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Published in:
2023 | OriginalPaper | Chapter
A Review on Proteomic Function Prediction in Pathogenic Bacterial Organism Using Machine Learning
Authors : Anushri Vijay, Neha Tiwari, Amita Sharma
Published in: Proceedings of Seventh International Congress on Information and Communication Technology
Publisher: Springer Nature Singapore
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Abstract
In the realm of health research and the medical business, machine learning plays a vital role. In today’s world, protein research is critical in the development of medicinal drugs. Proteins are responsible for the structure, function, and regulation of our biological tissues, organ functionality as well as the majority of cell work. A pathogen is an organism that can infect its host and causes disease, and virulence refers to the severity of the symptoms. Some infections are only able to live in specific hosts. Other diseases can infect a broad array of species. It is easy to identify the characteristics and behavior of known bacterial proteins but the prediction of unknown proteins is a cumbersome task. The paper discusses the objectivity of machine learning in predicting the unknown proteins along with their functions, specifically in harmful bacterial species.