Dimensionality of Motion and Binding Valency Govern Receptor–Ligand Kinetics As Revealed by Agent-Based Modeling
Mathematical modeling and computer simulations have become an integral part of modern biological research. The strength of theoretical approaches is in the simplification of complex biological systems. We here consider the general problem of receptor–ligand binding in the context of antibody–antigen...
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Frontiers Media S.A.
2017-11-01
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Series: | Frontiers in Immunology |
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Online Access: | http://journal.frontiersin.org/article/10.3389/fimmu.2017.01692/full |
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author | Teresa Lehnert Teresa Lehnert Marc Thilo Figge Marc Thilo Figge Marc Thilo Figge |
author_facet | Teresa Lehnert Teresa Lehnert Marc Thilo Figge Marc Thilo Figge Marc Thilo Figge |
author_sort | Teresa Lehnert |
collection | DOAJ |
description | Mathematical modeling and computer simulations have become an integral part of modern biological research. The strength of theoretical approaches is in the simplification of complex biological systems. We here consider the general problem of receptor–ligand binding in the context of antibody–antigen binding. On the one hand, we establish a quantitative mapping between macroscopic binding rates of a deterministic differential equation model and their microscopic equivalents as obtained from simulating the spatiotemporal binding kinetics by stochastic agent-based models. On the other hand, we investigate the impact of various properties of B cell-derived receptors—such as their dimensionality of motion, morphology, and binding valency—on the receptor–ligand binding kinetics. To this end, we implemented an algorithm that simulates antigen binding by B cell-derived receptors with a Y-shaped morphology that can move in different dimensionalities, i.e., either as membrane-anchored receptors or as soluble receptors. The mapping of the macroscopic and microscopic binding rates allowed us to quantitatively compare different agent-based model variants for the different types of B cell-derived receptors. Our results indicate that the dimensionality of motion governs the binding kinetics and that this predominant impact is quantitatively compensated by the bivalency of these receptors. |
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format | Article |
id | doaj.art-d6652531d7c64efba97152d08ba6bc74 |
institution | Directory Open Access Journal |
issn | 1664-3224 |
language | English |
last_indexed | 2024-12-22T04:11:04Z |
publishDate | 2017-11-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Immunology |
spelling | doaj.art-d6652531d7c64efba97152d08ba6bc742022-12-21T18:39:32ZengFrontiers Media S.A.Frontiers in Immunology1664-32242017-11-01810.3389/fimmu.2017.01692305105Dimensionality of Motion and Binding Valency Govern Receptor–Ligand Kinetics As Revealed by Agent-Based ModelingTeresa Lehnert0Teresa Lehnert1Marc Thilo Figge2Marc Thilo Figge3Marc Thilo Figge4Research Group Applied Systems Biology, Leibniz Institute of Natural Product Research and Infection Biology – Hans Knöll Institute (HKI), Jena, GermanyCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, GermanyResearch Group Applied Systems Biology, Leibniz Institute of Natural Product Research and Infection Biology – Hans Knöll Institute (HKI), Jena, GermanyCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, GermanyFaculty of Biology and Pharmacy, Friedrich Schiller University Jena, Jena, GermanyMathematical modeling and computer simulations have become an integral part of modern biological research. The strength of theoretical approaches is in the simplification of complex biological systems. We here consider the general problem of receptor–ligand binding in the context of antibody–antigen binding. On the one hand, we establish a quantitative mapping between macroscopic binding rates of a deterministic differential equation model and their microscopic equivalents as obtained from simulating the spatiotemporal binding kinetics by stochastic agent-based models. On the other hand, we investigate the impact of various properties of B cell-derived receptors—such as their dimensionality of motion, morphology, and binding valency—on the receptor–ligand binding kinetics. To this end, we implemented an algorithm that simulates antigen binding by B cell-derived receptors with a Y-shaped morphology that can move in different dimensionalities, i.e., either as membrane-anchored receptors or as soluble receptors. The mapping of the macroscopic and microscopic binding rates allowed us to quantitatively compare different agent-based model variants for the different types of B cell-derived receptors. Our results indicate that the dimensionality of motion governs the binding kinetics and that this predominant impact is quantitatively compensated by the bivalency of these receptors.http://journal.frontiersin.org/article/10.3389/fimmu.2017.01692/fullagent-based modelordinary differential equationsantibody–antigen bindingreceptor–ligand interactiondimensionality of motionbinding valency |
spellingShingle | Teresa Lehnert Teresa Lehnert Marc Thilo Figge Marc Thilo Figge Marc Thilo Figge Dimensionality of Motion and Binding Valency Govern Receptor–Ligand Kinetics As Revealed by Agent-Based Modeling Frontiers in Immunology agent-based model ordinary differential equations antibody–antigen binding receptor–ligand interaction dimensionality of motion binding valency |
title | Dimensionality of Motion and Binding Valency Govern Receptor–Ligand Kinetics As Revealed by Agent-Based Modeling |
title_full | Dimensionality of Motion and Binding Valency Govern Receptor–Ligand Kinetics As Revealed by Agent-Based Modeling |
title_fullStr | Dimensionality of Motion and Binding Valency Govern Receptor–Ligand Kinetics As Revealed by Agent-Based Modeling |
title_full_unstemmed | Dimensionality of Motion and Binding Valency Govern Receptor–Ligand Kinetics As Revealed by Agent-Based Modeling |
title_short | Dimensionality of Motion and Binding Valency Govern Receptor–Ligand Kinetics As Revealed by Agent-Based Modeling |
title_sort | dimensionality of motion and binding valency govern receptor ligand kinetics as revealed by agent based modeling |
topic | agent-based model ordinary differential equations antibody–antigen binding receptor–ligand interaction dimensionality of motion binding valency |
url | http://journal.frontiersin.org/article/10.3389/fimmu.2017.01692/full |
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