International Journal of Science , Engineering and Management (IJSEM)

Monthly Journal for Science , Engineering and Management

Volume2,April 2017,

Topic : Pharmaco-Informatics: Harnessing The Power Of Bioinformatics In Cancer Research & Management: A Review

Authors:Preenon Bagchi || Tara Devi Chetry, Anuradha M

Abstract:One of the greatest challenges faced by the cancer researchers is that the disease varies so much from individual to individual. Even the same type of cancer – blood, brain, kidney, pancreas, and so on – can be different subtly. This concludes that a therapy working excellent in one patient may have absolutely no effect in another. Cancer Research worldwide has set up several centers and started collecting 9,000 tumor cells’ samples from a wide range of cancer patients and created a DNA database of cancerous cells. Researchers extract DNA from these tumors and scan them for a series of key genes involved in tumor development and compares & cross-checked against a range of cancer treatments, cancerous genes, to create a map of which treatments in particular works best for cancers associated with which particular genes. This is based on the concept of pharmacogenomics & pharmacoinformatics: certain genes predispose individual to respond to certain molecules in certain ways. Doctors can already test a cancer patient for a single known gene, knowing how tumors with that gene respond to a particular molecule. However currently they don’t have a way of testing with a broad panel or set of genes. And to compensate the problem, they don’t have a way of quicker and more accurate way of sharing information in-between research labs in the same city, across the country or internationally. With the proposed cancer DNA database, a doctor might analyze a patient’s cancerous tumor sample and prescribe a detailed tailored treatment plan within a very short period of time. Bioinformatics research is increasing steadily at an exponential rate. DNA sequences are available to researchers with just an Internet connection – along with free bioinformatics tools to explore any sequence data, predict the presence of genes/mutated genes, and compare features shared between various organisms..

Keywords: Cancer, bioinformatics, metabolomics, epigenomics, genome, bio-software

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DOI: 01.1617/vol4/iss4/pid87561

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Dr.Muhammad Ishtiaq,
Mirpur University of
Science & Technology,
Mirpur, Azad Kasmir.

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ISSN(Online): 2456-1304

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJSEM
Electronic ISSN : 2456-1304
Impact Factor : 2.7
Frequency : Monthly
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