Networks and Algorithms in Heterogeneous Network-based Methods for Drug-target Interaction Prediction: A Survey and Comparison

Shanglin Gao, Zhixing Liu, Ying Li

2022

Abstract

A key step in drug discovery is the identification of drug-target interactions (DTIs). However, only a small fraction of DTIs have been experimentally validated due to the time-consuming and expensive aspects of experimental validation. To improve the efficiency of drug discovery, many computer-aided drug-target prediction methods have been developed to guide experimental validation. There are numerous prediction methods for DTIs, among which heterogeneous network-based methods do not depend on the 3D structures of the targets or compound molecules and they avoid the shortcomings of machine learning methods for negative training dataset selection, exhibiting greater advantages than other methods. Currently, although many reviews of drug-target prediction methods exist, only a few of them have addressed network-based methods, and they have not been compared in terms of the heterogeneous networks and algorithms used. Therefore, this paper presents a review of the heterogeneous network-based methods for DTI prediction, compares the differences in the prediction performance of different heterogeneous networks and algorithms from the perspective of the networks and algorithms used by these methods, and provides suggestions for the selection of heterogeneous networks and algorithms.

Paper Citation

in Harvard Style

Gao S., Liu Z. and Li Y. (2022). Networks and Algorithms in Heterogeneous Network-based Methods for Drug-target Interaction Prediction: A Survey and Comparison. In Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH, ISBN 978-989-758-596-8, pages 67-75. DOI: 10.5220/0011230500003438

in Bibtex Style

@conference{ichih22,
author={Shanglin Gao and Zhixing Liu and Ying Li},
title={Networks and Algorithms in Heterogeneous Network-based Methods for Drug-target Interaction Prediction: A Survey and Comparison},
booktitle={Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,},
year={2022},
pages={67-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011230500003438},
isbn={978-989-758-596-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,
TI - Networks and Algorithms in Heterogeneous Network-based Methods for Drug-target Interaction Prediction: A Survey and Comparison
SN - 978-989-758-596-8
AU - Gao S.
AU - Liu Z.
AU - Li Y.
PY - 2022
SP - 67
EP - 75
DO - 10.5220/0011230500003438