Abstract
Human proteome project was revolutionized about 40 years ago with purpose of summarizing whole proteomic data at one place. It was launched after human genome project to map and observe all proteins. The goal related proteomic study is to draft the entire human proteome in disease diagnosis by using bioinformatics tools. Pillars of human proteome project provide different databases related to proteins at transcriptional and translational level. Human proteome organization(HUPO) published biology disease HUPO whose aim is to measure protein and proteome by life and processes related to human diseases. Different human organ like plasma, liver, brain and diabetic base project are used to characterize human disease and health. Major data resources accumulated in databases like peptides Atlas, GPMDB and neXtProt for proteins. Matrices of human proteome project identify and characterize the protein products as Post translational modification (PTM), splice various isoforms from 20,300 proteins. Matrices related to different years make proteomes counterpart by magnify the research biomedical community with high output of instruments and specimen pre-analytical protocols. CALIPHO multidisciplinary group provides information about protein complexities, interactions, function and structure complexities after Uniport and Swissprot. Different bioinformatics tools are used for structural and functional annotations of protein, disease diagnosis and mutations due to protein. Extensive study of human proteome project has been proved helpful in disease treatment at translational and post- translational levels. In future, human proteome project along with bioinformatics will include protein profiling, biomarkers, Mass spectrophotometer technique and cross analysis of different proteome projects.
Highlights
A large amount of data means that many problems faced in biology are being faced in computing too
It is divided into two phases: Pilot phase aims are to arrange globally work to evaluate & construct technology platform, to produce the infra-structure for complete profiling of Human Liver Proteome Project (HLPP).[29].CHNLPP was launched in November 2004 with collaboration of 50 institutions and 70 laboratories for this purpose.[31] [32]. phases of these projects are to perform functional studies and further understanding of liver biology [33]
This study shows the high quantification of mitosis or signaling factor p-tyrosine is maintained at very low level when cell signaling is absent in the cell
Summary
A large amount of data means that many problems faced in biology are being faced in computing too. With the passage of time new databases and softwares are developing to overcome the issue [12] This is a scientific based research project aimed at, drafting the whole genome of human, and characterize the structures and functions. Human Liver Proteome Project (HLPP): The liver project was the first start of HPP for organ and tissue.[29] HLPP started in 2002 [30] It is divided into two phases: Pilot phase aims are to arrange globally work to evaluate & construct technology platform, to produce the infra-structure for complete profiling of HLPP.[29].CHNLPP was launched in November 2004 with collaboration of 50 institutions and 70 laboratories for this purpose.[31] [32]. phases of these projects are to perform functional studies and further understanding of liver biology [33].
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