Research and Reviews : Journal of Computational Biology
Volume 12, Issue 2 (2023)
Published
Table of contents
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A molecular docking study and in silico analysis: targeting the marburg virus protein vp35 using active phytocompounds from alchemilla vulgaris
Abstract: Objective: The Marburg Virus Disease (MVD) is an infectious viral disease originating from African Fruit Bats (Rousettus aegyptiacus) that has become the root cause of a fatal hemorrhaging viral fever. As per reports from the WHO, MVD has claimed the lives of millions of people worldwide, with a disease fatality rate ranging from 24% in initial outbreaks to 88% in recent times owing to a difference in viral strains and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 Read article
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Predicting diabetes status using ensemble algorithms with hyperparameter tuning
Abstract: Diabetes is a condition in which the body is unable to produce enough insulin to keep blood sugar levels under control. If diabetes is not properly identified and treated, it can lead to kidney failure, nerve damage, blindness, and coronary heart disease. A healthy lifestyle, therefore, depends on the early identification of diabetes diseases. However, it can be difficult to assess a person's diabetic status if they live in remote …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 1–9 Read article
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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article
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Revolutionizing Cancer Diagnosis: Unleashing the Tab Transformer's Power for Accurate Classification
Abstract: Gene expression platforms offer vast amounts of data that can be utilized for investigating diverse biological processes. However, the presence of redundant and irrelevant genes makes it challenging to identify crucial genes from high-dimensional biological data. To overcome this obstacle, researchers have introduced different feature selection (FS) methods. Developing more efficient and accurate feature selection techniques is essential for selecting important genes in complex biological information with multiple dimensions. In …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 24–38 Read article
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Pf Phosphatidylserine decarboxylase: Molecular modeling and inhibithors prediction
Abstract: Plasmodium falciparum (P.f) is a protozoan parasite responsible for the most severe and deadly form of malaria. The resistance of Pf to last resort antimalarial drugs has been reported, there is an urgent need to identify new therapeutic candidates for drug development. Advancements in bioinformatics technologies provide potential cost and time-effective solutions for predicting therapeutic candidates. Phosphatidylserine decarboxylase (PSD) is a member of the lyase family (more specifically, the carboxy-lyases), …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 60–78 Read article