PreprintCited by 1Protein Kinase Regulation and GTPase SignalingLipid Membrane Structure and BehaviorGene Regulatory Network Analysis

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Mesoscale simulations of membrane-tethered reactions to parameterize cell-scale models of signaling

Open access

Preprint — published as 10.1016/j.bpj.2026.04.015 · Paper page

Abstract

Biochemical interactions at membranes are the starting points for cell signaling networks. But bimolecular reaction kinetics are difficult to experimentally measure on 2-dimensional membranes and are usually measured in volumetric in vitro assays. Membrane tethering produces confinement and steric effects that will significantly impact binding rates in ways that are not readily estimated from volumetric measurements. Also, there are situations when 2D reactions do not conform to simple mass action kinetics. Here we show how highly coarse-grained molecular simulations using the SpringSaLaD software can be used to estimate membrane-tethered rate constants from experimentally determined volumetric kinetics. The approach is validated using an analytical solution for dimerization of binding sites anchored via stiff linkers. This approach can provide 2-dimensional bimolecular rate constants to parameterize cell-scale models of receptor-mediated signaling. We explore how factors such as molecular reach, steric effects, disordered domains, local concentration and diffusion affect the kinetics of binding. We also develop a general scheme to assess whether simple mass action rate constants can be applied for a given scenario, taking into account the diffusivity of the membrane anchors and tethered binding sites, the initial membrane densities of the reactants and the desired level of completion for the fitted rate constant. We then apply our approach to epidermal growth factor receptor (EGFR) mediated activation of the membrane-bound small GTPase Ras. The analysis reveals how binding of Ras to the allosteric site of SOS, a guanine nucleotide exchange factor (GEF) that is recruited to EGFR, significantly accelerates Ras binding to the SOS catalytic site. A small biochemical network model parametrized with the derived 2D rate constants shows how recruitment of SOS via EGFR can significantly enhance Ras activation. SIGNIFICANCE STATEMENT: In cell signaling, the activation of a surface receptor leads to a cascade of intracellular biochemical events. Many protein interactions occur near the inner plasma membrane surface. However, accurate rate parameters for these steps in models of signaling are rarely available because membrane-tethered reaction kinetics are difficult to experimentally measure. Here, we use a highly coarse-grained molecular simulator to model the kinetics of reactions between binding sites that are tethered to a membrane. We can fit these simulation outputs with 2-dimensional rate laws to obtain rate constants that can be used to build complex models of cell signaling. The derived rate constants can also be analyzed to understand the key biophysical features controlling the kinetics of bimolecular membrane reactions.

Overview

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2024.12.04.626844

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

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.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 42

  1. 10.1016/S0006-3495(02)75424-6 · DOI
  2. 10.1016/j.tcb.2003.09.002 · DOI
  3. 10.1016/j.biolcel.2004.03.004 · DOI
  4. 10.1016/S0022-1759(03)00193-5 · DOI
  5. Adam, G. , and M. Delbrück . 1968. Reduction of Dimensionality in Biological Diffusion. In Structural Chemistry and Molecular Biology. A. Rich , and N. Davidson , editors. W. H. Freeman and Co., San Francisco, pp. 198–215.
  6. 10.1007/BF01458701 · DOI
  7. 10.1083/jcb.102.1.88 · DOI
  8. 10.1098/rspa.1983.0055 · DOI
  9. Koudriavtsev, A. B. , R. F. Jameson , W. Linert , and SpringerLink. 2001. The Law of Mass Action. Springer Berlin Heidelberg: Imprint: Springer, Berlin, Heidelberg. · DOI
  10. 10.1063/1.4929390 · DOI
  11. 10.1016/S0006-3495(94)80834-3 · DOI
  12. 10.1021/cr00077a009 · DOI
  13. 10.1016/0095-8522(49)90023-9 · DOI
  14. 10.1021/j100356a011 · DOI
  15. 10.1529/biophysj.105.078543 · DOI
  16. 10.1016/S0006-3495(84)84252-6 · DOI
  17. 10.1038/nature10183 · DOI
  18. 10.1002/pro.2574 · DOI
  19. 10.1016/j.bpj.2019.08.023 · DOI
  20. 10.1016/j.bpj.2015.12.026 · DOI
  21. 10.1101/373084 · DOI
  22. 10.1126/science.1250373 · DOI · Paper page
  23. 10.1038/s41586-024-07487-w · DOI · Paper page
  24. 10.1093/bioinformatics/bty487 · DOI
  25. 10.1074/jbc.M110.135517 · DOI
  26. 10.1074/jbc.M509344200 · DOI
  27. 10.1093/bioinformatics/btl485 · DOI · Paper page
  28. 10.1016/S0006-3495(97)78146-3 · DOI
  29. 10.1016/B978-0-12-388403-9.00008-4 · DOI
  30. 10.1007/BF01010846 · DOI
  31. 10.1016/S0006-3495(02)73953-2 · DOI
  32. 1977, Role of density fluctuations in bimolecular reaction kinetics, Chemical Physics, 28, 215
  33. 10.1063/1.445022 · DOI
  34. 10.1016/0146-5724(83)90143-7 · DOI
  35. 10.1101/cshperspect.a031534 · DOI
  36. 10.1016/S0014-4827(02)00098-8 · DOI · Paper page
  37. 10.1016/j.bpj.2024.07.014 · DOI
  38. 10.1517/14728222.12.8.1021 · DOI
  39. 10.1016/S0092-8674(03)00149-1 · DOI
  40. 10.1038/nsmb.1418 · DOI
  41. 10.1074/jbc.271.48.30472 · DOI
  42. 10.1126/science.347575 · DOI

Metadata

Authors
Peterson, K. J., Slepchenko, B. M., & Loew, L. M.
Affiliations
University of Connecticut (US)
Corresponding author
Loew, Leslie M.
Venue
Biophysical Journal
Publisher
openRxiv
Published
2024-12-05
Volume
125
Issue
11
Pages
2632-2647
ISSN
0006-3495 (ISSN-L)
OpenAlex
W7155600125
Cited by
1
References
1
Citations by year
2026: 1
FWCI
2.07
Type
journal article
Language
en
Open access
Locations
  • Biophysical Journal (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by-nc)
Funders
  • National Institutes of Health
  • National Institute of General Medical Sciences (R01GM132859, R24GM137787)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Lipid Membrane Structure and Behavior
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Keywords
membrane tethering, steric effects, confinement effects, mass action kinetics, membrane diffusion, epidermal growth factor receptor, Ras activation, allosteric binding, receptor signaling

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