Bridging systems biology and pharmacokinetics-pharmacodynamics has resulted in models that are highly complex and complicated. They usually contain large numbers of states and parameters and describe multiple input-output relationships. Based on any given data set relating to a specific input-output process, it is possible that some states of the system are either less important or have no influence at all. In this study, we explore a simplification of a systems pharmacology model of the coagulation network for use in describing the time course of fibrinogen recovery after a brown snake bite. The technique of proper lumping is used to simplify the 62-state systems model to a 5-state model that describes the brown snake venom-fibrinogen relationship while maintaining an appropriate mechanistic relationship. The simplified 5-state model explains the observed decline and recovery in fibrinogen concentrations well. The techniques used in this study can be applied to other multiscale models.
Pharmacology, Toxicology and Pharmaceutical Science
6
16%
Biochemistry, Genetics and Molecular Biology
4
11%
Agricultural and Biological Sciences
4
11%
Mathematics
2
5%
Other
2
5%
Unknown
10
26%
Attention Score in Context
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 February 2014.
All research outputs
#22,349,506
of 27,348,485 outputs
Outputs from CPT: Pharmacometrics & Systems Pharmacology
#660
of 861 outputs
Outputs of similar age
#252,941
of 326,579 outputs
Outputs of similar age from CPT: Pharmacometrics & Systems Pharmacology
#8
of 12 outputs
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