Quantitative Description of Surface Complementarity of Antibody-Antigen Interfaces

Antibodies have the remarkable ability to recognise their cognate antigens with extraordinary affinity and specificity. Discerning the rules that define antibody-antigen recognition is a fundamental step in the rational design and engineering of functional antibodies with desired properties. In this...

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Main Authors: Lorenzo Di Rienzo, Edoardo Milanetti, Giancarlo Ruocco, Rosalba Lepore
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Molecular Biosciences
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2021.749784/full
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spelling doaj-70b9c33bd8eb421a8ca2a491f4184dab2021-09-30T04:35:19ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2021-09-01810.3389/fmolb.2021.749784749784Quantitative Description of Surface Complementarity of Antibody-Antigen InterfacesLorenzo Di Rienzo0Edoardo Milanetti1Edoardo Milanetti2Giancarlo Ruocco3Giancarlo Ruocco4Rosalba Lepore5Center for Life Nano and Neuro-Science, Istituto Italiano di Tecnologia, Rome, ItalyCenter for Life Nano and Neuro-Science, Istituto Italiano di Tecnologia, Rome, ItalyDepartment of Physics, Sapienza University, Rome, ItalyCenter for Life Nano and Neuro-Science, Istituto Italiano di Tecnologia, Rome, ItalyDepartment of Physics, Sapienza University, Rome, ItalyDepartment of Biomedicine, Basel University Hospital and University of Basel, Basel, SwitzerlandAntibodies have the remarkable ability to recognise their cognate antigens with extraordinary affinity and specificity. Discerning the rules that define antibody-antigen recognition is a fundamental step in the rational design and engineering of functional antibodies with desired properties. In this study we apply the 3D Zernike formalism to the analysis of the surface properties of the antibody complementary determining regions (CDRs). Our results show that shape and electrostatic 3DZD descriptors of the surface of the CDRs are predictive of antigen specificity, with classification accuracy of 81% and area under the receiver operating characteristic curve (AUC) of 0.85. Additionally, while in terms of surface size, solvent accessibility and amino acid composition, antibody epitopes are typically not distinguishable from non-epitope, solvent-exposed regions of the antigen, the 3DZD descriptors detect significantly higher surface complementarity to the paratope, and are able to predict correct paratope-epitope interaction with an AUC = 0.75.https://www.frontiersin.org/articles/10.3389/fmolb.2021.749784/fullsurface complementarityantibody complementarity determining regionsantibody—antigen complexantigen recognitionzernike polynomials
collection DOAJ
language English
format Article
sources DOAJ
author Lorenzo Di Rienzo
Edoardo Milanetti
Edoardo Milanetti
Giancarlo Ruocco
Giancarlo Ruocco
Rosalba Lepore
spellingShingle Lorenzo Di Rienzo
Edoardo Milanetti
Edoardo Milanetti
Giancarlo Ruocco
Giancarlo Ruocco
Rosalba Lepore
Quantitative Description of Surface Complementarity of Antibody-Antigen Interfaces
Frontiers in Molecular Biosciences
surface complementarity
antibody complementarity determining regions
antibody—antigen complex
antigen recognition
zernike polynomials
author_facet Lorenzo Di Rienzo
Edoardo Milanetti
Edoardo Milanetti
Giancarlo Ruocco
Giancarlo Ruocco
Rosalba Lepore
author_sort Lorenzo Di Rienzo
title Quantitative Description of Surface Complementarity of Antibody-Antigen Interfaces
title_short Quantitative Description of Surface Complementarity of Antibody-Antigen Interfaces
title_full Quantitative Description of Surface Complementarity of Antibody-Antigen Interfaces
title_fullStr Quantitative Description of Surface Complementarity of Antibody-Antigen Interfaces
title_full_unstemmed Quantitative Description of Surface Complementarity of Antibody-Antigen Interfaces
title_sort quantitative description of surface complementarity of antibody-antigen interfaces
publisher Frontiers Media S.A.
series Frontiers in Molecular Biosciences
issn 2296-889X
publishDate 2021-09-01
description Antibodies have the remarkable ability to recognise their cognate antigens with extraordinary affinity and specificity. Discerning the rules that define antibody-antigen recognition is a fundamental step in the rational design and engineering of functional antibodies with desired properties. In this study we apply the 3D Zernike formalism to the analysis of the surface properties of the antibody complementary determining regions (CDRs). Our results show that shape and electrostatic 3DZD descriptors of the surface of the CDRs are predictive of antigen specificity, with classification accuracy of 81% and area under the receiver operating characteristic curve (AUC) of 0.85. Additionally, while in terms of surface size, solvent accessibility and amino acid composition, antibody epitopes are typically not distinguishable from non-epitope, solvent-exposed regions of the antigen, the 3DZD descriptors detect significantly higher surface complementarity to the paratope, and are able to predict correct paratope-epitope interaction with an AUC = 0.75.
topic surface complementarity
antibody complementarity determining regions
antibody—antigen complex
antigen recognition
zernike polynomials
url https://www.frontiersin.org/articles/10.3389/fmolb.2021.749784/full
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