Statistical Physics-Based Approaches to Model the Function and Complexation of Disordered Proteins.

ABSTRACT: Functional classification of intrinsically disordered proteins (IDP) is a challenge due to their low sequence homology and lack of stable tertiary structure. We embrace this challenge to classify a model system of two IDPs─NCBD and CID─that have coevolved and for which both ancestral and extant sequences are available, along with quantitative binding data. One of these sequences, NCBD, exhibits partial secondary structure, while the other (CID) remains highly disordered and is highly charged. We classify these sequences using statistical physics-derived sequence-dependent interaction maps that predict distance maps (ensemble average distances between arbitrary residue pairs). We also use sequence-specific dynamic profiles for further comparison. Our findings show that CID proteins can be c

SUBMITTER: Haider A 

PROVIDER: S-EPMC12740113 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature