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Related Concept Videos

Antifungal Agents01:15

Antifungal Agents

Amphotericin B is a broad-spectrum antifungal agent that exploits structural differences between fungal and mammalian cell membranes. Its amphipathic structure—featuring a hydrophobic polyene-lactone ring and a hydrophilic region containing mycosamine and carboxylic acid groups—enables selective binding to ergosterol, a sterol predominantly found in fungal plasma membranes. This selective interaction underlies the drug’s antifungal activity, although weak binding to cholesterol contributes to...
Fungal Phylum Ascomycota01:28

Fungal Phylum Ascomycota

Phylum Ascomycota, a major division within the subkingdom Dikarya, comprises a diverse range of fungal species, including both unicellular yeasts and filamentous molds such as Aspergillus and Penicillium. These fungi thrive in a variety of habitats, from aquatic ecosystems to terrestrial environments, playing crucial ecological and economic roles.Morphology and ReproductionThe defining characteristic of Ascomycetes, commonly referred to as sac fungi, is the ascus—a sac-like structure that...

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Related Experiment Video

Updated: Jun 21, 2026

Detection of Invasive Pulmonary Aspergillosis in Haematological Malignancy Patients by using Lateral-flow Technology
08:01

Detection of Invasive Pulmonary Aspergillosis in Haematological Malignancy Patients by using Lateral-flow Technology

Published on: March 22, 2012

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

Yushi Futamura1,2,3, Hiroyuki Uno4,5, Hiro Sakuma6,4,5

  • 1Institute of Microbial Chemistry (BIKAKEN), 3-14-23 Kamiosaki, Shinagawa-ku, Tokyo, 141-0021, Japan. futamuray@bikaken.or.jp.

The Journal of Antibiotics
|June 19, 2026
PubMed
Summary
This summary is machine-generated.

A new artificial intelligence (AI) system automates fungal morphology analysis for antifungal drug discovery. This AI screened 7602 broths, identifying a novel compound, RK-1205-I, with potent antifungal activity.

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Last Updated: Jun 21, 2026

Detection of Invasive Pulmonary Aspergillosis in Haematological Malignancy Patients by using Lateral-flow Technology
08:01

Detection of Invasive Pulmonary Aspergillosis in Haematological Malignancy Patients by using Lateral-flow Technology

Published on: March 22, 2012

Area of Science:

  • Mycology
  • Biotechnology
  • Drug Discovery

Background:

  • Fungal infections pose significant health risks, necessitating novel antifungal agents.
  • Morphological changes in fungi indicate drug action but manual analysis is limited.
  • Previous morphology-based screening relied on expert interpretation, raising concerns about objectivity and throughput.

Purpose of the Study:

  • To develop an artificial intelligence (AI)-based automated classification system for fungal morphological changes.
  • To utilize this AI system for high-throughput screening of microbial broths for antifungal activity.
  • To identify novel antifungal compounds and their mechanisms of action.

Main Methods:

  • Development of an AI-based automated classification system for morphological changes in Aspergillus oryzae.
  • Screening of 7602 microbial broths using the AI system.
  • Antifungal-activity-guided purification to isolate active compounds.
  • Chemical structure elucidation and biological activity testing of isolated compounds.
  • Inhibition assays for protein phosphatase 2A (PP2A) activity.

Main Results:

  • The AI system successfully screened 7602 microbial broths.
  • Culture broth of Streptomyces sp. RK21-A1205 showed potent antifungal activity and induced unique morphological changes.
  • A new fostriecin derivative, RK-1205-I (1), was identified as the active metabolite.
  • Compound 1 exhibited strong growth inhibition against Aspergillus oryzae, Aspergillus fumigatus, and Candida auris (IC50 values 0.020 and 0.21 µM, respectively).
  • Compound 1 inhibited fungal protein phosphatase 2A (PP2A) activity.

Conclusions:

  • The developed AI-based phenotypic screening system effectively distinguishes AI-induced morphological changes.
  • The AI system facilitates the discovery of novel antifungal compounds.
  • RK-1205-I represents a promising new antifungal agent with a novel mechanism of action targeting PP2A.