Zika and Dengue Biomarkers: A machine learning analysis.

This document contains three separate articles. The first article discusses the western woolly flying squirrel, a unique mammal found in the Himalayas and Tibetan Plateau. Researchers conducted a study in four villages to gather information about the squirrel, but found a lack of awareness about the species among the local communities. The researchers were unable to capture any images of the squirrel, raising concerns about its population status in the area.The second article focuses on the challenge of accurately diagnosing zika and dengue infections, which have similar clinical symptoms. Researchers from Bangalore University and the Indian Institute of Science collaborated to address this challenge using machine learning analysis. They identified gene expression biomarkers that can differentiate between infections by the two viruses, providing clues for developing therapies.The third article explores a peptidomimetic approach to target malarial insulinase, an enzyme produced by the parasite that causes malaria. Researchers from NIT Arunachal Pradesh conducted computational analysis to identify a potential drug target and designed peptides to inhibit the activity of the insulinase. This alternative approach offers a promising strategy to combat drug resistance in pathogens, but further experiments are needed to assess potency and efficacy.Overall, these articles provide valuable insights into the western woolly flying squirrel, the diagnosis of zika and dengue infections, and potential treatments for malaria. [Extracted from the article]

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