| Literature DB >> 29353945 |
Rohit T Rao1, Megerle L Scherholz1, Clara Hartmanshenn1, Seul-A Bae1, Ioannis P Androulakis1,2.
Abstract
The use of models in biology has become particularly relevant as it enables investigators to develop a mechanistic framework for understanding the operating principles of living systems as well as in quantitatively predicting their response to both pathological perturbations and pharmacological interventions. This application has resulted in a synergistic convergence of systems biology and pharmacokinetic-pharmacodynamic modeling techniques that has led to the emergence of quantitative systems pharmacology (QSP). In this review, we discuss how the foundational principles of chemical process systems engineering inform the progressive development of more physiologically-based systems biology models.Entities:
Keywords: Pharmacokinetics; multi-scale systems biology; pharmacodynamics; quantitative systems pharmacology
Year: 2017 PMID: 29353945 PMCID: PMC5773066 DOI: 10.1016/j.compchemeng.2017.06.003
Source DB: PubMed Journal: Comput Chem Eng ISSN: 0098-1354 Impact factor: 3.845