Protein and RNA structure, function and fitness predicted from evolutionary sequence covariation

Predict your protein

Webservers and interactive resources

Evolutionary couplings can be used to predict many interesting aspects about protein and RNA molecules from sequence alone.

EVcouplings webserver

EVcouplings server

Compute evolutionary couplings from sequence alignments and predict 3D structure for your protein of interest.

Predict your proteinPrevious server

SARS-CoV-2 predictions


3D structure and mutation effect prediction for SARS-CoV-2 proteins and RNAs.

Explore virus predictions

Model database

Precomputed results

Precomputed evolutionary couplings and 3D models for thousands of experimentally unsolved proteins.

Browse results

EVcomplex webserver

EVcomplex server

Predict interacting residues in protein complexes from sequence covariation for your complex of interest.

Predict your complex

EVmutation database


Context-dependent mutation landscapes predicted for thousands of human proteins.

Mutation predictions

Disorder database

Protein plasticity

Coevolutionary prediction of conformations of disordered regions in the human proteome.

Disorder predictions

RNA supplement

RNA structure

3D structure of RNA molecules and protein-RNA interactions predicted from nucleotide sequence covariation.

RNA predictions

E. coli complexes

E. coli complexes

Precomputed predictions for Escherichia coli proteome, including the full membrane protein interactome.

Explore complexes

Supplementary data

Large file downloads for our papers related to evolutionary couplings.


Data for in-vitro experimental evolution to compute evolutionary couplings.


Software and source code

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.

GitHub repository


Software to infer undirected pairwise graphical models from multiple sequence alignments.

GitHub repository


Python module to predict mutation effects from undirected graphical models of sequences.

GitHub repository


Tool to interactively visualize the parameters of undirected graphical models of protein families.

GitHub repository