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General principles of binding between cell surface receptors and multi-specific ligands: A computational study
The interactions between membrane receptors and extracellular ligands control cell-cell and cell-substrate adhesion, and environmental responsiveness by representing the initial steps of cell signaling pathways. These interactions can be spatial-temporally regulated when different extracellular liga...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654264/ https://www.ncbi.nlm.nih.gov/pubmed/29016600 http://dx.doi.org/10.1371/journal.pcbi.1005805 |
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author | Chen, Jiawen Almo, Steven C. Wu, Yinghao |
author_facet | Chen, Jiawen Almo, Steven C. Wu, Yinghao |
author_sort | Chen, Jiawen |
collection | PubMed |
description | The interactions between membrane receptors and extracellular ligands control cell-cell and cell-substrate adhesion, and environmental responsiveness by representing the initial steps of cell signaling pathways. These interactions can be spatial-temporally regulated when different extracellular ligands are tethered. The detailed mechanisms of this spatial-temporal regulation, including the competition between distinct ligands with overlapping binding sites and the conformational flexibility in multi-specific ligand assemblies have not been quantitatively evaluated. We present a new coarse-grained model to realistically simulate the binding process between multi-specific ligands and membrane receptors on cell surfaces. The model simplifies each receptor and each binding site in a multi-specific ligand as a rigid body. Different numbers or types of ligands are spatially organized together in the simulation. These designs were used to test the relation between the overall binding of a multi-specific ligand and the affinity of its cognate binding site. When a variety of ligands are exposed to cells expressing different densities of surface receptors, we demonstrated that ligands with reduced affinities have higher specificity to distinguish cells based on the relative concentrations of their receptors. Finally, modification of intramolecular flexibility was shown to play a role in optimizing the binding between receptors and ligands. In summary, our studies bring new insights to the general principles of ligand-receptor interactions. Future applications of our method will pave the way for new strategies to generate next-generation biologics. |
format | Online Article Text |
id | pubmed-5654264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56542642017-11-09 General principles of binding between cell surface receptors and multi-specific ligands: A computational study Chen, Jiawen Almo, Steven C. Wu, Yinghao PLoS Comput Biol Research Article The interactions between membrane receptors and extracellular ligands control cell-cell and cell-substrate adhesion, and environmental responsiveness by representing the initial steps of cell signaling pathways. These interactions can be spatial-temporally regulated when different extracellular ligands are tethered. The detailed mechanisms of this spatial-temporal regulation, including the competition between distinct ligands with overlapping binding sites and the conformational flexibility in multi-specific ligand assemblies have not been quantitatively evaluated. We present a new coarse-grained model to realistically simulate the binding process between multi-specific ligands and membrane receptors on cell surfaces. The model simplifies each receptor and each binding site in a multi-specific ligand as a rigid body. Different numbers or types of ligands are spatially organized together in the simulation. These designs were used to test the relation between the overall binding of a multi-specific ligand and the affinity of its cognate binding site. When a variety of ligands are exposed to cells expressing different densities of surface receptors, we demonstrated that ligands with reduced affinities have higher specificity to distinguish cells based on the relative concentrations of their receptors. Finally, modification of intramolecular flexibility was shown to play a role in optimizing the binding between receptors and ligands. In summary, our studies bring new insights to the general principles of ligand-receptor interactions. Future applications of our method will pave the way for new strategies to generate next-generation biologics. Public Library of Science 2017-10-10 /pmc/articles/PMC5654264/ /pubmed/29016600 http://dx.doi.org/10.1371/journal.pcbi.1005805 Text en © 2017 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Chen, Jiawen Almo, Steven C. Wu, Yinghao General principles of binding between cell surface receptors and multi-specific ligands: A computational study |
title | General principles of binding between cell surface receptors and multi-specific ligands: A computational study |
title_full | General principles of binding between cell surface receptors and multi-specific ligands: A computational study |
title_fullStr | General principles of binding between cell surface receptors and multi-specific ligands: A computational study |
title_full_unstemmed | General principles of binding between cell surface receptors and multi-specific ligands: A computational study |
title_short | General principles of binding between cell surface receptors and multi-specific ligands: A computational study |
title_sort | general principles of binding between cell surface receptors and multi-specific ligands: a computational study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654264/ https://www.ncbi.nlm.nih.gov/pubmed/29016600 http://dx.doi.org/10.1371/journal.pcbi.1005805 |
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