Assessing Drug Target Suitability Using TargetMine

Overview

Journal F1000Res

Specialties Biomedical Engineering
Science

Date 2019 Jul 6

PMID 30984386

Citations 2

Authors

Yi-An Chen

Erika Yogo

Naoko Kurihara

Tomoshige Ohno

Chihiro Higuchi

Masatomo Rokushima

Kenji Mizuguchi

Affiliations

Soon will be listed here.

Abstract

In selecting drug target candidates for pharmaceutical research, the linkage to disease and the tractability of the target are two important factors that can ultimately determine the drug efficacy. Several existing resources can provide gene-disease associations, but determining whether such a list of genes are attractive drug targets often requires further information gathering and analysis. In addition, few resources provide the information required to evaluate the tractability of a target. To address these issues, we have updated TargetMine, a data warehouse for assisting target prioritization, by integrating new data sources for gene-disease associations and enhancing functionalities for target assessment. As a data mining platform that integrates a variety of data sources, including protein structures and chemical compounds, TargetMine now offers a powerful and flexible interface for constructing queries to check genetic evidence, tractability and other relevant features for the candidate genes. We demonstrate these features by using several specific examples.

Citing Articles

DNA Methylation-Related circRNA_0116449 Is Involved in Lipid Peroxidation in Traumatic Brain Injury.

Zheng P, Ren D, Yu C, Zhang X, Zhang Y Front Mol Neurosci. 2022; 15:904913.

PMID: 35721315 PMC: 9201693. DOI: 10.3389/fnmol.2022.904913.

The TargetMine Data Warehouse: Enhancement and Updates.

Chen Y, Tripathi L, Fujiwara T, Kameyama T, Itoh M, Mizuguchi K Front Genet. 2019; 10:934.

PMID: 31649722 PMC: 6794636. DOI: 10.3389/fgene.2019.00934.

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