GREMLIN is a method to learn a statistical model of a protein family that captures both conservation and co-evolution patterns in the family. The strength of measured co-evolution is strongly predictive of residue-residue contacts in the 3D structure of the protein.
On this website, you can:
This website is the result of members and computing power of Prof. David Baker's Lab. We would also like to thank the developers of HHsuite, HMMER and folks that maintain the Pfam, PDB and UniProt databases.
- Submit contact prediction jobs for both monomers and complexes.
- Upload PDB models to see agreement to co-evolution data.
- Generate restraints to be used in Rosetta for modeling.
- Generate sequence restraints for mutagenesis and design experiments.
- View data and precomputed databases from our publications.