Fungal Infection

Advanced droplet microfluidic platform for high-throughput screening of industrial fungi.

Industrial fungi are pivotal candidates for the production of a diverse array of bioproducts. To enhance their productivity, these strains are frequently subjected to genetic modifications. Following transformation, the selection of optimal production strains is critical; however, traditional screening methods often suffer from limitations in throughput and sensitivity. This article explores the t...

Editorial: Advancing sustainable management of fungal diseases in berry crops.

Multiple mutations in succinate dehydrogenase subunits conferring resistance to fungicide Pydiflumetofen in Magnaporthe oryzae.

BACKGROUND: Magnaporthe oryzae is the causal agent of rice blast disease. Pydiflumetofen, a novel succinate dehydrogenase inhibitor (SDHI), has promis...

Design and synthesis of novel cinnamamide derivatives-based lansiumamide B as potent fungicidal candidates.

BACKGROUND: Natural products have been and continue to be a significant resource for developing environmentally friendly pesticides with distinctive s...

Variations of the chemical components and biological activities of Thymus capitatus essential oil from three regions in Palestine.

Thymus capitatus is a widely utilized medicinal plant in Palestine. The main goal of this study was to assess the phytochemical content of T. capitatu...

In vitro antimicrobial and anticancer potentials of green synthesized luminescent carbon quantum dots derived from artichoke leaves.

Naturally derived carbon quantum dots (CQDs) are novel carbon-based nanomaterials with excellent traits. It is highly demanded to develop CQDs from bi...

Temporal wheat proteome remodeling by deoxynivalenol reveals novel detoxification signatures and strategies across cultivars.

Fusarium head blight (FHB) is a globally devastating fungal disease resulting in reduced grain yield and quality, along with contamination of grains w...

Investigating endophytic fungi of Calotropis procera for novel bioactive compounds: molecular docking and bioactivity insights.

BACKGROUND: The rising danger of antibiotic resistance and the increasing burden of cancer worldwide have highlighted the necessity for a constant sup...

Bioactivity and chemical screening of endophytic fungi associated with seaweeds Gracilaria sp. and Sargassum sp. of the Bay of Bengal, Bangladesh.

This study explored the great potential of endophytic fungi associated with red seaweed Gracilaria sp. and brown seaweed Sargassum sp. of the Bay of B...

Functions and Mechanisms of Secreted Proteinaceous Effectors of Broad-Host-Range Necrotrophic Fungal Pathogens.

This review focuses on the intricate interaction mechanisms between necrotrophic fungal pathogens and their host plants, emphasizing the pivotal role ...

Neural networks for the prediction of bacterial and fungal infections: current evidence and implications.

In the present narrative review, we discuss the use of artificial neural networks (ANNs) for predicting bacterial and fungal infections based on commo...

Identification of potential riboswitch elements in Homo sapiens mRNA 5'UTR sequences using positive-unlabeled machine learning.

Riboswitches are a class of noncoding RNA structures that interact with target ligands to cause a conformational change that can then execute some reg...

Deep learning based ensemble model for accurate tomato leaf disease classification by leveraging ResNet50 and MobileNetV2 architectures.

Global food security depends on tomato growing, but several fungal, bacterial, and viral illnesses seriously reduce productivity and quality, therefor...

Consecutive low-frequency shifts in A/T content denote nucleosome positions across microeukaryotes.

Nucleosomes are the basic repeating unit, each spanning ≈150bp, that structures DNA in the nucleus and their positions have major consequences on gene...

MALDI-TOF mass spectrometry combined with machine learning algorithms to identify protein profiles related to malaria infection in human sera from Côte d'Ivoire.

BACKGROUND: In sub-Saharan Africa, Plasmodium falciparum is the most prevalent species of malaria parasites. In endemic areas, malaria is mainly diagn...

Prediction of barberry witches' broom rust disease using artificial intelligence models: a case study in South Khorasan, Iran.

The South Khorasan Province in Iran is the main producer of seedless barberry, accounting for 98% of the country's production. This has led to signifi...

Development of machine learning models to predict the risk of fungal infection following flexible ureteroscopy lithotripsy.

BACKGROUND: The flexible ureteroscopy lithotripsy (F-URL) is an important treatment for upper urinary tract stones. However, urolithiasis, surgical pr...

Biofilm-mediated infections; novel therapeutic approaches and harnessing artificial intelligence for early detection and treatment of biofilm-associated infections.

A biofilm is a group of bacteria that have self-produced a matrix and are grouped together in a dense population. By resisting the host's immune syste...

Deep learning by Vision Transformer to classify bacterial and fungal keratitis using different types of anterior segment images.

PURPOSE: To develop three novel Vision Transformer (ViT) frameworks for the specific diagnosis of bacterial and fungal keratitis using different types...

Revealing gut microbiota biomarkers associated with melanoma immunotherapy response and key bacteria-fungi interaction relationships: evidence from metagenomics, machine learning, and SHAP methodology.

INTRODUCTION: The gut microbiota is associated with the response to immunotherapy in cutaneous melanoma (CM). However, gut fungal biomarkers and bacte...