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Membrane Protein Structure Predictions for Exploration
Author(s) -
Nick V. Grishin
Publication year - 2012
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2012.06.004
Subject(s) - biology , transmembrane protein , sequence (biology) , computational biology , protein structure , protein structure prediction , genetics , biochemistry , receptor
A daring experiment is performed. Using sequence alignments to predict contacts between residues in protein spatial structures, Hopf et al. are publishing untested de novo structure models for 11 transmembrane protein families. Will their models stand the test of time and hold up to experimentation? The prospects are excellent.

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