada (July 27, 2011)—Accelrys, Inc. (NASDAQ: ACCL), a leading scientific enterprise R&D software and services company, today announced that a continuing partnership with Toronto-based chemistry software company ACD/Labs is enabling pharmaceutical, chemical, and biochemical companies around the world to work more efficiently and productively by deploying ACD/Labs analytical component collection on the Accelrys Pipeline...