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SYNBIP: synthetic binding proteins for research, diagnosis and therapy

The success of protein engineering and design has extensively expanded the protein space, which presents a promising strategy for creating next-generation proteins of diverse functions. Among these proteins, the synthetic binding proteins (SBPs) are smaller, more stable, less immunogenic, and better...

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Autores principales: Wang, Xiaona, Li, Fengcheng, Qiu, Wenqi, Xu, Binbin, Li, Yanlin, Lian, Xichen, Yu, Hongyan, Zhang, Zhao, Wang, Jianxin, Li, Zhaorong, Xue, Weiwei, Zhu, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728148/
https://www.ncbi.nlm.nih.gov/pubmed/34664670
http://dx.doi.org/10.1093/nar/gkab926
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author Wang, Xiaona
Li, Fengcheng
Qiu, Wenqi
Xu, Binbin
Li, Yanlin
Lian, Xichen
Yu, Hongyan
Zhang, Zhao
Wang, Jianxin
Li, Zhaorong
Xue, Weiwei
Zhu, Feng
author_facet Wang, Xiaona
Li, Fengcheng
Qiu, Wenqi
Xu, Binbin
Li, Yanlin
Lian, Xichen
Yu, Hongyan
Zhang, Zhao
Wang, Jianxin
Li, Zhaorong
Xue, Weiwei
Zhu, Feng
author_sort Wang, Xiaona
collection PubMed
description The success of protein engineering and design has extensively expanded the protein space, which presents a promising strategy for creating next-generation proteins of diverse functions. Among these proteins, the synthetic binding proteins (SBPs) are smaller, more stable, less immunogenic, and better of tissue penetration than others, which make the SBP-related data attracting extensive interest from worldwide scientists. However, no database has been developed to systematically provide the valuable information of SBPs yet. In this study, a database named ‘Synthetic Binding Proteins for Research, Diagnosis, and Therapy (SYNBIP)’ was thus introduced. This database is unique in (a) comprehensively describing thousands of SBPs from the perspectives of scaffolds, biophysical & functional properties, etc.; (b) panoramically illustrating the binding targets & the broad application of each SBP and (c) enabling a similarity search against the sequences of all SBPs and their binding targets. Since SBP is a human-made protein that has not been found in nature, the discovery of novel SBPs relied heavily on experimental protein engineering and could be greatly facilitated by in-silico studies (such as AI and computational modeling). Thus, the data provided in SYNBIP could lay a solid foundation for the future development of novel SBPs. The SYNBIP is accessible without login requirement at both official (https://idrblab.org/synbip/) and mirror (http://synbip.idrblab.net/) sites.
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spelling pubmed-87281482022-01-05 SYNBIP: synthetic binding proteins for research, diagnosis and therapy Wang, Xiaona Li, Fengcheng Qiu, Wenqi Xu, Binbin Li, Yanlin Lian, Xichen Yu, Hongyan Zhang, Zhao Wang, Jianxin Li, Zhaorong Xue, Weiwei Zhu, Feng Nucleic Acids Res Database Issue The success of protein engineering and design has extensively expanded the protein space, which presents a promising strategy for creating next-generation proteins of diverse functions. Among these proteins, the synthetic binding proteins (SBPs) are smaller, more stable, less immunogenic, and better of tissue penetration than others, which make the SBP-related data attracting extensive interest from worldwide scientists. However, no database has been developed to systematically provide the valuable information of SBPs yet. In this study, a database named ‘Synthetic Binding Proteins for Research, Diagnosis, and Therapy (SYNBIP)’ was thus introduced. This database is unique in (a) comprehensively describing thousands of SBPs from the perspectives of scaffolds, biophysical & functional properties, etc.; (b) panoramically illustrating the binding targets & the broad application of each SBP and (c) enabling a similarity search against the sequences of all SBPs and their binding targets. Since SBP is a human-made protein that has not been found in nature, the discovery of novel SBPs relied heavily on experimental protein engineering and could be greatly facilitated by in-silico studies (such as AI and computational modeling). Thus, the data provided in SYNBIP could lay a solid foundation for the future development of novel SBPs. The SYNBIP is accessible without login requirement at both official (https://idrblab.org/synbip/) and mirror (http://synbip.idrblab.net/) sites. Oxford University Press 2021-10-19 /pmc/articles/PMC8728148/ /pubmed/34664670 http://dx.doi.org/10.1093/nar/gkab926 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Wang, Xiaona
Li, Fengcheng
Qiu, Wenqi
Xu, Binbin
Li, Yanlin
Lian, Xichen
Yu, Hongyan
Zhang, Zhao
Wang, Jianxin
Li, Zhaorong
Xue, Weiwei
Zhu, Feng
SYNBIP: synthetic binding proteins for research, diagnosis and therapy
title SYNBIP: synthetic binding proteins for research, diagnosis and therapy
title_full SYNBIP: synthetic binding proteins for research, diagnosis and therapy
title_fullStr SYNBIP: synthetic binding proteins for research, diagnosis and therapy
title_full_unstemmed SYNBIP: synthetic binding proteins for research, diagnosis and therapy
title_short SYNBIP: synthetic binding proteins for research, diagnosis and therapy
title_sort synbip: synthetic binding proteins for research, diagnosis and therapy
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728148/
https://www.ncbi.nlm.nih.gov/pubmed/34664670
http://dx.doi.org/10.1093/nar/gkab926
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