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数据集成工作流，以识别针对合成致命相互作用的药物组合

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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

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数据集成工作流，以识别针对合成致命相互作用的药物组合

DOI:

10.3791/60328-v

•

07:40 min

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May 27, 2021

•

Maximilian Marhold, Andreas Heinzel, Almas Merchant, Paul Perco, Michael Krainer

¹Department of Internal Medicine I – Division of Oncology, Comprehensive Cancer Center,Medical University of Vienna, ²Department of Nephrology,Medical University of Vienna, ³Department of Internal Medicine IV,Medical University Innsbruck

Capítulos

00:04Introduction
01:03Retrieving Synthetic Lethal Gene Pairs
01:48Translating Synthetic Lethal Gene Pairs to Human Orthologs
03:20Mapping Synthetic Lethal Interaction Partners to Drugs
04:28Establish the Set of Currently Tested Drug Combinations in Clinical Trials
04:45Testing Proposed Drug Combinations In Vitro
05:28Results: Proposed Novel Drug Combinations for Ovarian and Breast Cancer
06:37Conclusion

Summary

Tadução automática

模型生物体中的大型基因筛选导致对负基因相互作用的识别。在这里，我们使用模型生物体中遗传筛选的数据来描述数据集成工作流，以描述针对癌症中合成致命相互作用的药物组合。

Tags

Keywords: Data Integration Drug Combinations Synthetic Lethality BioGRID Negative Genetic Interactions Model Organism Ensembl BioMart Orthologous Genes Data Retrieval Cancer BRCA PARP Inhibitors

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