… On the other hand, to circumvent computationally expensive parameter estimation, Vilkhovoy
and coworkers [154] developed an experimentally-validated constraint-based model of …

A major objective of synthetic glycobiology is to re-engineer existing cellular glycosylation
pathways from the top down or construct non-natural ones from the bottom up for new and …

Cell-free protein synthesis (CFPS) is a widely used research tool in systems and synthetic
biology. However, if CFPS is to become a mainstream technology for applications such as …

In this study, we developed a dynamic mathematical model of E. coli cell-free protein synthesis
(CFPS). Model parameters were estimated from a dataset consisting of glucose, organic …

Metastasis is the leading cause of breast cancer‐related deaths and is often driven by
invasion and cancer‐stem like cells (CSCs). Both the CSC phenotype and invasion are …

Cell-free protein synthesis (CFPS) is an emerging technology in systems and synthetic
biology for the in vitro production of proteins. However, if CFPS is going to move beyond the …

Background Ensemble modeling is a promising approach for obtaining robust predictions
and coarse grained population behavior in deterministic mathematical models. Ensemble …

Mathematical models of biochemical networks are the useful tools to understand and ultimately
predict how cells utilize nutrients to produce valuable products. Hybrid cybernetic models …

Transcription and translation are at the heart of metabolism and signal transduction. In this
study, we developed an effective biophysical modeling approach to simulate transcription and …

Abstract Model-based decision support could be used to tailor insulin treatment to patients
suffering from stress hyperglycemia, while avoiding hypoglycemia. This work combines a …