The Prediction of Drug-Disease Correlation Based on Gene Expression Data

BioMed Research International
Hui CuiLu Xie

Abstract

The explosive growth of high-throughput experimental methods and resulting data yields both opportunity and challenge for selecting the correct drug to treat both a specific patient and their individual disease. Ideally, it would be useful and efficient if computational approaches could be applied to help achieve optimal drug-patient-disease matching but current efforts have met with limited success. Current approaches have primarily utilized the measureable effect of a specific drug on target tissue or cell lines to identify the potential biological effect of such treatment. While these efforts have met with some level of success, there exists much opportunity for improvement. This specifically follows the observation that, for many diseases in light of actual patient response, there is increasing need for treatment with combinations of drugs rather than single drug therapies. Only a few previous studies have yielded computational approaches for predicting the synergy of drug combinations by analyzing high-throughput molecular datasets. However, these computational approaches focused on the characteristics of the drug itself, without fully accounting for disease factors. Here, we propose an algorithm to specifically predict sy...Continue Reading

References

Feb 15, 2001·The Journal of Allergy and Clinical Immunology·H S Nelson
Nov 18, 2005·The New England Journal of Medicine·John A CurtinBoris C Bastian
Dec 31, 2005·Nucleic Acids Research·David S WishartJennifer Woolsey
Sep 25, 2010·BMC Systems Biology·Zikai WuLuonan Chen
Jun 7, 2011·The New England Journal of Medicine·Paul B ChapmanUNKNOWN BRIM-3 Study Group
Jan 6, 2012·PLoS Computational Biology·Xing-Ming ZhaoPeer Bork
Dec 30, 2014·Database : the Journal of Biological Databases and Curation·Yanbin LiuXin Chen
May 23, 2015·Molecular Cell·Jason A ReuterMichael P Snyder
Aug 1, 2015·CPT: Pharmacometrics & Systems Pharmacology·J YangY Xie
Jan 19, 2017·Journal of Theoretical Biology·Qian XuDong-Qing Wei
May 6, 2017·Briefings in Bioinformatics·Zhen ShengZhiwei Cao

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Citations

Jan 11, 2019·BioMed Research International·Minhui WangJiajia Chen
Apr 16, 2021·BioMed Research International·Aizhen Wang, Minhui Wang

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Datasets Mentioned

BETA
GSE51068
GSE47552

Methods Mentioned

BETA
RNASeq

Software Mentioned

limma
R

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