Versatile Framework for Drug–Target Interaction Prediction by Considering Domain-Specific Features-Reference-Cited by-同舟云学术

Versatile Framework for Drug–Target Interaction Prediction by Considering Domain-Specific Features

Published:2024-07-08 Issue:14 Volume:64 Page:5646-5656
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Liu Shuo¹²,Yu Jialiang²,Ni Ningxi²,Wang Zidong²,Chen Mengyun²,Li Yuquan³,Xu Chen²,Ding Yahao²,Zhang Jun⁴^ORCID,Yao Xiaojun⁵^ORCID,Liu Huanxiang⁵^ORCID

Affiliation:

1. School of Pharmacy, Lanzhou University, Gansu 730000, China

2. Huawei Technologies Co., Ltd., Hangzhou 310000, China

3. College of Chemistry and Chemical Engineering, Lanzhou University, Gansu 730000, China

4. Changping Laboratory, Beijing 102200, China

5. Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR 999078, China

Funder

Fundo para o Desenvolvimento das Ci?ncias e da Tecnologia

Macao Polytechnic University

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.4c00403

Reference53 articles.

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4. Drug–target interaction prediction: databases, web servers and computational models

5. Zhao, Q.; Xiao, F.; Yang, M.; Li, Y.; Wang, J. AttentionDTA: Prediction of Drug-Target Binding Affinity Using Attention Model. 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019; pp 64–69.