Machine learning models for predicting indoor airborne fungal concentrations in public facilities utilizing environmental variables.

Airborne fungi are major contributors to substandard indoor air quality, with potential implications for public health, especially in public facilities. The risk of chronic exposure can be significantly reduced by accurately predicting airborne fungal concentrations. To manage indoor air quality, we developed machine learning (ML) models that predict airborne fungal concentrations in public facilities by utilizing environmental variables, such as facility type, floor, month, air temperature, relative humidity, coarse particulate matter (PM), and 2-day accumulated precipitation.

Metabolic engineering of Escherichia coli for enhanced production of p-coumaric acid via L-phenylalanine biosynthesis pathway.

p-Coumaric acid (p-CA), an invaluable phytochemical, has novel bioactivities, including antiproliferative, anxiolytic, and neuroprotective effects, and is the main precursor of various flavonoids, such as caffeic acid, naringenin, and resveratrol. Herein, we report the engineering of Escherichia coli for de novo production of p-CA via the PAL-C4H pathway. As the base strain, we used the E.

Therapeutic effects of CGS21680, a selective A receptor agonist, via BDNF-related pathways in R106W mutation Rett syndrome model.

Rett syndrome (RTT) is a neurological disorder caused by a mutation in the X-linked methyl-CpG binding protein 2 (MECP2), leading to cognitive and motor skill regression. Therapeutic strategies aimed at increasing brain-derived neurotrophic factor (BDNF) levels have been reported; however, BDNF treatment has limitations, including the inability to penetrate the blood-brain barrier, a short half-life, and potential for adverse effects when administered via intrathecal injection, necessitating novel therapeutic approaches. In this study, we focused on the adenosine A receptor (AR), which modulates BDNF and its downstream pathways, and investigated the therapeutic potential of CGS21680, an AR agonist, through in vitro and in vivo studies using R106W RTT model.

Rational design strategies for innovative small-molecule scaffolds inspired by three pivotal protein secondary structures.

We developed a design strategy focusing on pivotal secondary structural motifs-α-helix, β-strand, and β-turn-critical for PPI recognition, using a common core skeleton. The resulting peptide-inspired pyrimidodiazepine scaffolds were further subjected to comprehensive phenotypic screening to evaluate their efficacy. Our strategy offers a transformative approach to developing small-molecule PPI modulators with broad therapeutic potential.

Formation of Wrinkled Nanostructures via Surface-Bulk Curing Disparity in Ethyl Cyanoacrylate: Toward Superhydrophobic Surface Applications.

Superhydrophobic surfaces, known for their exceptional water-repellent properties with contact angles exceeding 150°, are highly regarded for their effectiveness in applications including self-cleaning, antifouling, and ice prevention. However, the structural fragility and weak durability of conventional coating limit their long-term use. In this research, a new approach is proposed for the fabrication of long-lasting superhydrophobic surfaces using ethyl cyanoacrylate (ECA) and a primer.