Pharma R&D Today

Ideas and Insight supporting all stages of Drug Discovery & Development

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International Life Science Awards Recognize Reaxys

Posted on November 16th, 2020 by in Chemistry

The International Life Sciences Awards, an initiative from Global Health & Pharma Magazine (GHP) that is now in its fifth year, recognizes industry innovators – and this year that has included honoring Reaxys as an innovation leader by awarding it the Best Chemistry Predictive Analytics Specialists 2020 for its best-in-class Predictive Retrosynthesis software.

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Modulators, Biomarkers and Potential Treatments for COVID-19

Posted on May 14th, 2020 by in COVID-19

With the trend of open science, people are becoming more receptive to the idea of sharing data and using what is already accessible. Particularly for researchers, there is so much data available that can answer questions and develop hypotheses and strategies that could save effort, time and money. This is mainly important in cases where rapid discoveries are required, such as in the case of the current COVID-19 outbreak.

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Reaxys database search now available from Marvin

Posted on May 8th, 2020 by in Chemistry

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.

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Webinar: Accelerating drug discovery by building and turning high-quality data into actionable insights

Posted on April 6th, 2020 by in Chemistry

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.

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