Prediction of Potential Lead Molecules through Systematic Integration of Multi-omics Datasets - A Mini-Review
Journal Title: International Journal of Current Research and Review - Year 2017, Vol 9, Issue 19
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.
Authors and Affiliations
Ashok Kumar T
Keywords
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- EP ID EP607852
- DOI 10.7324/IJCRR.2017.9194
- Views 136
- Downloads 0
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