Knowledge of protein structure is paramount to the understanding of biological function,
develo** new therapeutics, and making detailed mechanistic hypotheses. Therefore …

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 …

Following up on the encouraging results of residue‐residue contact prediction in the
CASP11 experiment, we present the analysis of predictions submitted for CASP12. The …

Statistical analysis of evolutionary-related protein sequences provides information about
their structure, function, and history. We show that Restricted Boltzmann Machines (RBM) …

Direct-coupling analysis is a group of methods to harvest information about coevolving
residues in a protein family by learning a generative model in an exponential family from …

Recent advances in the scale and diversity of population genomic datasets for bacteria now
provide the potential for genome-wide patterns of co-evolution to be studied at the resolution …

This article provides a report on the state‐of‐the‐art in the prediction of intra‐molecular
residue‐residue contacts in proteins based on the assessment of the predictions submitted …

Motivation: Graphical models are often employed to interpret patterns of correlations
observed in data through a network of interactions between the variables. Recently …

Computational modelling of proteins has been a major catalyst in structural biology.
Bioinformatics groups have exploited the repositories of known structures to predict high …

Interaction between proteins is a fundamental mechanism that underlies virtually all
biological processes. Many important interactions are conserved across a large variety of …