Genes which are responsible for the coding of target

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genes, which are responsible for the coding of target proteins, in addition to identifying new targets that offer Mini Review Volume 1 Issue 5 Received Date : August 09, 2017 Published Date: August 17, 2017
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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. 2 more potential for new drugs [5,6]. This is an area where the human genome information is expected to play a master role [7]. Drug developers are presented with an unaccustomed luxury of choice as more genes are identified and the drug discovery cycle becomes more data-intensive [8]. Bioinformatics allows the identification and analysis of more and more biological drug targets; thus expected to greatly increase the breath of potential drugs in the pipelines of pharmaceutical companies [2,3]. S. No Database Information 1 Drug bank Wishart, et al.[9] The Drug Bank database is a blended bioinformatics and chemo informatics resource that combines detailed drug (i.e., chemical, pharmacological and pharmaceutical) data with comprehensive drug target(i.e., sequence, structure, and pathway) information 2 Therapeutic target DB Zhu, et al. [10] The therapeutic target database (TTD) is a drug database designed to provide information about the known therapeutic protein and nucleic acid targets described in the literature, the targeted disease conditions, the pathway information and the corresponding drugs/ligands directed at each of these targets 3 STITCH Kuhn, et al. [11] STITCH (‘search tool for interactions of chemicals’) is a searchable database that integrates information about interactions from metabolic pathways, crystal structures, binding experiments and drug-target relationships. Text mining and chemical structure similarity is used to predict relations between chemicals. Each proposed interaction can be traced back to the original data sources 4 Super Target Hecker, et al. [12] Super Target is a database that contains a core dataset of about 7,300 drug-target relations of which 4,900interactions have been subjected to a more extensive manual annotation effort. Super Target provides tools for 2D drug screening and sequence comparison of the targets Table 1: Drug Target Database. Drug Target Validation Bioinformatics also provides strategies and algorithm to predict new drug targets and to store and manage available drug target information. After the discovery of ‘‘potential’’ drug targets, there is an inappreciable need to establish a strong association between a putative target and disease of interest [7]. The establishment of such a key association provides justification for the drug development process. This process, known as target validation, is an area where bioinformatics is playing a significant role (Figure 1). Drug target validation helps to moderate the potential for failure in the clinical testing and approval phases [2].
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