Biophysical JournalMolecular BiologyPeer-reviewed journal article
Determinants of Improved CGRP Peptide Binding Kinetics Revealed by Enhanced Molecular Simulations
Ceren KılınçiD, Katie M. BabiniD, Augen A. PioszakiD, Alex DicksoniD
Abstract
Peptides are desirable therapeutics due to their inherent potency, safety, cost-effectiveness and ability to engage large or more complex protein surfaces. Slower kinetics of protein-peptide (un)binding can directly influence their drug efficacy and duration of action, in part by improving plasma stability of the peptide. The CLR:RAMP1 complex and its endogenous agonist peptide CGRP are of particularly high interest because of their central role in migraine pathophysiology. A better understanding of peptide binding mechanisms is needed for the development of next-generation peptide-based drugs with optimized kinetic properties. In this study, we comparatively analyze constructs of native CGRP and "ssCGRP", an engineered variant with 430-fold longer residence time on the CLR:RAMP1 complex. Using large-scale computational resources and our high-dimensional weighted-ensemble algorithm, we then thoroughly sample and compare unbinding path ensembles for the two peptides. This elucidates the basis of the engineered residence time enhancement for ssCGRP and provides a detailed view of the intra- and intermolecular stabilizing interactions for both peptides in the bound ensemble and along the unbinding transition path. The bias-free nature of the sampling approach in combination with Markov state modeling allows for the calculation of committor values and the first analysis of protein-peptide binding transition state ensembles. Through analysis of the unbinding committor, we find that ssCGRP(27-37) also demonstrates enhanced ligand recapture of intermediate unbinding conformations and samples a more heterogeneous bound-state ensemble that entropically stabilizes the bound basin. This study shows the molecular determinants of peptide residence time at CLR:RAMP1 and provides valuable insight for the design of long-acting peptide therapeutics.
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- FWCI
- 4.13
- Field percentile
- top 7%
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