The EVolutionary Couplings Server

Greetings from the Marks & Sander labs. The EVcouplings server provides functional and structural information about proteins from their evolutionary record using methods from statistical physics. If you find this server useful for your research, please consider citing The EVcouplings Python framework.

Updated!

SARS-CoV-2

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

EVcouplings server

Compute evolutionary couplings from sequence alignments and predict 3D structure for your protein of interest. This webserver allows to run former EVcouplings, EVmutation, EVfold and EVcomplex jobs.

Models

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

EVcomplex submissions

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

3Dseq

Data for in-vitro experimental evolution.

EVmutation models

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

Protein plasticity

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

RNA structure

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

EVcouplings

Application and Python package providing the complete EVcouplings workflow from alignment to structure. Includes: EVcouplings, EVfold, EVmutation and EVcomplex.

EVzoom

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

plmc

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

EVmutation (legacy)

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

Latest news:

29.05.2020 - EVcouplings.org version 2.0 (now in beta!)

We are happy to announce a new version of EVcouplings.org will be coming soon. The new version features more interactive visualization options and new convenience features, such as "best run" selection. As of today, the monomer job submission has been integrated and tested, and we welcome your feedback at support@evcouplings. Soon, you will also be also able to submit complex jobs and view results of precomputed jobs.

You can find the beta version of the new server at evcouplings2.hms.harvard.edu.

28.10.2019 - 3Dseq data added to evcouplings.org

Explore the data used for the "Protein structure from experimental evolution" paper. Go to the 3Dseq data page.

26.11.2018 - EVcomplex runs can now be computed on evcouplings.org

You can now run jobs on two proteins (EVcomplex) on evcouplings.org. Go to the complex submission page.

10.09.2018 - Evcouplings models integrated in evcouplings.org

You can now search for precomputed EVcouplings monomer jobs here.

29.05.2018 - New EVfold and EVcouplings server (now in beta!)

We are pleased to announce our new web server for job submissions, which makes use of the new python pipeline announced about a week ago! The new web server covers both the areas of EVcouplings and EVfold, and will soon also allow to run EVcomplex runs. It's your one place to go for all evolutionary couplings related work!

21.05.2018 - EVcouplings python package preprint

We have just published our updated evcouplings pipeline python package as a pre-print on biorxiv. Check it out!.

Contact us

Email here: support (@) evcouplings.

The evolutionary couplings approach was developed collaboratively between the Marks lab in the Department of Systems Biology at Harvard Medical School (HMS) and the Sander lab at the Dana-Farber Cancer Institute (DFCI) and in the Department of Cell Biology at Harvard Medical School (HMS).