Hilbers, Peter A. J.

Programmable chemical reaction networks: emulating regulatory functions in living cells using a bottom-up approach

van Roekel, H. W. H., Rosier, B. J. H. M., Meijer, L. H. H., Hilbers, P. A. J., Markvoort, A. J., Huck, W. T. S., & de Greef, T. F. A. (2015) · Chemical Society Reviews

Gene Regulatory Network AnalysisMicrobial Metabolic Engineering and Bioproduction

Cited by 171

Parameter uncertainty in biochemical models described by ordinary differential equations

Vanlier, J., Tiemann, C. A., Hilbers, P. A. J., & van Riel, N. A. W. (2013) · Mathematical Biosciences

Gene Regulatory Network AnalysisProbabilistic and Robust Engineering Design

Cited by 116

A bayesian approach to targeted experiment design

Vanlier, J., Tiemann, C. A., Hilbers, P. A. J., & van Riel, N. A. W. (2012) · Bioinformatics

Optimal Experimental Design MethodsGene Regulatory Network Analysis

Cited by 98

An integrated strategy for prediction uncertainty analysis

Vanlier, J., Tiemann, C. A., Hilbers, P. A. J., & van Riel, N. A. W. (2012) · Bioinformatics

Gene Regulatory Network AnalysisControl Systems and Identification

Cited by 67

Self-reproduction of fatty acid vesicles: a combined experimental and simulation study

Markvoort, A. J., Pfleger, N., Staffhorst, R., Hilbers, P. A. J., van Santen, R. A., Killian, J. A., & de Kruijff, B. (2010) · Biophysical Journal

Origins and Evolution of LifeLipid Membrane Structure and Behavior

Cited by 56

Silencing of glycolysis in muscle: experimental observation and numerical analysis

Schmitz, J. P. J., Van Riel, N. A. W., Nicolay, K., Hilbers, P. A. J., & Jeneson, J. A. L. (2010) · Experimental Physiology

Cardiovascular and exercise physiologyMetabolism, Diabetes, and Cancer

Cited by 32

Parameter adaptations during phenotype transitions in progressive diseases

Tiemann, C. A., Vanlier, J., Hilbers, P. A., & van Riel, N. A. (2011) · BMC Systems Biology

Gene Regulatory Network AnalysisMicrobial Metabolic Engineering and Bioproduction

Cited by 22