Browsing Molecular Engineering of Biological and Chemical Systems (MEBCS) by Author "Stephanopoulos, Gregory"
Now showing items 1-12 of 12
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Activation Ratios For Reconstruction Of Signal Transduction Networks
(2003-01)We have developed a novel framework that can be applied for the analysis of signal transduction networks, both to facilitate reconstruction of the network structure and quantitatively characterize the interaction between ... -
Bioinformatics and Handwriting/Speech Reconition: Uncoventional Applications of Similarity Search Tools
(2006-01)This work introduces two unconventional applications for sequence alignment algorithms outside the domain of bioinformatics: handwriting recognition and speech recognition. In each application we treated data samples, such ... -
Design, Fabrication and Functional Analysis of a New Protein Array Based on ssDNA-based Assembly
(2006-01)In the post genomic era, proteomics has enormous potential in biology and medicine. Among the various bioanalytical tools developed, protein microarray is one of the recent advancements which offer high throughput profiling ... -
Differential effects of insulin signaling on individual carbon fluxes for fatty acid synthesis in brown adipocytes
(2005-01)Considering the major role of insulin signaling on fatty acid synthesis via stimulation of lipogenic enzymes, differential effects of insulin signaling on individual carbon fluxes for fatty acid synthesis have been ... -
A Functional Protein Chip for Combinatorial Pathway Optimization and In Vitro Metabolic Engineering
(2004-01)Pathway optimization is, in general, a very demanding task due to the complex, nonlinear and largely unknown interactions of enzymes, regulators and metabolites. While in vitro reconstruction and pathway analysis is a ... -
Inverse Metabolic Engineering of Synechocystis PCC 6803 for Improved Growth Rate and Poly-3-hydroxybutyrate Production
(2005-01)Synechocystis PCC 6803 is a photosynthetic bacterium that has the potential to make bioproducts from carbon dioxide and light. Biochemical production from photosynthetic organisms is attractive because it replaces the ... -
Machine Learning Approaches to Modeling the Physiochemical Properties of Small Peptides
(2006-01)Peptide and protein sequences are most commonly represented as a strings: a series of letters selected from the twenty character alphabet of abbreviations for the naturally occurring amino acids. Here, we experiment with ... -
Profiling of ligand-receptor induced signalling- a novel protein chip technique
(2004-01)Cellular signalling pathways are the master controls of the biology of the cell, which includes cell communication, growth, death, and differentiation. The activities of these signalling proteins directly influence gene ... -
Protein Microarray: "Theory" to "Real Practice"
(2005-01)Fueled by ever-growing genomic information and rapid developments of proteomics–the large scale analysis of proteins and mapping its functional role has become one of the most important disciplines for characterizing complex ... -
Quantitative linkage of physiology and gene expression through empirical model construction: an investigation of diabetes
(2003-01)A methodology for the construction of predictive empirical models of physiological characteristics from microarray data is presented. The method, applied here to the study of the development of diabetes and insulin resistance, ... -
SCAPA (Spacially Addressable Protein Array) – a Novel Protein Array for the Differential Profiling of Ligand-receptor Induced Signalling
(2005-01)While protein microarray technology has been successful in demonstrating its usefulness for large scale high-throughput proteome profiling, performance of antibody/antigen microarrays has been only moderately productive. ... -
Signaling Biochip – Profiling ligand-receptor induced signalling
(2004-01)Intracellular communication controls most cellular functions, which includes cell growth, death, and differentiation. The current challenge in cell biology is to decipher the spatial-temporal interactions of these highly ...
