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As per available reports about 7 relevant Journals and more than 15 upcoming international Conferences are presently dedicated exclusively to Computational Biotechnology and about 200 articles have been published on Computational Biotechnology.
Computational Biotechnology involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioural, and social systems. The field is broadly defined and includes foundations in computer science, applied mathematics, animation, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, genomics, ecology, evolution, anatomy, neuroscience, and visualization.
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Scope and Importance:
Computational biology is different from biological computation, which is a subfield of computer science and computer engineering using bioengineering and biology to build computers, but is similar to bioinformatics, which is an interdisciplinary science using computers to store and process biological data. Computational biomodeling is a field concerned with building computer models of biological systems. Computational biomodeling aims to develop and use visual simulations in order to assess the complexity of biological systems. This is accomplished through the use of specialized algorithms, and visualization software. These models allow for prediction of how systems will react under different environments. This is useful for determining if a system is robust. A robust biological system is one that “maintain their state and functions against external and internal perturbations”, which is essential for a biological system to survive. Computational biomodeling generates a large archive of such data, allowing for analysis from multiple users. While current techniques focus on small biological systems, researchers are working on approaches that will allow for larger networks to be analyzed and modeled. A majority of researchers believe that this will be essential in developing modern medical approaches to creating new drugs and gene therapy.
Owing to a broad use of pharmaceutical and biotechnology companies to minimize the growing incidences of drug failures and R&D expenditures, the computational biology market is expected to exhibit a notable growth over the forecast period. The market for computational biology is in high demand also because of its ability to reduce extensive use of humans in pediatric trials, trials on orphans with diseases or tests on pregnant women. Such challenges are considered to be superseded through the use of simulation and modeling techniques. Worldwide, scientists are constantly striving to understand the alternatives to interpret the biological interactions of drug on the body, and vice-verse. This research is also termed as pharmacokinetics and pharmacodynamics respectively. Apart from this, the study of computational biology has been effective for orphan diseases as well. According to a new market report published by Transparency Market Research titled on "Computational Biology Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast, 2012 - 2018," the global computational biology market was valued at $760 million in 2011. It is further predicted to rise at a CAGR of 21.3% from 2012 to 2018 and reach an estimated value of $2,937.3 million by 2018.
Relevant Associations and Societies
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This page was last updated on April 10, 2020