Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Jie, Wu, Min, Huang, Xuhui, Wang, Li, Zhang, Sophia, Liu, Hui, Zheng, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
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
_version_ 1784731458672263168
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
work_keys_str_mv AT wangjie synlethdb20awebbasedknowledgegraphdatabaseonsyntheticlethalityfornovelanticancerdrugdiscovery
AT wumin synlethdb20awebbasedknowledgegraphdatabaseonsyntheticlethalityfornovelanticancerdrugdiscovery
AT huangxuhui synlethdb20awebbasedknowledgegraphdatabaseonsyntheticlethalityfornovelanticancerdrugdiscovery
AT wangli synlethdb20awebbasedknowledgegraphdatabaseonsyntheticlethalityfornovelanticancerdrugdiscovery
AT zhangsophia synlethdb20awebbasedknowledgegraphdatabaseonsyntheticlethalityfornovelanticancerdrugdiscovery
AT liuhui synlethdb20awebbasedknowledgegraphdatabaseonsyntheticlethalityfornovelanticancerdrugdiscovery
AT zhengjie synlethdb20awebbasedknowledgegraphdatabaseonsyntheticlethalityfornovelanticancerdrugdiscovery