Artificial intelligence-based phenotypic screening using Aspergillus oryzae identified a novel antifungal RK-1205-I.

doi:10.1038/s41429-026-00937-9

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Article

Artificial intelligence-based phenotypic screening using Aspergillus oryzae identified a novel antifungal RK-1205-I.

The Journal of antibiotics - 1 Sept 2026

Futamura Yushi, Uno Hiroyuki, Sakuma Hiro, Aono Harumi, Kimura Tomoyuki, Sawa Ryuichi, Muramatsu Hideyuki, Shibuya Yuko, Igarashi Masayuki, Uson-Lopez Rachael, Yamamoto Kai, Muroi Makoto, Nogawa Toshihiko, Okano Akiko, Hori Yasuhiro, Kino Kuniki, Osada Hiroyuki

Abstract excerpt

When treated with various compounds, fungi exhibit characteristic morphological changes depending on their mode of action. Previously, we constructed morphology-based databases of the rice blast fungus Pyricularia oryzae and human pathogenic fungus Candida albicans and used them for antifungal screening. As these databases are manually created by human experts, objectivity and throughput may be a concern. To...

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PMID: 42321440
DOI: 10.1038/s41429-026-00937-9

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