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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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 |
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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 |
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