Projeto e descoberta de fármacos com ferramentas de bioinformática

Le résumé fourni par la source

Context: Bioinformatics is a combination of different fields including computer science, biology, information technology and statistics which is used to analyze and interpret the biological data. It is used to design and discover novel drugs through biological data analysis and potential target identification. With increasing drug resistance among bacterial species, there is a need to develop new drugs. Aims: However, the drug discovery procedure is laborious, expensive and time-consuming. The new drug identification consists of various steps including target identification, target protein structure analysis, potential drug candidate identification, detecting the safety and efficacy of drug, optimizing them and finally validating the drug. Bioinformatics has a vital role in all these steps. Bioinformatics has emerged as a powerful tool in the field of drug design and discovery, enabling the rapid identification of potential drug targets, optimization of lead compounds, and prediction of drug interactions. For instance, analysis of protein sequences and genetic data enables target identification. Methods: Once the target protein is recognized, its structure can be investigated using bioinformatics tools. Identification of potential ligand binding sites allows for screening of compound databases to find drug candidates. A review of the relevant literature highlights that the identification of potential ligand binding sites allows for screening of compound databases to find drug candidates. Simulations of target protein and biomolecule interactions aid in predicting drug safety and efficacy. Results: Bioinformatics is utilized for drug optimization to improve safety and efficacy. Recently pharmacophore and molecular docking process are used for screening of thousands of candidate molecules to a few promising leads. In this paper, drug design and discovery has been done with the use of bioinformatics tool in the field of network pharmacology. This paper reviews the application of bioinformatics tools within the field of network pharmacology, focusing on methodologies for drug design and discovery. It aims to clarify existing approaches and propose future directions in the context of drug development, rather than suggesting that original drug design and discovery work has been conducted by the authors.

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