AI-recognized mitochondrial phenotype enables identification of drug targets
Author:
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s43588-024-00682-9.pdf
Reference4 articles.
1. Chandrasekaran, S. N. et al. Image-based profiling for drug discovery: due for a machine-learning upgrade? Nat. Rev. Drug Discov. 20, 145–159 (2021). A review article that describes in detail the application of image-based profiling to the field of drug discovery through machine learning methods.
2. Way, G. P. et al. Morphology and gene expression profiling provide complementary information for mapping cell state. Cell Syst. 13, 911–923.e9 (2022). This paper reports that morphology and gene expression are complementary profiling assays, each with its own advantages and disadvantages.
3. Spinelli, H. M. The multifaceted contributions of mitochondria to cellular metabolism. Nat. Cell Biol. 20, 745–754 (2018). A review article that presents multifaceted roles of mitochondria in cell metabolism.
4. Eisner, P. M. et al. Mitochondrial dynamics in adaptive and maladaptive cellular stress responses. Nat. Cell Biol. 20, 755–765 (2018). A review article that presents the role of mitochondrial dynamics in adaptive and non-adaptive cellular stress responses.
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