Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A general model of multivalent binding with ligands of heterotypic subunits and multiple surface receptors

View ORCID ProfileZhixin Cyrillus Tan, View ORCID ProfileAaron S. Meyer
doi: https://doi.org/10.1101/2021.03.10.434776
Zhixin Cyrillus Tan
1Bioinformatics Interdepartmental Program, University of California, Los Angeles
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Zhixin Cyrillus Tan
Aaron S. Meyer
1Bioinformatics Interdepartmental Program, University of California, Los Angeles
2Department of Bioengineering, University of California, Los Angeles
3Jonsson Comprehensive Cancer Center, University of California, Los Angeles
4Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Aaron S. Meyer
  • For correspondence: ameyer@asmlab.org
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Multivalent cell surface receptor binding is a ubiquitous biological phenomenon with functional and therapeutic significance. Predicting the amount of ligand binding for a cell remains an important question in computational biology as it can provide great insight into cell-to-cell communication and rational drug design toward specific targets. In this study, we extend a mechanistic, two-step multivalent binding model to account for multiple ligands and receptors, optionally allowing heterogeneous complexes. We derive the macroscopic pre-dictions for both specifically arranged and randomly assorted complexes, and demonstrate how this model enables large-scale predictions on mixture binding and the binding space of a ligand. This model provides an elegant and computationally efficient framework for analyzing multivalent binding.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted March 11, 2021.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A general model of multivalent binding with ligands of heterotypic subunits and multiple surface receptors
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
A general model of multivalent binding with ligands of heterotypic subunits and multiple surface receptors
Zhixin Cyrillus Tan, Aaron S. Meyer
bioRxiv 2021.03.10.434776; doi: https://doi.org/10.1101/2021.03.10.434776
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
A general model of multivalent binding with ligands of heterotypic subunits and multiple surface receptors
Zhixin Cyrillus Tan, Aaron S. Meyer
bioRxiv 2021.03.10.434776; doi: https://doi.org/10.1101/2021.03.10.434776

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Systems Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4113)
  • Biochemistry (8815)
  • Bioengineering (6518)
  • Bioinformatics (23459)
  • Biophysics (11789)
  • Cancer Biology (9207)
  • Cell Biology (13322)
  • Clinical Trials (138)
  • Developmental Biology (7436)
  • Ecology (11409)
  • Epidemiology (2066)
  • Evolutionary Biology (15149)
  • Genetics (10436)
  • Genomics (14043)
  • Immunology (9171)
  • Microbiology (22153)
  • Molecular Biology (8812)
  • Neuroscience (47566)
  • Paleontology (350)
  • Pathology (1428)
  • Pharmacology and Toxicology (2491)
  • Physiology (3730)
  • Plant Biology (8079)
  • Scientific Communication and Education (1437)
  • Synthetic Biology (2220)
  • Systems Biology (6037)
  • Zoology (1253)