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Dataset Information

CPHNet: a novel pipeline for anti-HAPE drug screening via deep learning-based Cell Painting scoring.


ABSTRACT:

Background

High altitude pulmonary edema (HAPE) poses a significant medical challenge to individuals ascending rapidly to high altitudes. Hypoxia-induced cellular morphological changes in the alveolar-capillary barrier such as mitochondrial structural alterations and cytoskeletal reorganization, play a crucial role in the pathogenesis of HAPE. These morphological changes are critical in understanding the cellular response to hypoxia and represent potential therapeutic targets. However, there is still a lack of effective and valid drug discovery strategies for anti-HAPE treatments based on these cellular morphological features. This study aims to develop a pipeline that focuses on morphological alterations in Cell Painting images to identify potential therapeutic agents for HAPE int

SUBMITTER: Sun DZ 

PROVIDER: S-EPMC11890554 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature