Inference of Hopfield-Potts patterns from covariation in protein families: calculation and statistical error bars

ELC International Meeting on Inference, Computation, and Spin Glasses

Cocco, Simona^1 ; Monasson, Rémi^2 ; Weigt, Martin^3

Laboratoire de Physique Statistique, Ecole Normale Supérieure-UMR 8550, Universite Pierre et Marie Curie, 24 rue Lhomond, 75005 Paris, France^1

Laboratoire de Physique Théorique, Ecole Normale Supérieure-UMR 8549, Université Pierre et Marie Curie, 24 rue Lhomond, 75005 Paris, France^2

Laboratoire de Génomique des Microorganismes, UMR 7238, Université Pierre et Marie Curie, 15 rue de l'Ecole de Médecine, 75006 Paris, France^3

关键词: Covariation;    Hopfield;    Protein family;    Response regulators;    Statistical errors;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/473/1/012010/pdf
DOI  :  10.1088/1742-6596/473/1/012010

来源: IOP

【 摘 要 】

We consider the Hopfield-Potts model for the covariation between residues in protein families recently introduced in Cocco, Monasson, Weigt (2013). The patterns of the model are inferred from the data within a new gauge, more symmetric in the residues. We compute the statistical error bars on the pattern components. Results are illustrated on real data for a response regulator receiver domain (Pfam ID PF00072) family.