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...

Full description

Bibliographic Details
Main Authors: Teresa Lehnert, Marc Thilo Figge
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-11-01
Series:Frontiers in Immunology
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fimmu.2017.01692/full
_version_ 1819112284581003264
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.
first_indexed 2024-12-22T04:11:04Z
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
work_keys_str_mv AT teresalehnert dimensionalityofmotionandbindingvalencygovernreceptorligandkineticsasrevealedbyagentbasedmodeling
AT teresalehnert dimensionalityofmotionandbindingvalencygovernreceptorligandkineticsasrevealedbyagentbasedmodeling
AT marcthilofigge dimensionalityofmotionandbindingvalencygovernreceptorligandkineticsasrevealedbyagentbasedmodeling
AT marcthilofigge dimensionalityofmotionandbindingvalencygovernreceptorligandkineticsasrevealedbyagentbasedmodeling
AT marcthilofigge dimensionalityofmotionandbindingvalencygovernreceptorligandkineticsasrevealedbyagentbasedmodeling