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As per available reports about 13 relevant Journals, 15 Conferences, 897 Conferences Proceedings , 20 Media Partners are presently dedicated exclusively to Structural Bioinformatics and about 513 Open Access articles are being published on Structural Bioinformatics.
Structural bioinformatics is the branch of bioinformatics which is related to the analysis and prediction of the three-dimensional structure of biological macromolecules such as proteins, RNA, and DNA. It deals with generalizations about macromolecular 3D structure such as comparisons of overall folds and local motifs, principles of molecular folding, evolution, and binding interactions, and structure/function relationships, working both from experimentally solved structures and from computational models. The term structural has the same meaning as in structural biology, and structural bioinformatics can be seen as a part of computational structural biology. Topics like: Micro Economics, Environmental Studies, Human mind & its Complexity.
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Scope & Importance:
Protein structure prediction is an important application of structural bioinformatics. The amino acid sequence of a protein, the so-called primary structure, can be easily determined from the sequence on the gene that codes for it. In the vast majority of cases, this primary structure uniquely determines a structure in its native environment. (Of course, there are exceptions, such as the bovine spongiform encephalopathy – a.k.a. Mad Cow Disease – prion.) Knowledge of this structure is vital in understanding the function of the protein. Structural information is usually classified as one of secondary, tertiary and quaternary structure. A viable general solution to such predictions remains an open problem. Most efforts have so far been directed towards heuristics that work most of the time. One of the key ideas in bioinformatics is the notion of homology. In the genomic branch of bioinformatics, homology is used to predict the function of a gene: if the sequence of gene A, whose function is known, is homologous to the sequence of gene B, whose function is unknown, one could infer that B may share A's function.
Market Analysis:
The global proteomics market is driven by the increase in the number of diseases and the population suffering from these diseases. The value of the proteomics market was $9.3 billion in 2012, and is expected to reach $21.63 billion by 2018, at a CAGR of 15.1%.
The report analyses the market in terms of product type such as proteomics instrumentation technologies, proteomics reagents, and proteomics services. The market segments experienced a positive growth till 2012, owing to an increased awareness for sophisticated diagnostic techniques. The proteomics instrumentation technologies segment accounted for the largest share of 40% in the overall market, followed by the reagents market. The proteomics services market is expected to grow at the fastest CAGR of 15.1%, during the forecast period.
In North America, the funds for innovative proteomics technologies from various organizations, increasing agreements and collaboration among large companies, and the increasing R&D investments are the major driving factors for the proteomics market.
Europe accounts for the second-largest share in the global proteomics market. The European governments are allocating thematic priorities to nurture the growth of the market. Numerous organizations are putting in efforts to promote the growth of the proteomics market. Huge capital investments are required for proteomics research.
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This page was last updated on November 22, 2024
