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Computational Biology on the Rise as Conventional Drug Development Shows Cracks

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Published on : Oct 10, 2016

Computational biology involves the application and development of theoretical, analytical, and data intensive methods surrounding mathematical modeling and computed simulation in the field of biology. This branch allows scientists to study a wide array of subjects from chemistry, anatomy, genomics, to applied mathematics, neuroscience, and visualization. Often terms as bioinformatics, computational biology relies of strong algorithms and related data within the biological world to give researchers access to analyzing large volumes of data in shorter periods of time.

One of the most notable facts about computational biology is its current scope of demand in biotechnology and pharmaceuticals. Both industries are in dire straits regarding budget allocations and a large chunk of their revenue is fed into drug development and drug innovations. The problem arises when using conventional drug development techniques. So far these have been extremely complicated methods that do not really guarantee a satisfactory result. There have been plenty of cases where traditional drug development measures have resulted in a new drug being of a lesser efficacy, or the development process failing as a whole due to several reasons. The problem with this is that pharmaceuticals and biotechnology firms invest so much into these studies that failure to show a decent result often ends up in massive losses for the companies.

The burgeoning field of computational biology is here to solve that incredibly costly problem with a simpler answer. Through the use of simulation and modeling solutions, pharma players can device a faster and cheaper rate of development for pharmacodynamics and pharmacokinetics. This also helps solve the increasingly glaring problem of lack of innovation in the pharma industry, despite heavy investments.

Another great advantage that computational biology provides is the reduction of requiring humans in drug development trial phases. This is especially useful when the drugs are aimed at trials on children and pregnant women. Thus, the drug discovery market is rapidly being revolutionized by computational biology. This has caused a large number of players to shit focus towards computational biology and end up providing their own form of services in the field.