| |
| |
VarDrugPub : Variant-Gene-Drug Relation Database
VarDrugPub is a database that contains genomic variants and pharmacogenomic information. There are numerous research studies published in PubMed about the association/relationship between drug responses and somatic mutations. We use a deep learning-based text mining technique to identify mutation-gene-drug relations in all the PubMed articles. You can use VarDrugPub at http://vardrugpub.korea.ac.kr.
|
|
|
|
|
|
|
Download
|
|
- Extracted Mutataion-Gene-Drug relations with PMID and diseases : DOWNLOAD
|
|
Statistics
|
|
- Total number of PMIDs in the data : 5,685
- Total number of Sentence(with PMID)-Drug-Mutation-Gene in the data : 11,112
- Total number of unique Mutation-Drug-(Gene) pairs in the data : 5,712
- Total number of unique mutations in the data : 3,591
- Total number of unique genes in the data : 1,077
- Total number of unique drugs in the data : 901
(Last updated on April 25, 2017)
|
|
Citation
|
|
Kyubum Lee, Byounggun Kim, Yonghwa Choi, Sunkyu Kim, Wonho Shin, Sunwon Lee, Sungjoon Park, Seongsoon Kim, Aik Choon Tan, and Jaewoo Kang: Deep learning of mutation-gene-drug relations from the literature. BMC Bioinformatics, 2018. DOI: 10.1186/s12859-018-2029-1 [Full Text]
|
|
Contact - for bugs, comments and questions
|
|
Kyubum Lee: kyubumlee_at_korea_dot_ac_dot_kr
Byounggun Kim: byounggun_at_korea_dot_ac_dot_kr
Aik-Choon Tan: aikchoon.tan_at_ucdenver_dot_edu
Jaewoo Kang: kangj_at_korea_dot_ac_dot_kr
|
Last updated on May 23, 2017
|
|
