Figure from the paper illustrating sequence–ensemble–function relationships for disordered proteins. ML prediction (black) and design (orange) approaches are highlighted on the connecting arrows. Prediction of properties/functions from sequence (or vice versa, design) can include biophysics approaches via structural ensembles, or bioinformatics approaches via other hetero- geneous sources. The lower panels show examples of properties and functions of IDRs for predictions or design targets. ML, machine learning; IDRs, intrinsically disordered proteins and regions.
Our review on machine learning methods to study sequence–ensemble–function relationships in disordered proteins is now out in COSB
authors.elsevier.com/sd/article/S...
Led by @sobuelow.bsky.social and Giulio Tesei