Article

ProteinFlux: accurate, rapid and scalable generative prediction of protein dynamics driven by post-translational modifications

2026-05-11

Abstract excerpt

The function of proteins, the building blocks of life, in health and disease depends not only on their 3D-conformational states but most importantly on the dynamic transition between states controlled by a wide array of post-translational modifications (PTMs). Recent major advances have been made in our ability to predict static 3D structures; however, understanding and predicting the impact of PTMs on protein con...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e4eda61d-7dad-529b-8924-64a0b969c032
DOI: 10.64898/2026.05.06.721822

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

ProteinFlux: accurate, rapid and scalable generative prediction of protein dynamics driven by post-translational modificationsDOI 10.64898/2026.05.06.721822Read

Dynamics-aware geometric learning predicts disease-associated molecular perturbationsSemantic proximity Read

USP-ddG: a unified structural paradigm with data efficacy and mixture-of-experts for predicting mutational effects on protein-protein interactions.Semantic proximity Read

PLANET-MD: Ultra-fast Proteome-scale Prediction of Allosteric Networks in ProteinsSemantic proximity Read

Accelerated Sampling of Protein Dynamics Using BioEmu-Augmented Molecular Simulation.Semantic proximity Read

Protein Dynamics at Different Timescales Unlock Access to Hidden Post-Translational Modification SitesSemantic proximity Read

Protein language models trained on biophysical dynamics inform mutation effects.Semantic proximity Read

Generalizable and scalable protein stability prediction with rewired protein generative modelsSemantic proximity Read

Decoding conformational heterogeneity across disordered proteomesSemantic proximity Read

Generalizable and scalable protein stability prediction with rewired protein generative models.Semantic proximity Read

COLLAPSE: A representation learning framework for identification and characterization of protein structural sitesSemantic proximity Read

Assessing the Performance of BioEmu in Understanding Protein Dynamics.Semantic proximity Read

Sampling Conformational Ensembles of Highly Dynamic Proteins via Generative Deep LearningSemantic proximity Read