Home|Journals Follow on Twitter| Subscribe to List

Directory for Medical Articles

Open Access

Original Research

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..

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

Share this Article

Journal of Behavioral Health


ScopeMed Home
Follow ScopeMed on Twitter
Article Tools
eJPort Journal Hosting
About ScopeMed
License Information
Terms & Conditions
Privacy Policy
Suggest a Journal
Publisher Login
Contact Us

The articles in Scopemed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
ScopeMed is a Database Service for Scientific Publications. Copyright ScopeMed Information Services.
Scopemed Buttons