The term "proteome" was first introduced into the scientific literature in July 1995. Almost 20 years ago attempts to characterize the "total protein complement able to be encoded by a given genome" only became possible due to privileged access to what were then the world's most complete sets of genomic data. Today, proteomics has become an important pillar in the fields of disease diagnosis and drug research and development, while also playing a critical role in the much larger field of Healthcare Analytics and Biomarker Discovery and Detection.
View Article and Find Full Text PDFThe detailed kinetic model of Prostaglandin H Synthase-1 (PGHS-1) was applied to in silico screening of dose-dependencies for the different types of nonsteroidal anti-inflammatory drugs (NSAIDs), such as: reversible/irreversible, nonselective/selective to PGHS-1/PGHS-2 and time dependent/independent inhibitors (aspirin, ibuprofen, celecoxib, etc.) The computational screening has shown a significant variability in the IC50s of the same drug, depending on different in vitro and in vivo experimental conditions. To study this high heterogeneity in the inhibitory effects of NSAIDs, we have developed an in silico approach to evaluate NSAID action on targets under different PGHS-1 microenvironmental conditions, such as arachidonic acid, reducing cofactor, and peroxide concentrations.
View Article and Find Full Text PDFThe detailed kinetic model of Prostaglandin H Synthase-1 (COX-1) was developed to in silico test and predict inhibition effects of nonsteroidal anti-inflammatory drugs (NSAIDs) on target. The model takes into account key features of the complex catalytic mechanism of cyclooxygenase-1, converting arachidonic acid to prostaglandin PGH(2), and includes the description of the enzyme interaction with various types of NSAIDs (reversible/irreversible, non-selective and selective to COX-1/COX-2). Two different versions of the model were designed to simulate the inhibition of COX-1 by NSAIDs in two most popular experimental settings - in vitro studies with purified enzyme, and the experiments with platelets.
View Article and Find Full Text PDFGroup A streptococcus (GAS), also know as Streptococcus pyogenes, is a human pathogen and can cause several fatal invasive diseases such as necrotising fasciitis, the so-called flesh-eating disease, and toxic shock syndrome. The destruction of connective tissue and the hyaluronic acid (HA) therein, is a key element of GAS pathogenesis. We therefore propagated GAS in HA-enriched growth media in an attempt to create a simple biological system that could reflect some elements of GAS pathogenesis.
View Article and Find Full Text PDFMol Cell Proteomics
September 2006
The ability to efficiently produce hundreds of proteins in parallel is the most basic requirement of many aspects of proteomics. Overcoming the technical and financial barriers associated with high throughput protein production is essential for the development of an experimental platform to query and browse the protein content of a cell (e.g.
View Article and Find Full Text PDFResearch activities centered on the ensemble of and individual human proteins have taken on numerous guises, some of which fall under the banner of what could be defined as a Human Proteome Project (HPP). However, the latter has yet to take-on the apparent global focus of its predecessor, the Human Genome Project. The reasons for this are both financial and technical.
View Article and Find Full Text PDFA mouse model for nonatopic asthma was employed to study the alterations of the lung proteome to gain insight into the underlying molecular mechanisms of disease pathophysiology post-challenge. Lung samples from asthmatic and control mice were used to generate 24 high quality two-dimensional electrophoresis gels wherein 2115 proteins were examined for disease relevance. In total, 23 proteins were significantly up- or down-regulated following hapten-challenge of dinitro-fluorobenzene-hypersensitive mice.
View Article and Find Full Text PDFA set of 1438 human exons was subjected to nested PCR. The initial success rate using a standard PCR protocol required for ligation-independent cloning was 83.4%.
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