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This article reviews biochemical approaches that have provided insights into several Pneumocystis metabolic pathways. These experiments are being performed despite the difficulty in doing experiments directly on this pathogen that has yet to be subcultured indefinitely and produce mass numbers of cells in vitro. Also, data from characterizing the biochemical and physiological nature of these organisms now allow elucidation of metabolic pathways as well as pose new challenges and questions that require additional experiments.

Our analysis reveals that the production of trehalose is the more ancestral biochemical process, found in single cell organisms and primitive metazoans.īiochemical research elucidating metabolic pathways in Pneumocystis*ĭirectory of Open Access Journals (Sweden)įull Text Available Advances in sequencing the Pneumocystis carinii genome have helped identify potential metabolic pathways operative in the organism. Here, we explore the evolution of glucose and trehalose synthesis using a phylogenetic analysis of enzymes specific for the two pathways. Thus, sugar-synthesizing enzymes should be present across the entire metazoan spectrum. Synthesis of sugars from simple carbon sources is critical for survival of animals under limited nutrient availability. Gluconeogenesis: An ancient biochemical pathway with a new twist We demonstrate that our new methodology reconstructs the chemical reaction steps and connectivity of the glycolytic pathway of Lactococcus lactis from time course experimental data. Using these basis functions, there are two approaches to model construction, namely the general to specific and the specific to general approach. The method involves the generation of a complete dictionary of polynomial basis functions based on the law of mass action.

We present a new method to infer biochemical pathway mechanisms from time course data using a global nonlinear modeling technique to identify the elementary reaction steps which constitute the pathway. However, this information can be difficult to extract using conventional analysis techniques. Time series data on biochemical reactions reveal transient behavior, away from chemical equilibrium, and contain information on the dynamic interactions among reacting components.

Srividhya, Jeyaraman Crampin, Edmund J McSharry, Patrick E Schnell, Santiago Reconstructing biochemical pathways from time course data.

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