Upcoming June 21 2023 drug discovery webinar by Schrodinger

Started by jeff101

jeff101 Lv 1

On Wed June 21 2023, a company called Schrodinger is sponsoring a webinar called "The Predict-First Paradigm: How Digital Chemistry is Changing Drug Discovery" (see https://cen.acs.org/collections/webinars.html for details). It sounds a bit like what we are doing in Foldit Small Molecule Design Puzzles like 2316, with quotes like "Centralize technology: See how Schrödinger scientists used a digital chemistry platform to enhance crowdsourced ideation and team collaboration" and "This shift from design strategies based largely on experimental trial and error towards a ‘predict-first’ approach to drug discovery allows teams to dramatically expand the pool of molecules that can be explored and results in a highly interactive and fully in silico design-make-test-analyze (DMTA) cycle. Chemists are empowered to test hypotheses through predictive modeling and iteratively improve designs prior to compound synthesis. Teams can confidently spend time and energy exploring new, unknown, and often more complex designs while sending only the top performing molecules for synthesis."

More info about Schrodinger is at https://cloud.google.com/customers/schrodinger where I see the keyword "machine learning".

rosie4loop Lv 1

It seems to be about the "livedesign" platform of the company that is developed for collaborative researches.

Somehow different from the crowdsourcing of ideas with a game like Foldit.

The company is well-known for the powerful molecular viewer PyMOL that they offer an open-source version for non-commercial users. This viewer is commonly used in academia together with academic software developed by academic researchers like UCSF Chimera, VMD etc for molecular visualization.

In the VHL design preprint (https://fold.it/forum/blog/vhl-puzzle-series-paper-preprint-released) the authors are also using several (commercial, non-free) methods developed by this company to evaluate designs of players. See the supplementary information for details.

Most of their products aren't free, though. A tiny research group like the one I'm in need to use something free and preferrebly open-source for practical reasons and for training, and I do appreciate them for making a selected set of modelling tools open-source.