Publications by authors named "S Sathish"

Sheeppox and Goatpox are highly contagious transboundary viral diseases of sheep and goats caused by Capripoxvirus, respectively. This study describes the development of indirect ELISA and its serodiagnostic potential as an alternative to the gold standard serum neutralization test (SNT). The homologue of vaccinia virus, ORF 117 (A27L) gene of the Romanian Fenner (RF) strain of Sheeppox virus (SPPV) was used for producing the full-length recombinant A27L (rA27L) protein (∼22 kDa) in a prokaryotic expression system.

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Thin-section CT (TSCT) is currently the most sensitive imaging modality for detecting bronchiectasis. However, conventional TSCT or HRCT may overlook subtle lung involvement such as alveolar and interstitial changes. Artificial Intelligence (AI)-based analysis offers the potential to identify novel information on lung parenchymal involvement that is not easily detectable with traditional imaging techniques.

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Article Synopsis
  • JAK1 is important for breast cancer progression and has shown a positive correlation with prognosis when expressed in immune cells; targeting it is being considered for therapy.
  • The study utilized in silico methods to screen for selective JAK1 inhibitors from a database, employing techniques like molecular docking and toxicity prediction to identify promising compounds.
  • Three compounds identified (F2638-0133, F3408-0020, and F5833-7435) showed better binding interactions and stability compared to the standard drug abrocitinib, suggesting they are strong candidates for further testing.
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A novel classification system, termed the Sivan classification, was developed to enhance the diagnosis of jaw lesions by utilizing visual volumetric analysis of three-dimensional Cone Beam Computed Tomography (CBCT) images. This classification groups lesions into ten categories, primarily divided into hypovolumetric, hypervolumetric, and normovolumetric groups. To validate this system, 10 raters-comprising 5 general dentists and 5 oral radiology specialists-assessed the CBCT images and diagnosed the lesions using the Sivan classification.

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The study aims to elucidate the pharmacological mechanism of Rauvolfia tetraphylla against breast cancer through a comprehensive, multi-faceted approach. This includes molecular docking, molecular dynamics, and experimental validation. Initial screening via ADME analysis and network pharmacology identified key compounds and potential targets.

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