Protein and RNA structure, function and fitness predicted from evolutionary sequence covariation
Predict your proteinUpdate 2024-08-26: The main server (v2.evcouplings.org) is back online!
Update 2024-09-28: The legacy server (v1.evcouplings.org) is also back (but will not be returning results from the 'compare' stage anymore). For monomer runs, we strongly encourage users to only use v2 going forward.
Please reach out to support@evcouplings.org if you encounter any further issues or have any questions.
Evolutionary couplings can be used to predict many interesting aspects about protein and RNA molecules from sequence alone.
Compute evolutionary couplings from sequence alignments and predict 3D structure for your protein of interest.
Precomputed evolutionary couplings and 3D models for thousands of experimentally unsolved proteins.
Coevolutionary prediction of conformations of disordered regions in the human proteome.
3D structure of RNA molecules and protein-RNA interactions predicted from nucleotide sequence covariation.
Large file downloads for our papers related to evolutionary couplings.
We provide access to our evolutionary couplings methods as open source software. For details about each tool, please refer to the individual repositories.
Application and Python package providing the complete EVcouplings workflow from alignment to structure.
Software to infer undirected pairwise graphical models from multiple sequence alignments.
Python module to predict mutation effects from undirected graphical models of sequences.
Tool to interactively visualize the parameters of undirected graphical models of protein families.