Determinants of improved CGRP peptide binding kinetics revealed by enhanced molecular simulations
Open accessPublished version of a preprint
Abstract
Peptides are desirable therapeutics due to their inherent potency, safety, and ability to engage 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. A better understanding of peptide binding mechanisms would benefit for the development of next-generation peptide-based drugs with optimized kinetic properties. The calcitonin receptor-like receptor:receptor activity-modifying proteins 1 (CLR:RAMP1) complex and its endogenous agonist peptide calcitonin gene-related peptide (CGRP) are of particular interest due to their central role in migraine pathophysiology. In this study, we comparatively analyze C-terminal constructs of native CGRP and "ssCGRP," an engineered variant with 430-fold longer residence time in the CLR:RAMP1 complex. Using our high-dimensional weighted-ensemble algorithm, we thoroughly sampled unbinding pathway 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 pathway. The natural dynamics used in weighted ensemble, combined with Markov state modeling, allows for the first comparative analysis of protein-peptide unbinding transition state ensembles between a native and mutant peptide. We find that ssCGRP(27-37) 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 the residence time of peptides in CLR:RAMP1 and provides valuable insight for the design of long-acting peptide therapeutics.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Accurate structure prediction of biomolecular interactions with AlphaFold 3
Abramson, J., Adler, J., Dunger, J., Evans, R., Green, T., Pritzel, A., Ronneberger, O., Willmore, L., Ballard, A. J., Bambrick, J., et al. (2024) · Nature · doi:10.1038/s41586-024-07487-w · Cited by 15,861 · see citing works
Markov state models of biomolecular conformational dynamics
Chodera, J. D., & Noé, F. (2014) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2014.04.002 · Cited by 776 · see citing works
Vascular Actions of Calcitonin Gene-Related Peptide and Adrenomedullin
Brain, S. D., & Grant, A. D. (2004) · Physiological Reviews · doi:10.1152/physrev.00037.2003 · Cited by 765 · see citing works
Flagged first, then by citations
- Authors
- Kilinc, C., Babin, K. M., Pioszak, A. A., & Dickson, A.
- Affiliations
- University of Oklahoma Health Sciences Center (US)
- Michigan State University (US)
- Corresponding author
- Pioszak, Augen A.
- Dickson, Alex
- Venue
- Biophysical Journal
- Publisher
- Elsevier BV
- Published
- 2026-04
- Volume
- 125
- Issue
- 7
- Pages
- 1737-1752
- ISSN
- 0006-3495 (ISSN-L)
- PMC
- PMC13351986
- OpenAlex
- W7134225994
- Cited by
- 2
- References
- 3
- Citations by year
- 2026: 2
- FWCI
- 4.13
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Biophysical Journal (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- Funders
- National Institutes of Health
- College of Arts and Sciences, Oklahoma State University
- National Institute of General Medical Sciences (R01GM130794, R01GM104251, P20GM103640, P30GM145423)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
- Keywords
- calcitonin gene-related peptide, peptide therapeutics, Markov state models, entropic stabilization, migraine, peptide stability
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review