Madison AI for Proteins*
*And RNA, ligands, genomes, …
Chalk talks
Monthly lunch seminars to share early-stage research.
Computational resources
Shared community resources for running common ML tools for proteins.
Events
More events
Madison AI for Proteins (MAIP) is a new initiative to bring together researchers at UW-Madison working in machine learning/AI for molecular biology, structural biology, and more. We draw inspiration from the Maip dinosaur, a large raptorid that lived in South America. For more information and event notifications, please join our Google group by clicking here or emailing maip+subscribe@g-groups.wisc.edu. MAIP acknowledges support from the UW-Madison Data Science Institute’s Rise AI Collaboration HQ.
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Gabriel Rocklin
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12-1 pm
TCR-ECHO: evolutionary cross-attention with physicochemical bias for hierarchical TCR-peptide binding prediction
Irene Ong
Room 1109, McArdle Building
12-1 pm
Towards the zero-shot design of de novo enzymes
Gina El Nesr
Khorana Auditorium (Room 175), Hector F. DeLuca Biochemistry Laboratories
2-3 pm
Biomolecular structure prediction and design using generative models
Rohith Krishna
Khorana Auditorium (Room 175), Hector F. DeLuca Biochemistry Laboratories
2-3 pm
Learnable geometric scattering for drug design and protein conformational dynamics
Dhananjay Bhaskar
Room 1109, McArdle Building
12-1 pm
Biophysics-based protein language models
Anthony Gitter
Room 1109, McArdle Building
12-1 pm
Where’s the big data for protein dynamics?
Hannah Wayment-Steele
Room 1109, McArdle Building
12-1 pm
Biochemistry
Biostat. & Medical Informatics / Morgridge Institute