Publications by authors named "Nazia Ejaz"

Article Synopsis
  • * Traditional protein localization predictors struggle with membrane proteins, so this study uses deep learning techniques like RNN and LSTM to categorize them into plasma, internal, and organelle membranes.
  • * The study analyzes a refined dataset of 3000 proteins and incorporates pseudo amino acid composition, achieving an accuracy of 83.4% with LSTM, outperforming RNN at 80.5%.
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Protein subcellular localization is a promising research question in Proteomics and associated fields, including Biological Sciences, Biomedical Engineering, Computational Biology, Bioinformatics, Proteomics, Artificial Intelligence, and Biophysics. However, computational techniques are preferred to explore this attribute for a massive number of proteins. The byproduct of this conjunction yields diversified location identifiers of proteins.

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Peptic ulcer (PU) has been recognized as an utmost gastrointestinal problem that affects the lining of the stomach and duodenum, specifically triggering soreness. It is a life-threatening condition, while roots of the infection are not identified yet. There are various risk factors for the cause of peptic ulcer disease, but the most significant is "Helicobacter pylori" (H.

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