Fungal Infection

Morphological regulation of filamentous fungi improves industrial production.

Filamentous fungi have emerged as ideal chassis cells for high-value products such as industrial enzymes, therapeutic proteins, and antibiotics, due to their broad substrate adaptability, efficient protein secretion capacity, and well-developed post-translational modification systems. However, the morphological characteristics of filamentous fungi during submerged fermentation present a significan...

The spread of non-native species.

The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions reshaping biodiversity patterns, ecosystem processes and services, and species interactions globally. Here, we review the facets underlying the spread of non-native species - the key process by which introductions translate into large-scale invasions...

Machine Learning- and AI-Driven QSAR Models for the Discovery of Novel Potential Fungicides: FAPI (Fungicide Targeting Acid Phosphatase Inhibition).

Fungal pathogens like Podosphaera xanthii (powdery mildew) and Botrytis cinerea (gray mold) cause significant agricultural losses, with fungicide resi...

Advancing mold identification in the routine laboratory, performance of smartphone-based imaging and a newly developed convolutional neural network.

Mold identification in clinical diagnostics is traditionally labor-intensive and is dependent on expert interpretation. MoldVision is a deep-learning ...

Deciphering the microbial complexity of Chinese traditional sourdough through integrated learning.

Sourdough fermentation relies on a dynamic microbial consortium of fungi and bacteria, shaped by interspecies interactions and environmental condition...

A comprehensive combined dataset on Hibiscus and Tea plant leaf disease images for classifications.

In this study, we present a combined image dataset created from two distinct plant species: Hibiscus and Tea leaf. The dataset consists of high-resolu...

Mechanistic insights into marine-derived PDE6D inhibitors disrupting prenyl-binding to modulate leukemia-associated RAS trafficking.

Leukemia is a significant clinical issue, and some of its subtypes are characterized by dysregulated prenylation-dependent signaling that contributes ...

Cinnamic acid derivatives in agrochemicals: current use and future perspective.

BACKGROUND: Cinnamic acid (CA) and its derivatives are widely used in various fields because of their robust, broad-spectrum biological activities and...

Generation of antifungals to combat drug resistance using language models and diffusion models.

INTRODUCTION: The growing scarcity of effective antifungal agents, coupled with rising drug‑resistance, creates an urgent demand for novel therapeutic...

Biotechnologies based on the fungal bioluminescence pathway.

The fungal bioluminescence pathway (FBP) offers a unique and sustainable system for continuous light emission through self-sustaining, nontoxic substr...

Diagnosis of Acute, Chronic (with and without Nasal Polyps), and Fungal Sinusitis.

Rhinosinusitis is a spectrum of diseases with varied causes, presentations, and diagnostic approaches-from viral and bacterial acute rhinosinusitis to...

Microbial-mycotoxin interactions in food: A review of ecotoxicological implications and omics approaches for understanding detoxification mechanisms.

Mycotoxins, toxic secondary metabolites produced by fungi such as Aspergillus, Fusarium, and Penicillium, frequently contaminate food supplies, posing...

Fusarium-responsive materials: A next-generation strategy for sensing, actuation, and sustainable crop protection.

Fusarium spp. are among the most destructive pathogens in global agriculture, posing serious threats to food security, plant health, and sustainabilit...

Accurate detection of rice blast using UAV hyperspectral red-edge bands and deep learning method based on cross-attention.

Rice blast is a fungal disease that threatens rice yield and quality, and timely detection methods are essential to control its spread. Unmanned aeria...

Recent biotechnological advances in bioprospecting secondary metabolites from endolichenic fungi for drug discovery applications.

Endolichenic fungi (ELF) are symbiotic organisms residing in lichens. Since the initial report of its application in natural products and drug discove...

Spectroscopic characterization of three fungicides using terahertz spectroscopy and DFT theory, combined with convolutional neural networks for quantitative analysis of tebuconazole.

Fungicides are essential agrochemicals for the prevention and control of plant diseases. Counterfeit products, often lacking enough active ingredients...

Computational glycosyltransferases masked deoxynivalenol toxicity and halted FHB spread in wheat grains.

INTRODUCTION: Contamination of cereal grains by deoxynivalenol (DON) poses a significant threat to food safety. This toxic secondary metabolite, produ...

Advancing fungal phylogenetics: integrating modern sequencing, dark taxa discovery, and machine learning.

The study of fungal genetics has undergone transformative advancements in recent decades, profoundly reshaping our understanding of fungal diversity, ...

Automatic fluorescence microscopic image analyzer: a novel AI-based tool for early diagnosing superficial fungal infections.

Enhancing medical students' diagnostic accuracy of infectious keratitis with AI-generated images.

BACKGROUND: Developing students' ability to accurately diagnose various types of keratitis is challenging. This study aims to compare the effectivenes...