Leveraging AI to automate detection and quantification of extrachromosomal DNA to decode drug responses

Leveraging AI to automate detection and quantification of extrachromosomal DNA to decode drug responses

IntroductionTraditional drug discovery efforts primarily target rapid, reversible protein-mediated adaptations to counteract cancer cell resistance. However, cancer cells also utilize DNA-based strategies, often perceived as slow, irreversible changes like point mutations or drug-resistant clone sel...

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Main Authors: Kohen Goble, Aarav Mehta, Damien Guilbaud, Jacob Fessler, Jingting Chen, William Nenad, Christina G. Ford, Oliver Cope, Darby Cheng, William Dennis, Nithya Gurumurthy, Yue Wang, Kriti Shukla, Elizabeth Brunk
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Pharmacology
Subjects:
cytogenetics
extrachromosomal DNA
ecDNA
double minute chromosomes
machine learning
computer vision
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2024.1516621/full
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https://www.frontiersin.org/articles/10.3389/fphar.2024.1516621/full

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