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IJCRR. 2017; 9(19): 26-31


Prediction of Potential Lead Molecules through Systematic Integration of Multi-omics Datasets - A Mini-Review

Ashok Kumar T.; Rajagopal B..

Abstract
Prediction of a novel or potential lead molecules for a therapeutic drug target without adverse effects is a challenging task in the drug designing, discovery, and development process. The systematic integration of multi-omics data from various data/knowledge bases through computational techniques enables to identify potential lead molecules and study the therapeutic properties. Over the last decades, several drug discoveries using multi-omics and huge dataset integration methods proven with successive results. In this paper, we present different types of computational approaches for prediction of potential lead molecules through the systems-level integration of multi-omics datasets.

Key words: Systematic Integration;Multi-omics Datasets;Drug Discovery;Lead Identification;Big Data Analysis


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