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SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery
Two genes are synthetic lethal if mutations in both genes result in impaired cell viability, while mutation of either gene does not affect the cell survival. The potential usage of synthetic lethality (SL) in anticancer therapeutics has attracted many researchers to identify synthetic lethal gene pa...
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/PMC9216587/ https://www.ncbi.nlm.nih.gov/pubmed/35562840 http://dx.doi.org/10.1093/database/baac030 |
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author | Wang, Jie Wu, Min Huang, Xuhui Wang, Li Zhang, Sophia Liu, Hui Zheng, Jie |
author_facet | Wang, Jie Wu, Min Huang, Xuhui Wang, Li Zhang, Sophia Liu, Hui Zheng, Jie |
author_sort | Wang, Jie |
collection | PubMed |
description | Two genes are synthetic lethal if mutations in both genes result in impaired cell viability, while mutation of either gene does not affect the cell survival. The potential usage of synthetic lethality (SL) in anticancer therapeutics has attracted many researchers to identify synthetic lethal gene pairs. To include newly identified SLs and more related knowledge, we present a new version of the SynLethDB database to facilitate the discovery of clinically relevant SLs. We extended the first version of SynLethDB database significantly by including new SLs identified through Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) screening, a knowledge graph about human SLs, a new web interface, etc. Over 16 000 new SLs and 26 types of other relationships have been added, encompassing relationships among 14 100 genes, 53 cancers, 1898 drugs, etc. Moreover, a brand-new web interface has been developed to include modules such as SL query by disease or compound, SL partner gene set enrichment analysis and knowledge graph browsing through a dynamic graph viewer. The data can be downloaded directly from the website or through the RESTful Application Programming Interfaces (APIs). Database URL: https://synlethdb.sist.shanghaitech.edu.cn/v2. |
format | Online Article Text |
id | pubmed-9216587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92165872022-06-23 SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery Wang, Jie Wu, Min Huang, Xuhui Wang, Li Zhang, Sophia Liu, Hui Zheng, Jie Database (Oxford) Database Update Two genes are synthetic lethal if mutations in both genes result in impaired cell viability, while mutation of either gene does not affect the cell survival. The potential usage of synthetic lethality (SL) in anticancer therapeutics has attracted many researchers to identify synthetic lethal gene pairs. To include newly identified SLs and more related knowledge, we present a new version of the SynLethDB database to facilitate the discovery of clinically relevant SLs. We extended the first version of SynLethDB database significantly by including new SLs identified through Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) screening, a knowledge graph about human SLs, a new web interface, etc. Over 16 000 new SLs and 26 types of other relationships have been added, encompassing relationships among 14 100 genes, 53 cancers, 1898 drugs, etc. Moreover, a brand-new web interface has been developed to include modules such as SL query by disease or compound, SL partner gene set enrichment analysis and knowledge graph browsing through a dynamic graph viewer. The data can be downloaded directly from the website or through the RESTful Application Programming Interfaces (APIs). Database URL: https://synlethdb.sist.shanghaitech.edu.cn/v2. Oxford University Press 2022-05-14 /pmc/articles/PMC9216587/ /pubmed/35562840 http://dx.doi.org/10.1093/database/baac030 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 | Database Update Wang, Jie Wu, Min Huang, Xuhui Wang, Li Zhang, Sophia Liu, Hui Zheng, Jie SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery |
title | SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery |
title_full | SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery |
title_fullStr | SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery |
title_full_unstemmed | SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery |
title_short | SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery |
title_sort | synlethdb 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery |
topic | Database Update |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216587/ https://www.ncbi.nlm.nih.gov/pubmed/35562840 http://dx.doi.org/10.1093/database/baac030 |
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