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Clinical Pharmacology & Biopharmaceutics
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  • Editorial   
  • Clin Pharmacol Biopharm,

Bioinformatics and Systems Pharmacology: Integrating Big Data Analytics for Drug Discovery and Development

Bashiru Sambo*
Department of Biochemistry, Abubakar Tafawa Balewa University Bauchi, Nigeria
*Corresponding Author : Bashiru Sambo, Department of Biochemistry, Abubakar Tafawa Balewa University Bauchi, Nigeria, Email: bashiru1212sambo@gmail.com

Received Date: May 01, 2024 / Published Date: May 27, 2024

Abstract

This article explores the integration of bioinformatics and systems pharmacology with big data analytics for drug discovery and development. By leveraging vast amounts of biological, chemical, and clinical data, researchers can gain insights into the complex interactions between drugs and biological systems. The convergence of these disciplines enables the identification of novel therapeutic targets, prediction of drug efficacy and toxicity, and optimization of drug candidates for clinical trials. Challenges and future directions in this field are also discussed, highlighting the potential for accelerating the pace of drug discovery and development through interdisciplinary collaborations and technological advancements

Citation: Bashiru S (2024) Bioinformatics and Systems Pharmacology: IntegratingBig Data Analytics for Drug Discovery and Development. Clin Pharmacol Biopharm,13: 456.

Copyright: © 2024 Bashiru S. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.

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