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Quantitative Biology > Biomolecules

Title: Derangement model of ligand-receptor binding

Abstract: We introduce a derangement model of ligand-receptor binding that allows us to quantitatively frame the question "How can ligands seek out and bind to their optimal receptor sites in a sea of other competing ligands and suboptimal receptor sites?" To answer the question, we first derive a formula to count the number of partial generalized derangements in a list, thus extending the derangement result of Gillis and Even. We then compute the general partition function for the ligand-receptor system and derive the equilibrium expressions for the average number of bound ligands and the average number of optimally bound ligands. A visual model of squares assembling onto a grid allows us to easily identify fully optimal bound states. Equilibrium simulations of the system reveal its extremes to be one of two types, qualitatively distinguished by whether optimal ligand-receptor binding is the dominant form of binding at all temperatures and quantitatively distinguished by the relative values of two critical temperatures. One of those system types (termed "search-limited," as it was in previous work) does not exhibit kinetic traps and we thus infer that biomolecular systems where optimal ligand-receptor binding is functionally important are likely to be search-limited.
Comments: 57 pages, 21 figures
Subjects: Biomolecules (q-bio.BM); Statistical Mechanics (cond-mat.stat-mech)
MSC classes: 92C05 (Primary), 82B23 (Secondary), 05A19, 92-10, 33C45
ACM classes: G.2.1
Journal reference: Computational and Mathematical Biophysics 10.1 (2022): 123-166
DOI: 10.1515/cmb-2022-0137
Cite as: arXiv:2201.09471 [q-bio.BM]
  (or arXiv:2201.09471v2 [q-bio.BM] for this version)

Submission history

From: Mobolaji Williams [view email]
[v1] Mon, 24 Jan 2022 06:04:37 GMT (648kb,D)
[v2] Tue, 23 Aug 2022 01:46:55 GMT (645kb,D)

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