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Vulture: VULnerabilities in impuTing drUg REsistance

Published: 04 October 2023 Publication History

Abstract

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.

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    cover image ACM Conferences
    BCB '23: Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
    September 2023
    626 pages
    ISBN:9798400701269
    DOI:10.1145/3584371
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 04 October 2023

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    Author Tags

    1. vulnerable drug repurposing
    2. drug resistance
    3. resilient AI

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