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J Pestic Sci
November 2024
Faculty of Agriculture, Tottori University.
A search for antifungal compounds from the mushroom using a bioassay-guided chromatographic fractionation approach led to the discovery of a novel polyketide harboring a rare 3,3a,9,9a-tetrahydro-1-furo[3,4-]chromen-1-one skeleton. The novel compound was named coprinolide. The inhibitory activity and fungicidal potential of coprinolide were evaluated against five economically important plant-pathogenic fungi.
View Article and Find Full Text PDFHous Stud
November 2023
Department of Psychological Medicine, King's College London, Weston Education Centre, London, SE5 9RJ, UK.
People spend a substantial amount of time at home, so it is important that homes are safe, healthy environments. Damp and mould represent common housing problems but little is known about their potential psychological effects. This scoping review explores existing literature on the relationship between household damp/mould and psychological wellbeing.
View Article and Find Full Text PDFJ Pineal Res
March 2025
College of Enology, Shaanxi Provincial Key Laboratory of Viti-Viniculture, Shaanxi Engineering Research Center of Characteristic Fruit Directional Design and Machining, Northwest A&F University, Yangling, China.
Melatonin is involved in biological adverse stress response and enhances the ability of yeast to adapt to adverse conditions. This study investigated the mechanism of exogenous melatonin addition to Saccharomyces cerevisiae (S. cerevisiae) under copper stress.
View Article and Find Full Text PDFMed Mycol
January 2025
Fungal Infection Working Group, International Society of Antimicrobial Chemotherapy.
Invasive mould disease (IMD) has a high mortality in immunosuppressed patients. Invasive aspergillosis (IA) is the most common IMD. A guideline for preventing IA has been published jointly by the Centers for Diseases Control and Prevention, the Infectious Disease Society of America, and the American Society of Blood and Marrow Transplantation.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
School of Biological Sciences, University of Edinburgh, Edinburgh, EH9 3JH, United Kingdom.
The growing demand for biological products drives many efforts to maximize expression of heterologous proteins. Advances in high-throughput sequencing can produce data suitable for building sequence-to-expression models with machine learning. The most accurate models have been trained on one-hot encodings, a mechanism-agnostic representation of nucleotide sequences.
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