Vulture: VULnerabilities in impuTing drUg REsistance
Vulture: VULnerabilities in impuTing drUg REsistance
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DOI：
10.1145/3584371.3612993
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发表时间：
2023-09
期刊：
影响因子：
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通讯作者：
Aysegül Bumin;Megan Shah;Kejun Huang;Tamer Kahveci
中科院分区：
文献类型：
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作者：
Aysegül Bumin;Megan Shah;Kejun Huang;Tamer Kahveci
耐药性是指药物的有效性随着时间的推移而下降，并对癌症患者产生严重后果，因为从疾病开始使用不正确的药物不仅浪费了快速发展的癌症类型的宝贵治疗时间，而且还削弱了患者的自然防御机制。湿实验室实验的高成本需要用于耐药性预测的廉价计算方法。尽管多年来已经开发了许多不同的方法来进行药物反应预测，但很少有研究关注这些预测的可靠性。在本文中，我们开发了第一个框架，名为VultuRe（VULnerabilities in impuTing drUg Resistance），以识别耐药预测中的漏洞。我们的研究结果表明，每种药物的耐药性估算成功率可能不同，VultuRe有效地检测了药物反应估算中的漏洞，提出了克服错误预测的替代方案。
Drug resistance is the drop in the effectiveness of a medication over time, and has severe consequences for cancer patients, as the use of incorrect drugs from the onset of the disorder not only wastes valuable treatment time for the rapidly advancing cancer types but also weakens the natural defense mechanism of the patients. The high cost of wet-lab experiments necessitates cheap computational methods for drug resistance prediction. Although many different approaches have been developed over the years to perform drug response prediction, few studies focus on the reliability of these predictions. In this paper, we develop the first framework, named VultuRe (VULnerabilities in impuTing drUg REsistance), to identify the vulnerabilities in drug resistance prediction. Our results demonstrate that the success of drug resistance imputation might be different for each drug and VultuRe efficiently detects the vulnerabilities in drug response imputation, suggesting alternatives to overcome wrong predictions.