Optimal Probes: A Tool to Predict Experiments to Study Protein Dynamics using Machine Learning

Objective: Inspiration
Audience Level: All
Session Type: Poster

Optimal Probes uses computer simulation datasets to predict the best set of amino acid pairs to use to perform experiments on proteins. This is an attempt to predict the optimal experiment choices as opposed to random choices to minimize resources spent. It is a framework that combines information from simulations and experiments for holistic insights into protein conformational heterogeneity.

Speaker(s)

, University of Illinois - Urbana-Champaign

Optimal Probes: A Tool to Predict Experiments to Study Protein Dynamics using Machine Learning

Optimal Probes: A Tool to Predict Experiments to Study Protein Dynamics using Machine Learning