Cargando…

AICD: an integrated anti-inflammatory compounds database for drug discovery

Systemic or local inflammation drives the pathogenesis of various human diseases. Small compounds with anti-inflammatory properties hold great potential for clinical translation. Over recent decades, many compounds have been screened for their action against inflammation-related targets. Databases t...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Kun, Xiao, Jianyong, Liu, Xiaodong, Jiang, Zhuqiao, Zhan, Yujuan, Yin, Ting, He, Lina, Zhang, Fangyuan, Xing, Shangping, Chen, Bonan, Li, Yingshi, Zhang, Fengxue, Kuang, Zaoyuan, Du, Biaoyan, Gu, Jiangyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533287/
https://www.ncbi.nlm.nih.gov/pubmed/31123286
http://dx.doi.org/10.1038/s41598-019-44227-x
_version_ 1783421165948108800
author Wang, Kun
Xiao, Jianyong
Liu, Xiaodong
Jiang, Zhuqiao
Zhan, Yujuan
Yin, Ting
He, Lina
Zhang, Fangyuan
Xing, Shangping
Chen, Bonan
Li, Yingshi
Zhang, Fengxue
Kuang, Zaoyuan
Du, Biaoyan
Gu, Jiangyong
author_facet Wang, Kun
Xiao, Jianyong
Liu, Xiaodong
Jiang, Zhuqiao
Zhan, Yujuan
Yin, Ting
He, Lina
Zhang, Fangyuan
Xing, Shangping
Chen, Bonan
Li, Yingshi
Zhang, Fengxue
Kuang, Zaoyuan
Du, Biaoyan
Gu, Jiangyong
author_sort Wang, Kun
collection PubMed
description Systemic or local inflammation drives the pathogenesis of various human diseases. Small compounds with anti-inflammatory properties hold great potential for clinical translation. Over recent decades, many compounds have been screened for their action against inflammation-related targets. Databases that integrate the physicochemical properties and bioassay results of these compounds are lacking. We created an “Anti-Inflammatory Compounds Database” (AICD) to deposit compounds with potential anti-inflammation activities. A total of 232 inflammation-related targets were recruited by the AICD. Gene set enrichment analysis showed that these targets were involved in various human diseases. Bioassays of these targets were collected from open-access databases and adopted to extract 79,781 small molecules with information on chemical properties, candidate targets, bioassay models and bioassay results. Principal component analysis demonstrated that these deposited compounds were closely related to US Food and Drug Administration-approved drugs with respect to chemical space and chemical properties. Finally, pathway-based screening for drug combination/multi-target drugs provided a case study for drug discovery using the AICD. The AICD focuses on inflammation-related drug targets and contains substantial candidate compounds with high chemical diversity and good drug-like properties. It could be serviced for the discovery of anti-inflammatory medicines and can be accessed freely at http://956023.ichengyun.net/AICD/index.php.
format Online
Article
Text
id pubmed-6533287
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-65332872019-06-03 AICD: an integrated anti-inflammatory compounds database for drug discovery Wang, Kun Xiao, Jianyong Liu, Xiaodong Jiang, Zhuqiao Zhan, Yujuan Yin, Ting He, Lina Zhang, Fangyuan Xing, Shangping Chen, Bonan Li, Yingshi Zhang, Fengxue Kuang, Zaoyuan Du, Biaoyan Gu, Jiangyong Sci Rep Article Systemic or local inflammation drives the pathogenesis of various human diseases. Small compounds with anti-inflammatory properties hold great potential for clinical translation. Over recent decades, many compounds have been screened for their action against inflammation-related targets. Databases that integrate the physicochemical properties and bioassay results of these compounds are lacking. We created an “Anti-Inflammatory Compounds Database” (AICD) to deposit compounds with potential anti-inflammation activities. A total of 232 inflammation-related targets were recruited by the AICD. Gene set enrichment analysis showed that these targets were involved in various human diseases. Bioassays of these targets were collected from open-access databases and adopted to extract 79,781 small molecules with information on chemical properties, candidate targets, bioassay models and bioassay results. Principal component analysis demonstrated that these deposited compounds were closely related to US Food and Drug Administration-approved drugs with respect to chemical space and chemical properties. Finally, pathway-based screening for drug combination/multi-target drugs provided a case study for drug discovery using the AICD. The AICD focuses on inflammation-related drug targets and contains substantial candidate compounds with high chemical diversity and good drug-like properties. It could be serviced for the discovery of anti-inflammatory medicines and can be accessed freely at http://956023.ichengyun.net/AICD/index.php. Nature Publishing Group UK 2019-05-23 /pmc/articles/PMC6533287/ /pubmed/31123286 http://dx.doi.org/10.1038/s41598-019-44227-x Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Wang, Kun
Xiao, Jianyong
Liu, Xiaodong
Jiang, Zhuqiao
Zhan, Yujuan
Yin, Ting
He, Lina
Zhang, Fangyuan
Xing, Shangping
Chen, Bonan
Li, Yingshi
Zhang, Fengxue
Kuang, Zaoyuan
Du, Biaoyan
Gu, Jiangyong
AICD: an integrated anti-inflammatory compounds database for drug discovery
title AICD: an integrated anti-inflammatory compounds database for drug discovery
title_full AICD: an integrated anti-inflammatory compounds database for drug discovery
title_fullStr AICD: an integrated anti-inflammatory compounds database for drug discovery
title_full_unstemmed AICD: an integrated anti-inflammatory compounds database for drug discovery
title_short AICD: an integrated anti-inflammatory compounds database for drug discovery
title_sort aicd: an integrated anti-inflammatory compounds database for drug discovery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533287/
https://www.ncbi.nlm.nih.gov/pubmed/31123286
http://dx.doi.org/10.1038/s41598-019-44227-x
work_keys_str_mv AT wangkun aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT xiaojianyong aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT liuxiaodong aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT jiangzhuqiao aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT zhanyujuan aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT yinting aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT helina aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT zhangfangyuan aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT xingshangping aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT chenbonan aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT liyingshi aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT zhangfengxue aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT kuangzaoyuan aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT dubiaoyan aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery
AT gujiangyong aicdanintegratedantiinflammatorycompoundsdatabasefordrugdiscovery