Stability of Hybrid Systems and Related Questions from Systems Biology

2006 ◽  
pp. 39-54
Author(s):  
C. Piazza ◽  
B. Mishra
Keyword(s):  
Systems Biology ◽  
Hybrid Systems

scholarly journals A Systems Biology Approach in Therapeutic Response Study for Different Dosing Regimens—a Modeling Study of Drug Effects on Tumor Growth using Hybrid Systems

2012 ◽  
Vol 11 ◽  
pp. CIN.S8185 ◽  
Author(s):  
Xiangfang Li ◽  
Lijun Qian ◽  
Michale L. Bittner ◽  
Edward R. Dougherty
Keyword(s):  
Systems Biology ◽  
Drug Development ◽  
Tumor Growth ◽  
Hybrid Systems ◽  
Anticancer Agents ◽  
Therapeutic Response ◽  
Therapeutic Effects ◽  
Systems Model ◽  
Optimal Drug ◽  
Dosing Regimens

Motivated by the frustration of translation of research advances in the molecular and cellular biology of cancer into treatment, this study calls for cross-disciplinary efforts and proposes a methodology of incorporating drug pharmacology information into drug therapeutic response modeling using a computational systems biology approach. The objectives are two fold. The first one is to involve effective mathematical modeling in the drug development stage to incorporate preclinical and clinical data in order to decrease costs of drug development and increase pipeline productivity, since it is extremely expensive and difficult to get the optimal compromise of dosage and schedule through empirical testing. The second objective is to provide valuable suggestions to adjust individual drug dosing regimens to improve therapeutic effects considering most anticancer agents have wide inter-individual pharmacokinetic variability and a narrow therapeutic index. A dynamic hybrid systems model is proposed to study drug antitumor effect from the perspective of tumor growth dynamics, specifically the dosing and schedule of the periodic drug intake, and a drug's pharmacokinetics and pharmacodynamics information are linked together in the proposed model using a state-space approach. It is proved analytically that there exists an optimal drug dosage and interval administration point, and demonstrated through simulation study.

Combining integrated systems-biology approaches with intervention-based experimental design provides a higher-resolution path forward for microbiome research

2019 ◽  
Vol 42 ◽  
Author(s):  
J. Alfredo Blakeley-Ruiz ◽  
Carlee S. McClintock ◽  
Ralph Lydic ◽  
Helen A. Baghdoyan ◽  
James J. Choo ◽  
...  
Keyword(s):  
Systems Biology ◽  
High Resolution ◽  
Experimental Design ◽  
Integrated Systems ◽  
Microbiome Research ◽  
Constructive Criticism

Abstract The Hooks et al. review of microbiota-gut-brain (MGB) literature provides a constructive criticism of the general approaches encompassing MGB research. This commentary extends their review by: (a) highlighting capabilities of advanced systems-biology “-omics” techniques for microbiome research and (b) recommending that combining these high-resolution techniques with intervention-based experimental design may be the path forward for future MGB research.

Systems Biology

2009 ◽  
Author(s):  
Bernhard O. Palsson ◽  
Marc Abrams
Keyword(s):  
Systems Biology
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