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Unbiased topological parameters to characterize the signatures of GPCR conformational changes
Author(s) -
Khleif Rafeed,
Serrano Erik,
Abrol Ravinder
Publication year - 2020
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.2020.34.s1.09885
Subject(s) - g protein coupled receptor , receptor , topology (electrical circuits) , transmembrane protein , intracellular , transmembrane domain , computational biology , membrane topology , chemistry , biophysics , structural biology , biology , biochemistry , mathematics , combinatorics
G protein coupled receptors (GPCRs) are integral membrane proteins that allow a cell to convert extracellular stimuli like light, small molecules, peptides, and proteins into intracellular signals. These receptors are conformationally very malleable, which is necessary for their different functional states. Recent developments in the structural biology of membrane proteins and utilization of other biophysical techniques for GPCRs is generating rich evidence of the existence of multiple receptor conformations. Different receptor conformations are thought to be responsible for enabling distinct intracellular signaling outcomes. The structures are now being generated for the inactive, active, and intermediate states for many GPCRs, however, there is no unbiased way to characterize the functional states of GPCRs. We are developing general higher‐order GPCR topology parameters (TMHTOP2) that can find functional‐state specific structural signatures and can be applied to any alpha‐helical transmembrane protein. The newly developed TMHTOP2 topology parameters were able to identify unique conformational signatures of the pre‐active state of the adenosine A2A receptor compared to its inactive and active states, that can now be used to identify the pre‐active states of other receptors as well. This method can be used in identifying and classifying structures from experiments or simulations as active, inactive, and intermediates.