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Potts Hamiltonian models of protein co-variation, free energy landscapes, and evolutionary fitness
2017
Current Opinion in Structural Biology
Potts Hamiltonian models of protein sequence co-variation are statistical models constructed from the pair correlations observed in a multiple sequence alignment (MSA) of a protein family. These models are powerful because they capture higher order correlations induced by mutations evolving under constraints and help quantify the connections between protein sequence, structure, and function maintained through evolution. We review recent work with Potts models to predict protein structure and
doi:10.1016/j.sbi.2016.11.004
pmid:27870991
pmcid:PMC5869684
fatcat:iunvrurryzbuvjugfw3uof6eg4