Conference Description
The Computer Aided Drug Design GRS provides a unique forum for young doctoral and post-doctoral researchers to present their work, discuss new methods, cutting edge ideas, and pre-published data, as well as to build collaborative relationships with their peers. Experienced mentors and trainee moderators will facilitate active participation in scientific discussion to allow all attendees to be engaged participants rather than spectators.
This GRS aims to highlight the latest advancements in developing and applying computational methods to accelerate drug design. The seminar will showcase research at the cutting edge of structure-based design, physics-based modeling, and machine learning (ML). There will be a special emphasis on methods which investigate the promise (and pitfalls) that ML brings to long-standing challenges in the field, like structure prediction, docking, library enumeration, etc. There will also be a special focus on innovative applications of existing methods to accelerate the design of small molecules and novel modalities such as peptides, oligonucleotides, molecular glues, and beyond.
Instruction for applications: Talk slots are reserved for early career scientists. All participants are expected to present a poster and are highly encouraged to apply for a talk.
An outline of the program components for this GRS is displayed below. The seminar chair is currently developing their detailed program schedule, which will include the speakers they select from submitted abstracts, in addition to any additional components outlined below. The detailed program will be available by May 13, 2025. Please check back for updates.
Keynote Speaker
Speakers
- To Be Selected from Submitted Abstracts
Discussion Leaders
- To Be Selected from Submitted Abstracts
Mentorship Component
