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Systems Pharmacology: Identifying Drug Combination Interactions | OMICS International| Abstract

Journal of Cellular and Molecular Pharmacology
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  • Research Article   
  • J Cell Mol Pharmacol 2023, Vol 7(2): 147
  • DOI: 10.4172/jcmp.1000147

Systems Pharmacology: Identifying Drug Combination Interactions

Youyou Tu and Alan Turing*
Department of Pharmacy and Biotechnology, Italy
*Corresponding Author : Alan Turing, Department of Pharmacy and Biotechnology, Italy, Email: alanturing23@gmail.com

Received Date: Mar 25, 2023 / Published Date: Apr 24, 2023

Abstract

The majority of ailments are related with adjustments in more than one molecular pathways and complicated interactions at the cell and organ levels. Single-target monotherapies consequently have intrinsic barriers with admire to their most therapeutic benefits. The manageable of aggregate drug healing procedures has acquired pastime for the therapy of many illnesses and is properly installed in some areas, such as oncology. Combination drug redress may additionally permit us to discover synergistic drug effects, decrease negative drug reactions, and tackle variability in sickness traits between patients. Identification of aggregate remedies stays challenging. We talk about modern-day today’s structures pharmacology tactics to allow rational identification of mixture therapies. These approaches, which consist of characterization of mechanisms of sickness and drug motion at a structures level, can allow grasp of drug interactions at the molecular, cellular, physiological, and organismal levels. Such multiscale appreciation can allow precision remedy by using merchandising the rational improvement of mixture remedy at the stage of person sufferers for many diseases.

Keywords: QSP; Combination therapy; Modeling; Pharmacodynamics; Quantitative systems pharmacology

Citation: Tu Y, Turing A (2023) Systems Pharmacology: Identifying Drug Combination Interactions. J Cell Mol Pharmacol 7: 147. Doi: 10.4172/jcmp.1000147

Copyright: © 2023 Tu Y. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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