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dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data

The last 18 months, or more, have seen a profound shift in our global experience, with many of us navigating a once-in-100-year pandemic. To date, COVID-19 remains a life-threatening pandemic with little to no targeted therapeutic recourse. The discovery of novel antiviral agents, such as vaccines a...

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Autores principales: Jhong, Jhih-Hua, Yao, Lantian, Pang, Yuxuan, Li, Zhongyan, Chung, Chia-Ru, Wang, Rulan, Li, Shangfu, Li, Wenshuo, Luo, Mengqi, Ma, Renfei, Huang, Yuqi, Zhu, Xiaoning, Zhang, Jiahong, Feng, Hexiang, Cheng, Qifan, Wang, Chunxuan, Xi, Kun, Wu, Li-Ching, Chang, Tzu-Hao, Horng, Jorng-Tzong, Zhu, Lizhe, Chiang, Ying-Chih, Wang, Zhuo, Lee, Tzong-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8690246/
https://www.ncbi.nlm.nih.gov/pubmed/34850155
http://dx.doi.org/10.1093/nar/gkab1080
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author Jhong, Jhih-Hua
Yao, Lantian
Pang, Yuxuan
Li, Zhongyan
Chung, Chia-Ru
Wang, Rulan
Li, Shangfu
Li, Wenshuo
Luo, Mengqi
Ma, Renfei
Huang, Yuqi
Zhu, Xiaoning
Zhang, Jiahong
Feng, Hexiang
Cheng, Qifan
Wang, Chunxuan
Xi, Kun
Wu, Li-Ching
Chang, Tzu-Hao
Horng, Jorng-Tzong
Zhu, Lizhe
Chiang, Ying-Chih
Wang, Zhuo
Lee, Tzong-Yi
author_facet Jhong, Jhih-Hua
Yao, Lantian
Pang, Yuxuan
Li, Zhongyan
Chung, Chia-Ru
Wang, Rulan
Li, Shangfu
Li, Wenshuo
Luo, Mengqi
Ma, Renfei
Huang, Yuqi
Zhu, Xiaoning
Zhang, Jiahong
Feng, Hexiang
Cheng, Qifan
Wang, Chunxuan
Xi, Kun
Wu, Li-Ching
Chang, Tzu-Hao
Horng, Jorng-Tzong
Zhu, Lizhe
Chiang, Ying-Chih
Wang, Zhuo
Lee, Tzong-Yi
author_sort Jhong, Jhih-Hua
collection PubMed
description The last 18 months, or more, have seen a profound shift in our global experience, with many of us navigating a once-in-100-year pandemic. To date, COVID-19 remains a life-threatening pandemic with little to no targeted therapeutic recourse. The discovery of novel antiviral agents, such as vaccines and drugs, can provide therapeutic solutions to save human beings from severe infections; however, there is no specifically effective antiviral treatment confirmed for now. Thus, great attention has been paid to the use of natural or artificial antimicrobial peptides (AMPs) as these compounds are widely regarded as promising solutions for the treatment of harmful microorganisms. Given the biological significance of AMPs, it was obvious that there was a significant need for a single platform for identifying and engaging with AMP data. This led to the creation of the dbAMP platform that provides comprehensive information about AMPs and facilitates their investigation and analysis. To date, the dbAMP has accumulated 26 447 AMPs and 2262 antimicrobial proteins from 3044 organisms using both database integration and manual curation of >4579 articles. In addition, dbAMP facilitates the evaluation of AMP structures using I-TASSER for automated protein structure prediction and structure-based functional annotation, providing predictive structure information for clinical drug development. Next-generation sequencing (NGS) and third-generation sequencing have been applied to generate large-scale sequencing reads from various environments, enabling greatly improved analysis of genome structure. In this update, we launch an efficient online tool that can effectively identify AMPs from genome/metagenome and proteome data of all species in a short period. In conclusion, these improvements promote the dbAMP as one of the most abundant and comprehensively annotated resources for AMPs. The updated dbAMP is now freely accessible at http://awi.cuhk.edu.cn/dbAMP.
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spelling pubmed-86902462022-01-05 dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data Jhong, Jhih-Hua Yao, Lantian Pang, Yuxuan Li, Zhongyan Chung, Chia-Ru Wang, Rulan Li, Shangfu Li, Wenshuo Luo, Mengqi Ma, Renfei Huang, Yuqi Zhu, Xiaoning Zhang, Jiahong Feng, Hexiang Cheng, Qifan Wang, Chunxuan Xi, Kun Wu, Li-Ching Chang, Tzu-Hao Horng, Jorng-Tzong Zhu, Lizhe Chiang, Ying-Chih Wang, Zhuo Lee, Tzong-Yi Nucleic Acids Res Database Issue The last 18 months, or more, have seen a profound shift in our global experience, with many of us navigating a once-in-100-year pandemic. To date, COVID-19 remains a life-threatening pandemic with little to no targeted therapeutic recourse. The discovery of novel antiviral agents, such as vaccines and drugs, can provide therapeutic solutions to save human beings from severe infections; however, there is no specifically effective antiviral treatment confirmed for now. Thus, great attention has been paid to the use of natural or artificial antimicrobial peptides (AMPs) as these compounds are widely regarded as promising solutions for the treatment of harmful microorganisms. Given the biological significance of AMPs, it was obvious that there was a significant need for a single platform for identifying and engaging with AMP data. This led to the creation of the dbAMP platform that provides comprehensive information about AMPs and facilitates their investigation and analysis. To date, the dbAMP has accumulated 26 447 AMPs and 2262 antimicrobial proteins from 3044 organisms using both database integration and manual curation of >4579 articles. In addition, dbAMP facilitates the evaluation of AMP structures using I-TASSER for automated protein structure prediction and structure-based functional annotation, providing predictive structure information for clinical drug development. Next-generation sequencing (NGS) and third-generation sequencing have been applied to generate large-scale sequencing reads from various environments, enabling greatly improved analysis of genome structure. In this update, we launch an efficient online tool that can effectively identify AMPs from genome/metagenome and proteome data of all species in a short period. In conclusion, these improvements promote the dbAMP as one of the most abundant and comprehensively annotated resources for AMPs. The updated dbAMP is now freely accessible at http://awi.cuhk.edu.cn/dbAMP. Oxford University Press 2021-11-29 /pmc/articles/PMC8690246/ /pubmed/34850155 http://dx.doi.org/10.1093/nar/gkab1080 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Jhong, Jhih-Hua
Yao, Lantian
Pang, Yuxuan
Li, Zhongyan
Chung, Chia-Ru
Wang, Rulan
Li, Shangfu
Li, Wenshuo
Luo, Mengqi
Ma, Renfei
Huang, Yuqi
Zhu, Xiaoning
Zhang, Jiahong
Feng, Hexiang
Cheng, Qifan
Wang, Chunxuan
Xi, Kun
Wu, Li-Ching
Chang, Tzu-Hao
Horng, Jorng-Tzong
Zhu, Lizhe
Chiang, Ying-Chih
Wang, Zhuo
Lee, Tzong-Yi
dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data
title dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data
title_full dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data
title_fullStr dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data
title_full_unstemmed dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data
title_short dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data
title_sort dbamp 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8690246/
https://www.ncbi.nlm.nih.gov/pubmed/34850155
http://dx.doi.org/10.1093/nar/gkab1080
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