Protein 3D Structure Computed from Evolutionary Sequence Variation
Harvard University · Center for Systems Biology · +4 more institutions
Abstract
The evolutionary trajectory of a protein through sequence space is constrained by its function. Collections of sequence homologs record the outcomes of millions of evolutionary experiments in which the protein evolves according to these constraints. Deciphering the evolutionary record held in these sequences and exploiting it for predictive and engineering purposes presents a formidable challenge. The potential benefit of solving this challenge is amplified by the advent of inexpensive high-throughput genomic sequencing.In this paper we ask whether we can infer evolutionary constraints from a set of sequence homologs of a protein. The challenge is to distinguish true co-evolution couplings from the noisy set…
Citation impact
- FWCI
- 21.95
- Percentile
- 100%
- References
- 85
Authors
7- DSDebora S. MarksCorresponding
Harvard University, Center for Systems Biology
- LJLucy J. Colwell
MRC Laboratory of Molecular Biology
- RPRobert P. Sheridan
Memorial Sloan Kettering Cancer Center
- TAThomas A. Hopf
Center for Systems Biology, Harvard University
- APAndrea Pagnani
Italian institute for Genomic Medicine
Topics & keywords
- Alignment-free sequence analysis
- Multiple sequence alignment
- Computational biology
- Protein structure prediction
- Protein sequencing
- Sequence alignment
- Sequence (biology)
- Protein structure