Pharma R&D Today
Ideas and Insight supporting all stages of Drug Discovery & Development
Bringing Scalability Into Chemistry Modeling
Synthetic chemistry has been with us for centuries, but it is now entering a new frontier. Big data, AI and machine learning are unlocking a predictive power that is transforming the conceptualization and optimization of synthetic routes.
A new white paper from the Entellect team titled “The foresight to bring scalability into chemistry modeling” looks at approaches to predictive chemistry modeling and considers how those models can be scaled to a sustainable pipeline that will be able to fully support pharmaceutical and chemical R&D.
The paper explores topics like:
* The advantages of leveraging predictive chemistry models
* How to tackle the scale-up of predictive chemistry models, including prioritizing collaboration, focusing on high-value activities and guaranteeing data security
* The importance of quality data and the FAIR Data Principles
* Learning to evolve to meet the needs of end users
Interested in finding out more about scaling predictive reaction chemistry models? Read the white paper now.
R&D Solutions for Pharma & Life SciencesWe're happy to discuss your needs and show you how Elsevier's Solution can help.
Senior Marketing Manager - Entellect
- Reaxys User Day 2022: Sharing insights and tips for streamlining the chemist workflow
- How pharma can make drug information accessible
- Reaxys User Day 2022: Researcher secrets in the spotlight
- Elsevier and LG: Turning data into action
- Umesh Nandal: Chemist and data scientist in one