Statistical evidence for how protein molecular machines work

DARC output showing functionally relevant residues (colored sidechains) and top scoring directly coupled residue pairs (bars connecting α-carbons) characteristic of bacterial DNA clamp loader γ subunits.

Andrew Neuwald’s lab at the Institute for Genome Sciences  develops and applies computational approaches to protein sequence/structural analysis.  Our methods rely largely on sequence data with results interpreted in the light of available structures and of published biochemical studies. They apply both Bayesian and frequentist statistics.

Overview of software available at this site