2019
DOI: 10.1007/164_2019_239
|View full text |Cite
|
Sign up to set email alerts
|

Harnessing Human Microphysiology Systems as Key Experimental Models for Quantitative Systems Pharmacology

Abstract: Two technologies that have emerged in the last decade offer a new paradigm for modern pharmacology, as well as drug discovery and development. Quantitative systems pharmacology (QSP) is a complementary approach to traditional, targetcentric pharmacology and drug discovery and is based on an iterative application of computational and systems biology methods with multiscale experimental methods, both of which include models of ADME-Tox and disease. QSP has emerged as a new approach due to the low efficiency of s… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

1
27
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 16 publications
(28 citation statements)
references
References 227 publications
(265 reference statements)
1
27
0
Order By: Relevance
“…A systems approach is necessary for understanding and treating CNS diseases, and the merging of pharmacology with systems biology has created the field of quantitative systems pharmacology. 4,5,105 The problems only become harder with the need to incorporate the microbiome. Fritz et al 106 review the current status of in silico models.…”
Section: Mathematical Modeling Of the Microbiome-host Interactionmentioning
confidence: 99%
See 3 more Smart Citations
“…A systems approach is necessary for understanding and treating CNS diseases, and the merging of pharmacology with systems biology has created the field of quantitative systems pharmacology. 4,5,105 The problems only become harder with the need to incorporate the microbiome. Fritz et al 106 review the current status of in silico models.…”
Section: Mathematical Modeling Of the Microbiome-host Interactionmentioning
confidence: 99%
“…As with many computational models of biological systems, the greater challenge is to obtain the data required first to parameterize and then validate the model as accurately representing clinical physiology. 4 Notably, there is the obvious difficulty in obtaining detailed, quantitative descriptions of microbiota sequestered deep within that patient's GI system that might be addressed using single or coupled organ chips. Hence, our discussion turns to assays and OoCs.…”
Section: Mathematical Modeling Of the Microbiome-host Interactionmentioning
confidence: 99%
See 2 more Smart Citations
“…1, 2 A number of recent reviews describe in detail an expanding number of MPS models of human organs being developed. [3][4][5][6][7] The goal of all of the MPS models in development or in use has been to produce biologically relevant experimental models that replicate key aspects of normal or diseased human physiology. When these experimental models closely simulate the clinical physiology, they can provide valuable information for computational modeling allowing for a better understanding of normal physiology, as well as the pathophysiology of the disease.…”
Section: Introductionmentioning
confidence: 99%