Creative Biolabs has established a world-leading platform to support the target identification and validation of various diseases. With years of experience in functional analysis, scientists from Creative Biolabs can offer tailored metabolic pathway analysis services of target gene analysis and validation.
The computational approach is applied to study novel drug targets in pathogenic organisms, such as Helicobacter pylori and Pseudomonas aeruginosa. As widely known, antibacterial are crucial inhibitors of some bacterial enzymes, all enzymes particular to bacteria are able to be regarded as potential drug targets. Metabolic pathways are a train of enzymatic reactions which transform a premier substrate to the ultimate end-products and linked by their intermediates. Metabolic pathway analysis is discovering and analyzing significant routes in metabolic networks, and it's becoming increasingly essential for evaluating inherent network properties in biochemical reaction networks.
Figure 1. Lipid metabolic pathway analysis of identified differential lipid species. (Miao et al. 2016)
There are two primary notions for metabolic pathway analysis: one relies upon elementary flux modes, and the other relies upon extreme pathways. The two notions are compactly associated. On account of the extreme pathways are subsets of elementary modes. Evaluating metabolic systems through a series of extreme pathways enables to produce misleading results due to the exclusion of possibly important routes. It's required and perfectible to unite the two methods into one usual framework for metabolic pathway analysis.
Elementary Flux Modes
Elementary flux modes (EFMs) have three fundamental conditions: a spurious steady-state condition, a non-decomposability (genetic independence) condition, and a possibility condition. The feasibility of evaluating functional and structural performances in metabolic networks by EFMs is related to biotechnology and physiology. EFMs can apply to identify operational modes, containing cycles or all pathways mainly from a certain metabolite to a product. In addition, elementary mode analysis enables the recognition of enzyme subsets, in other words, reactions in a network usually oblige to operate together.
Extreme Pathways
It has usually been accepted as an advantage that the set of extreme pathways (EPs) is a subset of EFMs. Calculating EFMs is computationally extremely demanding, on account of the combinatorial complexity. Nevertheless, considering the EPs instead of EFMs mostly debase both the number of pathways and the applicability for evaluating network properties.
Creative Biolabs has focused on metabolic pathway analysis research for years, with the professional and experienced scientists hammering at drug discovery, our team is confident in providing incomparable metabolic pathway analysis services to meet every client's scientific research or clinical needs. In addition to the metabolic pathway analysis service, Creative Biolabs also provides a variety of drug discovery services. For more detailed information, please feel free to contact us or directly sent us an inquiry.
References
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