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Potential Aggregation-Prone Regions in Complementarity-Determining Regions of Antibodies and Their Contribution Towards Antigen Recognition: A Computational Analysis

PURPOSE: To analyze contribution of short aggregation-prone regions (APRs), which may self-associate via cross-β motif and were earlier identified in therapeutic mAbs, towards antigen recognition via structural analyses of antibody-antigen complexes. METHODS: A dataset of 29 publically available hig...

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Autores principales: Wang, Xiaoling, Singh, Satish K., Kumar, Sandeep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088613/
https://www.ncbi.nlm.nih.gov/pubmed/20422267
http://dx.doi.org/10.1007/s11095-010-0143-5
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author Wang, Xiaoling
Singh, Satish K.
Kumar, Sandeep
author_facet Wang, Xiaoling
Singh, Satish K.
Kumar, Sandeep
author_sort Wang, Xiaoling
collection PubMed
description PURPOSE: To analyze contribution of short aggregation-prone regions (APRs), which may self-associate via cross-β motif and were earlier identified in therapeutic mAbs, towards antigen recognition via structural analyses of antibody-antigen complexes. METHODS: A dataset of 29 publically available high-resolution crystal structures of Fab-antigen complexes was collected. Contribution of APRs towards the surface areas of the Fabs buried by the cognate antigens was computed. Propensities of amino acids to occur in APRs and to be involved in antigen binding were compared. Coincidence between APRs and individual CDR loops was examined. RESULTS: All Fabs in the dataset contain at least one APR in CDR loops and adjacent framework β-strands. The average contribution of APRs towards buried surface area of Fabs is 16.0 ± 10.7%. Aggregation and antigen recognition may be coupled via aromatic residues (Tyr, Trp), which occur with high propensities in both APRs and antigen binding sites. APRs are infrequent in the heavy chain CDR 3 (H3) loops (7%), but are frequent in H2 loops (45%). CONCLUSIONS: Co-incidence of APRs with antigen recognition sites can potentially lead to the loss of function upon aggregation. Rational structure-based design or selection strategies are suggested for biotherapeutics with improved druggability while maintaining potency. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11095-010-0143-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-70886132020-03-23 Potential Aggregation-Prone Regions in Complementarity-Determining Regions of Antibodies and Their Contribution Towards Antigen Recognition: A Computational Analysis Wang, Xiaoling Singh, Satish K. Kumar, Sandeep Pharm Res Research Paper PURPOSE: To analyze contribution of short aggregation-prone regions (APRs), which may self-associate via cross-β motif and were earlier identified in therapeutic mAbs, towards antigen recognition via structural analyses of antibody-antigen complexes. METHODS: A dataset of 29 publically available high-resolution crystal structures of Fab-antigen complexes was collected. Contribution of APRs towards the surface areas of the Fabs buried by the cognate antigens was computed. Propensities of amino acids to occur in APRs and to be involved in antigen binding were compared. Coincidence between APRs and individual CDR loops was examined. RESULTS: All Fabs in the dataset contain at least one APR in CDR loops and adjacent framework β-strands. The average contribution of APRs towards buried surface area of Fabs is 16.0 ± 10.7%. Aggregation and antigen recognition may be coupled via aromatic residues (Tyr, Trp), which occur with high propensities in both APRs and antigen binding sites. APRs are infrequent in the heavy chain CDR 3 (H3) loops (7%), but are frequent in H2 loops (45%). CONCLUSIONS: Co-incidence of APRs with antigen recognition sites can potentially lead to the loss of function upon aggregation. Rational structure-based design or selection strategies are suggested for biotherapeutics with improved druggability while maintaining potency. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11095-010-0143-5) contains supplementary material, which is available to authorized users. Springer US 2010-04-27 2010 /pmc/articles/PMC7088613/ /pubmed/20422267 http://dx.doi.org/10.1007/s11095-010-0143-5 Text en © Springer Science+Business Media, LLC 2010 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Paper
Wang, Xiaoling
Singh, Satish K.
Kumar, Sandeep
Potential Aggregation-Prone Regions in Complementarity-Determining Regions of Antibodies and Their Contribution Towards Antigen Recognition: A Computational Analysis
title Potential Aggregation-Prone Regions in Complementarity-Determining Regions of Antibodies and Their Contribution Towards Antigen Recognition: A Computational Analysis
title_full Potential Aggregation-Prone Regions in Complementarity-Determining Regions of Antibodies and Their Contribution Towards Antigen Recognition: A Computational Analysis
title_fullStr Potential Aggregation-Prone Regions in Complementarity-Determining Regions of Antibodies and Their Contribution Towards Antigen Recognition: A Computational Analysis
title_full_unstemmed Potential Aggregation-Prone Regions in Complementarity-Determining Regions of Antibodies and Their Contribution Towards Antigen Recognition: A Computational Analysis
title_short Potential Aggregation-Prone Regions in Complementarity-Determining Regions of Antibodies and Their Contribution Towards Antigen Recognition: A Computational Analysis
title_sort potential aggregation-prone regions in complementarity-determining regions of antibodies and their contribution towards antigen recognition: a computational analysis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088613/
https://www.ncbi.nlm.nih.gov/pubmed/20422267
http://dx.doi.org/10.1007/s11095-010-0143-5
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