Version 1
: Received: 23 October 2023 / Approved: 23 October 2023 / Online: 24 October 2023 (04:09:01 CEST)
How to cite:
Mustafa, M.; Mohammed, A.; Alzebair, A.; Makhawi, A. Integrating Bioinformatics in Drug Discovery. Preprints2023, 2023101465. https://doi.org/10.20944/preprints202310.1465.v1
Mustafa, M.; Mohammed, A.; Alzebair, A.; Makhawi, A. Integrating Bioinformatics in Drug Discovery. Preprints 2023, 2023101465. https://doi.org/10.20944/preprints202310.1465.v1
Mustafa, M.; Mohammed, A.; Alzebair, A.; Makhawi, A. Integrating Bioinformatics in Drug Discovery. Preprints2023, 2023101465. https://doi.org/10.20944/preprints202310.1465.v1
APA Style
Mustafa, M., Mohammed, A., Alzebair, A., & Makhawi, A. (2023). Integrating Bioinformatics in Drug Discovery. Preprints. https://doi.org/10.20944/preprints202310.1465.v1
Chicago/Turabian Style
Mustafa, M., Awad Alzebair and Abdelrafie Makhawi. 2023 "Integrating Bioinformatics in Drug Discovery" Preprints. https://doi.org/10.20944/preprints202310.1465.v1
Abstract
The integration of bioinformatics in drug discovery has revolutionized the field of pharmaceutical research. The use of computational tools and techniques has enabled researchers to analyze vast amounts of data, identify potential drug targets, and design new drugs with greater precision and efficiency. The integration of bioinformatics has also facilitated the development of personalized medicine, where drugs can be tailored to individual patients based on their genetic makeup. However, there are still challenges that need to be addressed, such as the need for more accurate predictive models and the ethical considerations surrounding the use of patient data. Overall, the integration of bioinformatics in drug discovery holds great promise for improving human health and advancing our understanding of disease mechanisms. In this mini-review, we discuss how Bioinformatics plays a crucial role in each step of drug discovery by providing tools and techniques to analyze large amounts of data generated from various sources, as well as the challenges and the opportunities offered by bioinformatics.
Keywords
drug discovery; target identification; target validation; lead identification; bioinformatics
Subject
Biology and Life Sciences, Biology and Biotechnology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
