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This may be because the practice of bioinformatics is

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This may be because the practice of bioinformatics is relatively new and has only attained prominence in the years following the partial completion of the Human Genome Project [24]. Till now, bioinformatics has not made any considerable impact, as projected earlier, on the cost of drugs. The pharmaceutical industry continues to witness rising costs and withdrawals of drugs from the market after they had been approved and commercialized-because of multiple documented cases of adverse drug reactions [25]. It has been observed that several pharmaceutical industries are facing drug discovery and development related challenges. These challenges range from high cost of drug discovery to the lengthy and risky trials and approval process, and some time, withdrawal of previously approved drugs from the market and the innovation gap resulting from the dogged quest for blockbuster drugs [1,12,13]. Bioinformatics was widely projected to strengthen the identification of drug targets [6]. The fact that these problems remain mostly unsolved, despite significant bioinformatics investments, is an indication of a larger problem [26,27]. Conclusion Drug designing is a very complex, expensive and time consuming process. Bioinformatics provide a huge support to overcome the cost and time context in various ways. Bioinformatics provides wide range of drug-related databases and software, which can be used for various purposes, related to drug designing and development
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Open Access Journal of Pharmaceutical Research Reddy MA. Bioinformatics-Key to Drug Discovery and Development. J Pharm Res 2017, 1(5): 000126. Copyright© Reddy MA. 4 process. Bioinformatics is still in their developmental phase and presently facing some hurdles, they show enough potential to help drug development process in near future. References 1. Iskar M, Zeller G, Zhao XM, van Noort V, Bork P (2012) Drug discovery in the age of systems biology: the rise of computational approaches for data integration. Curr Opin Biotechnol 23(4): 609-616. 2. Whittaker P (2003) What is the relevance of bioinformatics to pharmacology? Trends Pharmacol Sci 24(8): 434-439. 3. Ortega SS, Cara LC, Salvador MK (2012) In silico pharmacology for a multidisciplinary drug discovery process. Drug Metabol Drug Interact 27(4): 199-207. 4. Speck Planche A, Cordeiro MN (2012) Computer- aided drug design, synthesis and evaluation of new anti-cancer drugs. Curr Top Med Chem 12(24): 2703- 2704. 5. Chen YP, Chen F (2008) Identifying targets for drug discovery using bioinformatics. Expert Opin Ther Targets 12(4):383-389. 6. Katara P, Grover A, Kuntal H, Sharma V (2011) In silico prediction of drug targets in vibrio cholerae. Protoplasma 248(4): 799-804. 7. Yamanishi Y, Kotera M, Kanehisa M, Goto S (2010) Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework. Bioinformatics 26(12): 246-254.
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