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HCDT: an integrated highly confident drug–target resource
Drug–target association plays an important role in drug discovery, drug repositioning, drug synergy prediction, etc. Currently, a lot of drug-related databases, such as DrugBank and BindingDB, have emerged. However, these databases are separate, incomplete and non-uniform with different criteria. He...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684616/ https://www.ncbi.nlm.nih.gov/pubmed/36420558 http://dx.doi.org/10.1093/database/baac101 |
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author | Chen, Jiaqi Chen, Zhengxin Chen, Rufei Feng, Dehua Li, Tianyi Han, Huirui Bi, Xiaoman Wang, Zhenzhen Li, Kongning Li, Yongsheng Li, Xia Wang, Limei Li, Jin |
author_facet | Chen, Jiaqi Chen, Zhengxin Chen, Rufei Feng, Dehua Li, Tianyi Han, Huirui Bi, Xiaoman Wang, Zhenzhen Li, Kongning Li, Yongsheng Li, Xia Wang, Limei Li, Jin |
author_sort | Chen, Jiaqi |
collection | PubMed |
description | Drug–target association plays an important role in drug discovery, drug repositioning, drug synergy prediction, etc. Currently, a lot of drug-related databases, such as DrugBank and BindingDB, have emerged. However, these databases are separate, incomplete and non-uniform with different criteria. Here, we integrated eight drug-related databases; collected, filtered and supplemented drugs, target genes and experimentally validated (highly confident) associations and built a highly confident drug–target (HCDT: http://hainmu-biobigdata.com/hcdt) database. HCDT database includes 500 681 HCDT associations between 299 458 drugs and 5618 target genes. Compared to individual databases, HCDT database contains 1.1 to 254.2 times drugs, 1.8–5.5 times target genes and 1.4–27.7 times drug–target associations. It is normative, publicly available and easy for searching, browsing and downloading. Together with multi-omics data, it will be a good resource in analyzing the drug functional mechanism, mining drug-related biological pathways, predicting drug synergy, etc. Database URL: http://hainmu-biobigdata.com/hcdt |
format | Online Article Text |
id | pubmed-9684616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-96846162022-11-25 HCDT: an integrated highly confident drug–target resource Chen, Jiaqi Chen, Zhengxin Chen, Rufei Feng, Dehua Li, Tianyi Han, Huirui Bi, Xiaoman Wang, Zhenzhen Li, Kongning Li, Yongsheng Li, Xia Wang, Limei Li, Jin Database (Oxford) Original Article Drug–target association plays an important role in drug discovery, drug repositioning, drug synergy prediction, etc. Currently, a lot of drug-related databases, such as DrugBank and BindingDB, have emerged. However, these databases are separate, incomplete and non-uniform with different criteria. Here, we integrated eight drug-related databases; collected, filtered and supplemented drugs, target genes and experimentally validated (highly confident) associations and built a highly confident drug–target (HCDT: http://hainmu-biobigdata.com/hcdt) database. HCDT database includes 500 681 HCDT associations between 299 458 drugs and 5618 target genes. Compared to individual databases, HCDT database contains 1.1 to 254.2 times drugs, 1.8–5.5 times target genes and 1.4–27.7 times drug–target associations. It is normative, publicly available and easy for searching, browsing and downloading. Together with multi-omics data, it will be a good resource in analyzing the drug functional mechanism, mining drug-related biological pathways, predicting drug synergy, etc. Database URL: http://hainmu-biobigdata.com/hcdt Oxford University Press 2022-11-24 /pmc/articles/PMC9684616/ /pubmed/36420558 http://dx.doi.org/10.1093/database/baac101 Text en © The Author(s) 2022. Published by Oxford University Press. 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 | Original Article Chen, Jiaqi Chen, Zhengxin Chen, Rufei Feng, Dehua Li, Tianyi Han, Huirui Bi, Xiaoman Wang, Zhenzhen Li, Kongning Li, Yongsheng Li, Xia Wang, Limei Li, Jin HCDT: an integrated highly confident drug–target resource |
title | HCDT: an integrated highly confident drug–target resource |
title_full | HCDT: an integrated highly confident drug–target resource |
title_fullStr | HCDT: an integrated highly confident drug–target resource |
title_full_unstemmed | HCDT: an integrated highly confident drug–target resource |
title_short | HCDT: an integrated highly confident drug–target resource |
title_sort | hcdt: an integrated highly confident drug–target resource |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684616/ https://www.ncbi.nlm.nih.gov/pubmed/36420558 http://dx.doi.org/10.1093/database/baac101 |
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