Krishna Shrinivas
@shrinivaslab.bsky.social
Asst. prof at Northwestern ChBE
Interested in how molecules and processes are organized and regulated in living cells | physics, math, engineering, and computation (mostly) for biology
shrinivaslab.com
Interested in how molecules and processes are organized and regulated in living cells | physics, math, engineering, and computation (mostly) for biology
shrinivaslab.com
The problem:
AI tools like AlphaFold & ProteinMPNN accelerate design of stable protein folds by inverting the sequence-structure map.
But IDPs don't have 1 shape - they occupy a huge ensemble of shapes. Physics simulations are good models to generate ensembles but hard to design/invert over!
AI tools like AlphaFold & ProteinMPNN accelerate design of stable protein folds by inverting the sequence-structure map.
But IDPs don't have 1 shape - they occupy a huge ensemble of shapes. Physics simulations are good models to generate ensembles but hard to design/invert over!
October 10, 2025 at 6:16 PM
The problem:
AI tools like AlphaFold & ProteinMPNN accelerate design of stable protein folds by inverting the sequence-structure map.
But IDPs don't have 1 shape - they occupy a huge ensemble of shapes. Physics simulations are good models to generate ensembles but hard to design/invert over!
AI tools like AlphaFold & ProteinMPNN accelerate design of stable protein folds by inverting the sequence-structure map.
But IDPs don't have 1 shape - they occupy a huge ensemble of shapes. Physics simulations are good models to generate ensembles but hard to design/invert over!