Journal
JOURNAL OF MOLECULAR NEUROSCIENCE
Volume 68, Issue 3, Pages 331-339Publisher
HUMANA PRESS INC
DOI: 10.1007/s12031-018-1132-0
Keywords
PACAP; PAC1 receptor; Molecular dynamics; Markov state modeling; Transition path theory
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Funding
- UVM REACH grant
- NIH [P41GM103712-S1]
- NSF [ACI-1053575]
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Shapeshifters, in common mythology, are entities that can undergo multiple physical transformations. As our understanding of G protein-coupled receptors (GPCRs) has accelerated and been refined over the last two decades, we now understand that GPCRs are not static proteins, but rather dynamic structures capable of moving from one posture to the next, and adopting unique functional characteristics at each transition. This model of GPCR dynamics underlies our current understanding of biased agonismhow different ligands to the same receptor can generate different intracellular signalsand constitutive receptor activity, or the level of unbound basal receptor signaling that can be attenuated by inverse agonists. From information derived from related class B receptors, we have recently modeled the structure and molecular dynamics of the full-length pituitary adenylate cyclase activating polypeptide (PACAP, Adcyap1)selective PAC1 receptor (PAC1R, Adcyap1r1). The class B receptors are different from the class A GPCRs in part from the presence of a large extracellular domain (ECD); the transitions of the ECD along with the dynamics of the transmembrane domains (TMD or 7TM) of the PAC1R describes a series of open- and closed-state conformations that appear to identify the mechanisms for receptor activation. The PAC1R shapeshifts also have the ability of delineating the mechanisms and the design of reagents that may direct biased agonism (or antagonism) for potential therapeutics.
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