Pharma R&D Today
Ideas and Insight supporting all stages of Drug Discovery & Development
Reaxys database search now available from Marvin
Posted on May 8th, 2020 by Elena Herzog
The number of chemical reactions and substances platforms like Reaxys has grown exponentially in recent years. The challenge for chemical information tools has shifted from exploration of new horizons in the chemistry space to refining and filtering structure and reaction searches to find the exact substances or reactions that one is seeking. As the next step in a long-term collaboration, Reaxys is now connected with ChemAxon’s flagship cheminformatics solution Marvin, making complex structure searches faster and easier, and directly accessible from the desktop application.
(more…)Webinar: Accelerating drug discovery by building and turning high-quality data into actionable insights
Posted on April 6th, 2020 by Rosalind Sankey
Drug discovery is a time-consuming and costly process (and all the more costly because it’s time-consuming). One of the hopes of the era of Big Data has been that having access to a wealth of scientific information could help speed the discovery process. However, the data itself has proven to come with many challenges. Medicinal chemists like myself are often frustrated in our attempts to integrate and work with disparate and unstructured sets of data.
(more…)Unlocking the potential of the Reaxys PhD prize – insights from 4 winners and finalists
Posted on March 2nd, 2020 by Alica May
The Reaxys PhD Prize, which honors young chemists for their innovative research, is now in its 10th year. It is a worldwide competition, open to those who are doing (or have recently completed) their PhD in any area of chemistry. Finalists each year automatically become a part of the Reaxys Prize Club, an exclusive international network of chemists from all research areas and career paths. Members of the club are also awarded with a broad range of benefits including free access to Reaxys, travel grants to network and explore research collaborations, and much more.
(more…)Finding the Corpus of Knowledge for Machine Learning/AI In Chemistry
Posted on January 14th, 2020 by Matthew Clark
Machine learning for predicting chemistry is an area of intense research and publication. However, since the terminology used to describe this activity is diverse it can be difficult to identify all of the publications describing use of computers to predict chemical outcomes or retrosynthesis paths.
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