AMGDTI: drug–target interaction prediction based on adaptive meta-graph learning in heterogeneous network
Author:
Affiliation:
1. Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University , Hefei, 230601 , China
2. College of Computer Science and Electronic Engineering, Hunan University , Hunan, 410082 , China
Abstract
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
University Synergy Innovation Program of Anhui Province
Anhui Provincial Natural Science Foundation
Publisher
Oxford University Press (OUP)
Subject
Molecular Biology,Information Systems
Link
https://academic.oup.com/bib/article-pdf/25/1/bbad474/54823473/bbad474.pdf
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3. Colddta: utilizing data augmentation and attention-based feature fusion for drug-target binding affinity prediction;Fang;Comput Biol Med,2023
4. Identification of chemogenomic features from drug–target interaction networks using interpretable classifiers;Tabei;Bioinformatics,2012
5. Exploration of the correlation between gpcrs and drugs based on a learning to rank algorithm;Xiaoqing;Comput Biol Med,2020
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