Protein and RNA structure, function and fitness predicted from evolutionary sequence covariation
Evolutionary couplings can be used to predict many interesting aspects about protein and RNA molecules from sequence alone. Here is what we have worked on so far:
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.
Predict interacting residues in protein complexes from sequence covariation for your complex of interest.
Context-dependent mutation landscapes predicted for thousands of human 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.
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.