ZK Drugresist - Automatic Extraction of Drug Resistance Mutations and Expression Level Changes from Medline Abstracts

Zoya Khalid, Ugur Sezerman

2016

Abstract

Drugs are small molecules that generally work by binding to its target which is often a protein. This ligand molecule binding helps in the treatment of various diseases. Major obstacle to treat complex diseases is the phenomena underlying drug resistance mechanisms which are not fully understood so far. Previously reported literature has mentioned few of the motives behind this complex mechanism which dominantly include protein missense mutations and the changes in the expression levels of certain genes. A better understanding of these mechanisms is getting crucial for the researchers. Retrieving information on these processes can be challenging as scientific literature has huge pool of data and extracting the required information has always been a laborious task. We developed an online pipeline ZK DrugResist that automatically extracts PubMed abstracts of drug resistance paired with either mutation or expression for a given disease. Our classifier showed 97.7% accuracy with 93.5% recall and 96.5% F-measure. This system saves plenty of time in terms of data mining and also reduces efforts in retrieving information from online resources.

Paper Citation

in Harvard Style

Khalid Z. and Sezerman U. (2016). ZK Drugresist - Automatic Extraction of Drug Resistance Mutations and Expression Level Changes from Medline Abstracts . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 168-173. DOI: 10.5220/0005664501680173

in Bibtex Style

@conference{bioinformatics16,
author={Zoya Khalid and Ugur Sezerman},
title={ZK Drugresist - Automatic Extraction of Drug Resistance Mutations and Expression Level Changes from Medline Abstracts},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2016)},
year={2016},
pages={168-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005664501680173},
isbn={978-989-758-170-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2016)
TI - ZK Drugresist - Automatic Extraction of Drug Resistance Mutations and Expression Level Changes from Medline Abstracts
SN - 978-989-758-170-0
AU - Khalid Z.
AU - Sezerman U.
PY - 2016
SP - 168
EP - 173
DO - 10.5220/0005664501680173