Direct-coupling analysis of residue coevolution captures native contacts across many protein families
Center for Theoretical Biological Physics · Politecnico di Torino · +8 more institutions
Abstract
The similarity in the three-dimensional structures of homologous proteins imposes strong constraints on their sequence variability. It has long been suggested that the resulting correlations among amino acid compositions at different sequence positions can be exploited to infer spatial contacts within the tertiary protein structure. Crucial to this inference is the ability to disentangle direct and indirect correlations, as accomplished by the recently introduced direct-coupling analysis (DCA). Here we develop a computationally efficient implementation of DCA, which allows us to evaluate the accuracy of contact prediction by DCA for a large number of protein domains, based purely on sequence information. DCA…
Citation impact
- FWCI
- 19.55
- Percentile
- 100%
- References
- 56
Authors
10- FMFaruck MorcosCorresponding
Center for Theoretical Biological Physics
- APAndrea Pagnani
Politecnico di Torino, Italian institute for Genomic Medicine
- BLBryan Lunt
Center for Theoretical Biological Physics
- ABArianna Bertolino
Institute for Scientific Interchange
- DSDebora S. Marks
Harvard University, Center for Systems Biology
Topics & keywords
- Coevolution
- Computational biology
- Protein structure
- Protein sequencing
- Protein superfamily
- Direct coupling
- Inference
- Protein domain