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Drosophila proteins as human surrogates for early drug discovery: Findings from detailed structural analysis

Shankar et al. | Oct 11, 2026

<i>Drosophila</i> proteins as human surrogates for early drug discovery: Findings from detailed structural analysis

This study examines the possibility of utilizing proteins from Drosophila melanogaster in early drug discovery. Structural and sequence analysis of five diverse Drosophila proteins and its human homologs were conducted. Drosophila proteins with high conservation of amino acids at functionally significant positions are better candidates for use as human surrogate in drug discovery efforts.

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Using machine learning to detect outliers of red clump stars

Meng et al. | Oct 10, 2026

Using machine learning to detect outliers of red clump stars

Machine learning offers a powerful way to analyze large astronomical datasets and identify stars with unusual properties. In this study, students used Extreme Gradient Boosting and Isolation Forest models to investigate why some red clump stars deviate from their expected luminosities. Their results show that stellar age plays a much stronger role than metallicity in driving luminosity variation, and the models successfully detected outlier stars that may affect distance measurements in galactic studies.

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Mitigation of ultraviolet solar radiation involving calcite

Nare et al. | Oct 10, 2026

Mitigation of ultraviolet solar radiation involving calcite

This study tested whether calcite, a safe and naturally occurring mineral, can block ultraviolet (UV) radiation when used in solar geoengineering. Students launched a high‑altitude balloon carrying UV sensors and calcite‑coated sheets to measure how much UV light passed through different calcite concentrations. Their results showed that calcite significantly reduces UV transmission, suggesting it may be a promising material for future stratospheric aerosol injection to help mitigate climate change.

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Leaky expression of PRMT1 in Escherichia coli and redox regulation of its histone methyltransferase activity

Kim et al. | Oct 07, 2026

Leaky expression of PRMT1 in <i>Escherichia coli</i> and redox regulation of its histone methyltransferase activity

This study characterizes recombinant human Protein arginine methyltransferase 1 (PRMT1) expressed in Escherichia. coli and reveals that the enzyme exhibits leaky expression even without isopropyl β-D-1-thiogalactopyranoside (IPTG) induction. Through in vitro histone methyltransferase assays, we demonstrate that PRMT1 activity toward histone H4R3 is enhanced by dithiothreitol (DTT) in a dose-dependent manner but remains unresponsive to β-mercaptoethanol. These findings highlight the critical role of redox conditions in regulating PRMT1 catalytic function and provide a practical framework for future biochemical and kinetic studies.

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Optimizing website performance: A comprehensive Google Lighthouse study on desktop and mobile modes

S. Al-Majidi et al. | Oct 02, 2026

Optimizing website performance: A comprehensive Google Lighthouse study on desktop and mobile modes

In this study, we examined the consistency and dependability of Google's Lighthouse tool for measuring website performance, accessibility, SEO, and best practices. Tests conducted on three websites showed that performance scores vary based on the testing mode and website complexity, while other audit categories stay constant. These results provide direction for researchers and developers by highlighting Lighthouse's benefits and drawbacks.

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Multi-omic analysis identifies mitochondrial dysfunction as a key feature of hypertrophic cardiomyopathy

Velu et al. | Sep 26, 2026

Multi-omic analysis identifies mitochondrial dysfunction as a key feature of hypertrophic cardiomyopathy

This study used multi-omic analysis to investigate gene expression and DNA methylation patterns associated with hypertrophic cardiomyopathy (HCM). The researchers found significant downregulation of mitochondrial and energy-related pathways, highlighting mitochondrial dysfunction—particularly altered PINK1 expression—as a potential contributor and therapeutic target in HCM.

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