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Studying the characteristics of nanobody CDR regions based on sequence analysis in combination with 3D structures

BACKGROUND: Single-domain antibodies or nanobodies have recently attracted much attention in research and applications because of their great potential and advantage over conventional antibodies. However, isolation of candidate nanobodies in the lab has been costly and time-consuming. Screening of l...

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Autores principales: Truong, Tuom Thi Tinh, Huynh, Viet Quoc, Vo, Nam Tri, Nguyen, Hoang Duc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684374/
https://www.ncbi.nlm.nih.gov/pubmed/36417012
http://dx.doi.org/10.1186/s43141-022-00439-9
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author Truong, Tuom Thi Tinh
Huynh, Viet Quoc
Vo, Nam Tri
Nguyen, Hoang Duc
author_facet Truong, Tuom Thi Tinh
Huynh, Viet Quoc
Vo, Nam Tri
Nguyen, Hoang Duc
author_sort Truong, Tuom Thi Tinh
collection PubMed
description BACKGROUND: Single-domain antibodies or nanobodies have recently attracted much attention in research and applications because of their great potential and advantage over conventional antibodies. However, isolation of candidate nanobodies in the lab has been costly and time-consuming. Screening of leading nanobody candidates through synthetic libraries is a promising alternative, but it requires prior knowledge to control the diversity of the complementarity-determining regions (CDRs) while still maintaining functionality. In this work, we identified sequence characteristics that could contribute to nanobody functionality by analyzing three datasets, CDR1, CDR2, and CDR3. RESULTS: By classification of amino acids based on physicochemical properties, we found that two different amino acid groups were sufficient for CDRs. The nonpolar group accounted for half of the total amino acid composition in these sequences. Observation of the highest occurrence of each amino acid revealed that the usage of some important amino acids such as tyrosine and serine was highly correlated with the length of the CDR3. Amino acid repeat motifs were also under-represented and highly restricted as 3-mers. Inspecting the crystallographic data also demonstrated conservation in structural coordinates of dominant amino acids such as methionine, isoleucine, valine, threonine, and tyrosine and certain positions in the CDR1, CDR2, and CDR3 sequences. CONCLUSIONS: We identified sequence characteristics that contributed to functional nanobodies including amino acid groups, the occurrence of each kind of amino acids, and repeat patterns. These results provide a simple set of rules to make it easier to generate desired candidates by computational means; also, they can be used as a reference to evaluate synthetic nanobodies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43141-022-00439-9.
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spelling pubmed-96843742022-11-28 Studying the characteristics of nanobody CDR regions based on sequence analysis in combination with 3D structures Truong, Tuom Thi Tinh Huynh, Viet Quoc Vo, Nam Tri Nguyen, Hoang Duc J Genet Eng Biotechnol Research BACKGROUND: Single-domain antibodies or nanobodies have recently attracted much attention in research and applications because of their great potential and advantage over conventional antibodies. However, isolation of candidate nanobodies in the lab has been costly and time-consuming. Screening of leading nanobody candidates through synthetic libraries is a promising alternative, but it requires prior knowledge to control the diversity of the complementarity-determining regions (CDRs) while still maintaining functionality. In this work, we identified sequence characteristics that could contribute to nanobody functionality by analyzing three datasets, CDR1, CDR2, and CDR3. RESULTS: By classification of amino acids based on physicochemical properties, we found that two different amino acid groups were sufficient for CDRs. The nonpolar group accounted for half of the total amino acid composition in these sequences. Observation of the highest occurrence of each amino acid revealed that the usage of some important amino acids such as tyrosine and serine was highly correlated with the length of the CDR3. Amino acid repeat motifs were also under-represented and highly restricted as 3-mers. Inspecting the crystallographic data also demonstrated conservation in structural coordinates of dominant amino acids such as methionine, isoleucine, valine, threonine, and tyrosine and certain positions in the CDR1, CDR2, and CDR3 sequences. CONCLUSIONS: We identified sequence characteristics that contributed to functional nanobodies including amino acid groups, the occurrence of each kind of amino acids, and repeat patterns. These results provide a simple set of rules to make it easier to generate desired candidates by computational means; also, they can be used as a reference to evaluate synthetic nanobodies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43141-022-00439-9. Springer Berlin Heidelberg 2022-11-21 /pmc/articles/PMC9684374/ /pubmed/36417012 http://dx.doi.org/10.1186/s43141-022-00439-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Truong, Tuom Thi Tinh
Huynh, Viet Quoc
Vo, Nam Tri
Nguyen, Hoang Duc
Studying the characteristics of nanobody CDR regions based on sequence analysis in combination with 3D structures
title Studying the characteristics of nanobody CDR regions based on sequence analysis in combination with 3D structures
title_full Studying the characteristics of nanobody CDR regions based on sequence analysis in combination with 3D structures
title_fullStr Studying the characteristics of nanobody CDR regions based on sequence analysis in combination with 3D structures
title_full_unstemmed Studying the characteristics of nanobody CDR regions based on sequence analysis in combination with 3D structures
title_short Studying the characteristics of nanobody CDR regions based on sequence analysis in combination with 3D structures
title_sort studying the characteristics of nanobody cdr regions based on sequence analysis in combination with 3d structures
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684374/
https://www.ncbi.nlm.nih.gov/pubmed/36417012
http://dx.doi.org/10.1186/s43141-022-00439-9
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