Pharma R&D Today
Ideas and Insight supporting all stages of Drug Discovery & Development
Embracing the new in cheminformatics
Posted on August 17th, 2018 by Prima Sung in Chemistry
Two centuries of innovation in chemistry research methods
The true mark of an innovation is its impact on our behavior. All the great innovations of history, big and small, have changed how people have approached tasks in their personal and professional lives. As we celebrate 30 years of the chemistry research solution Reaxys, it’s fascinating to take a look back at the innovations that power it and their impact on the work of chemistry researchers.
The first innovation that contributed to the power of the modern Reaxys came not in the digital era, but in the first quarter of the 19th century. Forward-thinking German chemist Leopold Gmelin revolutionized the approach to recording chemistry information with his systematic classification system it. Continue reading “Embracing the new in cheminformatics” »
The Future of Chemistry R&D Will Depend on Deep Learning
Posted on June 7th, 2018 by Matthew Clark in Pharma R&D
A recent survey of chemists, carried out by Elsevier’s Reaxys team, showed that only 13% identified a familiarity with machine learning (or similar technologies) as being important for future chemists. Continue reading “The Future of Chemistry R&D Will Depend on Deep Learning” »
When Looking to Accelerate the Pace of Research, Having the Right Multidisciplinary Tools Matters
Posted on May 18th, 2018 by Christy J. Wilson in Pharma R&D
Have you ever heard the term “stay in your lane”? While it may be applicable in some workplaces, where people are expected to keep their focus narrow, these days it isn’t something you’ll hear much in pharmaceutical-related industries. Continue reading “When Looking to Accelerate the Pace of Research, Having the Right Multidisciplinary Tools Matters” »
To streamline early discovery, a cross-disciplinary, data-driven workflow process is key
Posted on February 23rd, 2018 by Neal Katz in Pharma R&D
“Complex” is the term that best describes the conditions that affect us. Whether it’s a disease or a consequence of a natural process such as aging, there are no simple fixes. Continue reading “To streamline early discovery, a cross-disciplinary, data-driven workflow process is key” »
