Systems pharmacology is the application of systems biology principles to the field of pharmacology. It seeks to understand how drugs affect the human body as a single complex biological system. Instead of considering the effect of a drug to be the result of one specific drug-protein interaction, systems pharmacology considers the effect of a drug to be the outcome of the network of interactions a drug may have. In 1992, an article on systems medicine and pharmacology was published in China.[1] Networks of interaction may include chemical-protein, protein–protein, genetic, signalling and physiological (at cellular, tissue, organ and whole body levels). Systems pharmacology uses bioinformatics and statistics techniques to integrate and interpret these networks.
Systems pharmacology can be applied to drug safety studies as a complement to pharmacoepidemiology.[2]
YouTube Encyclopedic
-
1/3Views:6723 090562
-
Matthias Machacek - Systems Pharmacology with Small Data
-
Simulation from PK/PD and systems pharmacology models in R with mrgsolve
-
PK-Sim/Mobi – Open Systems Pharmacology Suite
Transcription
See also
PhD programs
- PharMetrX: Pharmacometrics & Computational Disease Modelling (annual call for applications, July - Sept 15th)
References
- ^ Zeng (B.) J., On the holographic model of human body, 1st National Conference of Comparative Studies Traditional Chinese Medicine and West Medicine, Medicine and Philosophy, April, 1992 (termed "systems medicine and pharmacology").
- ^ Seth I. Berger and Ravi Iyengar (2011). "Role of systems pharmacology in understanding drug adverse events". Systems Biology and Medicine. 3 (2): 129–35. doi:10.1002/wsbm.114. PMC 3057924. PMID 20803507.
External links
- Quantitative Systems Pharmacology white paper
- Systems Pharmacology at Harvard
- What is (Quantitative) Systems Pharmacology? by John Russell
 | This pharmacology-related article is a stub. You can help Wikipedia by expanding it. |
This page was last edited on 30 July 2021, at 01:58