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 137
  • Downloads 0

How To Cite

Ashok Kumar T (2017). Prediction of Potential Lead Molecules through Systematic Integration of Multi-omics Datasets - A Mini-Review. International Journal of Current Research and Review, 9(19), 26-31. https://europub.co.uk/articles/-A-607852