P. G. Wolynes

The paper uses mass spectrometry and simulations to study phase separation of RNA-binding proteins, revealing distinct assembly mechanisms and droplet structures.

This study shows that the RelA TAD increases NFκB-DNA binding affinity but reduces specificity for κB sequences by enhancing non-specific DNA binding.

This study uses ELViM to analyze Aβ40 and Aβ42 monomers and their mutations, showing how ELViM distinguishes fiber-forming from non-fiber-forming variants.

The paper shows how mRNA/prion assemblies regulate translation through vectorial channeling, with repression or activation depending on mRNA distribution and assembly structure.

This study uses atomic packing frustration analysis to refine predicted protein structures, improving their quality through guided simulations.

The paper uses simulations and machine learning to predict chromosomal structures across cell lines, showing consistency with microscopy and revealing conformational transitions and compartment rearrangements.

This study uses computational methods to analyze the dissociation pathways of Fis protein pairs from DNA, revealing two distinct mechanisms with different functional outcomes.

The paper predicts human chromosome structures from epigenetic data, showing that chromatin architecture can be inferred through phase separation-like processes using ChIP-Seq and Hi-C data.

The paper introduces AWSEM-Amylometer, a computational method predicting amyloid propensity and fibril topology using an optimized folding landscape model, showing favorable performance compared to existing predictors.