International Journal of Bioinformatics and Computational Biology
Volume 2, Issue 2 (2024)
Table of contents
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Exploring the Role of Ginkgo biloba in Investigating 7L1X in Triple-Negative Breast Cancer Through Integrative Bioinformatics
Abstract: Objectives: Triple-negative breast cancer is a very dangerous form of cancer that affects mostly Hispanic and African American women above the age of 40. It represents approximately 15–20% of the global cancer incidence. This experiment aims to investigate the use of Gingko biloba in the treatment of the disease triple-negative breast cancer. Methods: We use a variety of online tools, and websites, including the Indian Medicinal Plants, Phytochemistry, and Therapeutics …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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Exhaustive Search Meets DNA Sequencing: A Comprehensive Review of TSP-Based Approaches
Abstract: Exhaustive search is a highly computational complex algorithm that checks every possibility to obtain the best solution. We illustrate an exhaustive search by applying it to three important problems: the traveling salesman problem, the knapsack problem, and the assignment problem. In this paper, we took a traveling salesman problem to explain DNA Sequencing. Since traveling salesman problem is an algorithmic problem that finds the shortest route between a set of …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 11–21 Read article
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Use of AI Tools to Create New Drugs
Abstract: The emergence of artificial intelligence in pharmaceutical research [in drug discovery] is a revolution in pharmaceutical research, often combining computational methods with traditional research methods to solve problems. This review article describes various applications of artificial intelligence at various stages of drug development and highlights significant advances and approaches. He explores the critical role of intelligence in drug design, polypharmacology, drug synthesis, drug repurposing, and prediction of drug properties, such …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 22–49 Read article
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In-Silico Studies of Phytochemicals from Allium sativum with H5N1 Protein in Avian Influenza
Abstract: Allium sativum or garlic is a medicinal plant that is reported for its applications in many biological activities, such as its antiviral, antidiabetic, and anti-inflammatory properties, etc. In this paper, the focus has been the identification of potential phytochemicals that can be extracted from Allium sativum that can act as a candidate for drug formation that possesses the capability to inhibit the H5N1 Avian Influenza, a type of highly pathogenic …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 50–60 Read article
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Multi-Target Molecular Docking of Anantmul (Hemidesmus indicus) Compounds for Tay-Sachs Disease Treatment
Abstract: This research aimed to study the effects of the plant Anantmul (Hemidesmus indicus) in the treatment of Tay-Sachs disease using molecular docking studies. Tay-Sachs disease is a neurodegenerative autosomal recessive disorder caused due to accumulation of the molecule GM2 ganglioside which is caused due to lack of enzyme Beta Hexosaminidase which breaks down GM2 Ganglioside. Anantmul (Hemidesmus indicus) is a an ayurvedic plant used in the Indian subcontinent that has …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 61–69 Read article