Article
Increased implementation of deep learning is forecast to introduce new opportunities to the drug discovery arena and add value to data held by pharmaceutical companies. Further applications of deep learning will add significant value to the data that pharma companies already hold.
Summary
Increased implementation of deep learning is forecast to introduce new opportunities to the drug discovery arena and add value to data held by pharmaceutical companies.
Download the full article to read about how early-stage drug discovery has been an enthusiastic adopter of computationally aided design and how computational visualisation and predictions becoming integral to the way chemists work. This forward-looking approach to applying technology in existing workflows makes drug discovery an important field for the ongoing deep learning revolution, where new and innovative tools can make an important difference to real, relevant projects.
This article is taken from Innovations in Pharmaceutical Technology January 2019, pages 45-47. © Samedan Ltd
