Dear Colleagues,

The next event in the Industry Talk Series will take place online 13 April 2022 
at 3pm (British Summer Time). The title is "Adopting a collaborative mindset in 
industrial drug discovery in the AI era" and the speakers are Ewa Chudyk and 
Meir Glick from Vertex Pharmaceuticals, see abstract below.

The registration deadline is 11 April 2022. The registration link and all 
details can be found at https://www.ccpbiosim.ac.uk/collaboration22.

Best wishes,
Sarah


Abstract:

The discovery of a new drug is a complex and expensive process, involving the 
collaboration of many interdisciplinary teams of scientists. Along the way, 
computational chemists can contribute to and accelerate the decision-making 
process by assessing available data with relevant analysis methods. At various 
stages of the process, this usually involves partnering with medicinal 
chemists, DMPK scientists, biologists, toxicologists, and formulation 
scientists, amongst others. Applying “predict first” solutions involves 
reaching for both traditional computational chemistry tools as well as novel 
AI-based methods when working as part of these interdisciplinary teams to 
identify opportunities of the highest potential impact on the project. 
Appropriate models are then applied for given hypotheses and assessed after 
experiments are performed.

In this talk, we will give a general overview of the Vertex Pharmaceuticals 
drug discovery approach. We will also provide a computational chemist’s 
perspective based on our own experience in the industry. This will include 
diverse examples of computational methods used depending on the project’s 
needs. These consist of mining large datasets, building machine learning-based 
predictive models, docking virtual compound databases, including quantum 
chemistry calculations in chemical synthesis planning, running molecular 
simulations of large protein complexes, or using deep learning models for cell 
segmentation image recognition, amongst others. We will also share practical 
considerations of working in the industry, such as project timescales or 
partnering with interdisciplinary experimental teams. Finally, we will discuss 
the impact of collaboration, both within the industry and with academia to seek 
innovative solutions to complex problems.


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