Metabolomics is based on the simultaneous analysis of multiple low-molecular-weight metabolites from a given sample. The goals of metabolomics are to catalog and quantify the myriad small molecules found in biological fluids under different conditions. The metabolomics represents the collection of all metabolites in a biological organism, and metabolic profiling can give an instantaneous 'snapshot' of the physiology of that cell. Together with the other more established omics technologies, metabolomics will strengthen its claim to contribute to the detailed understanding of the in vivo function of gene products, biochemical analysis, regulatory networks and more ambitious, the mathematical description and simulation of the whole cell in the systems biology approach. This phenomenon will allow the construction of designer organisms for process application using biotransformation and fermentative approaches making effective use of single enzymes, whole microbial and even higher cells and allows the connection of data from genomics, proteomics to enables coordinating the timing of the analysis to physiologically important windows.
microRNAs or miRNAs are an abundant class of highly conversed, small non-coding RNAs that present an entirely new theme of post-transcriptional gene regulation. miRNAs play a key role in diverse biological systems, such as virology, embryogenesis, differentiation, inflammation and cancer research. Research showed the importance of these non-coding small RNAs on immune system development and response. It plays important regulatory roles in various metabolic pathways in most eukaryotes. miRNAs are found to be involved in the regulation of immunity, including the development and differentiation of immune cells, antibody production and the inflammatory mediator release.
Proteomics technologies have produced an abundance of drug targets, which is creating a bottleneck in drug development process. There is an increasing need for better target validation for new drug development and proteomic technologies are contributing to it. Identifying a potential protein drug target within a cell is a major challenge in modern drug discovery; techniques for screening the proteome are, therefore, an important tool. Major difficulties for target identification include the separation of proteins and their detection. These technologies are compared to enable the selection of the one by matching the needs of a particular project. There are prospects for further improvement, and proteomics technologies will form an important addition to the existing genomic and chemical technologies for new target validation. Proteomics is applicable for protein analysis and bioinformatics based analysis gives the comprehensive molecular description of the actual protein component. Bioinformatics is being increasingly used to support target validation by providing functionally predictive information mined from databases and experimental datasets using a variety of computational tools. This review is focused on key technologies for proteomics strategy and their application in protein analysis.
Gene therapy or recombinant DNA vaccines targeting multiple antigenic components to direct empower the immune system. Antigenic epitopes on neurotoxin Mesobuthus martensii (Buthus martensii) are important determinant of protection against cardiovascular disorder. Small segments 4-YSSDCRVKCVAM-15, 18-SSGKCINSKC-27 of neuro-toxin protein called the antigenic epitopes is sufficient for eliciting the desired immune response. In analysis predicted antigenic epitopes neurotoxin protein is seen. Immunization cassettes should be capable of immunizing of broad immunity against both humoral and cellular epitope thus giving vaccines the maximum ability to deal with neurotoxin protein of M. martensii. We have predicted a successful immunization.
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