Your Weekly Dose of Mycology Research
Your Weekly Dose of Mycology Research
Protein-protein interactions (PPIs) are crucial in cellular functions. This study introduces MFPIC, a computational model enhancing PPI prediction by incorporating novel features like spaced conjoint triad and amino acid pairwise distance. Tested on yeast, bacteria, and human datasets, MFPIC surpassed existing methods, achieving up to 99.33% accuracy, pointing to advances in understanding PPI mechanisms.
Mucormycosis, a severe fungal infection by Mucorales fungi, faces rising incidence and treatment challenges due to drug resistance. This study utilized virtual screening of over 50,000 azoles for anti-mucormycotic potential, identifying Thuggacin B and a ritonavir analogue as promising candidates. Both compounds displayed high binding affinity and favorable pharmacokinetics, meriting further in vitro research.
This study leverages natural language processing to examine social media discourse on nutritional yeast, a Saccharomyces cerevisiae derivative rich in B vitamins. Analyzing 36,642 posts, researchers found U.S. discussions focus on its role in vegan diets, while French users emphasize its use in supplement regimens for hair and nails. These insights could guide future research into dietary impacts and marketing strategies.
In the realm of in silico metabolic engineering, regulatory-metabolic network models integrate gene regulatory networks (GRNs) and metabolic pathways. The novel RBI algorithm enhances these models using reliability theory to incorporate Boolean rules and gene-protein-reaction interactions, achieving optimal mutant strains in Escherichia coli and Saccharomyces cerevisiae for improved succinate and ethanol production.