MolHF: Molecular Heterogeneous Attributes Fusion for Drug-Target Affinity Prediction on Heterogeneity-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

MolHF: Molecular Heterogeneous Attributes Fusion for Drug-Target Affinity Prediction on Heterogeneity

Published:2023-05-01 Issue:5 Volume:E106.D Page:697-706
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

WANG Runze¹,ZHANG Zehua¹,ZHANG Yueqin¹,JIANG Zhongyuan²,SUN Shilin¹,MA Guixiang³

Affiliation:

1. Taiyuan University of Technology

2. Xidian University

3. University of Illinois at Chicago

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E106.D/5/E106.D_2022DLP0023/_pdf

Reference30 articles.

1. [1] S. Lu, Q. Ye, D. Singh, Y. Cao, J.K. Diedrich, J.R. Yates, E. Villa, D.W. Cleveland, and K.D. Corbett, “The SARS-CoV-2 nucleocapsid phosphoprotein forms mutually exclusive condensates with RNA and the membrane-associated M protein,” Nature communications, vol.12, pp.1-15, Jan. 2021. 10.1038/s41467-020-20768-y

2. [2] S.S. Abdool Karim, T. de Oliveira, “New SARS-CoV-2 variants — clinical, public health, and vaccine implications,” New England Journal of Medicine, vol.384, pp.1866-1868, May 2021. 10.1056/nejmc2100362

3. [3] M. Bagherian, E. Sabeti, K. Wang, M.A. Sartor, Z. Nikolovska-Coleska, and K. Najarian, “Machine learning approaches and databases for prediction of drug-target interaction: a survey paper,” Briefings in bioinformatics, vol.22, no.1, pp.247-269, Jan. 2021. 10.1093/bib/bbz157

4. [4] H.C.S. Chan, H. Shan, T. Dahoun, H. Vogel, and S. Yuan, “Advancing drug discovery via artificial intelligence,” Trends in pharmacological sciences, vol.40, pp.801-801, Oct. 2019. 10.1016/j.tips.2019.07.013

5. [5] L. Peska, K. Buza, and J. Koller, “Drug-target interaction prediction: A Bayesian ranking approach,” Computer methods and programs in biomedicine, vol.152, pp.15-21, Dec. 2017. 10.1016/j.cmpb.2017.09.003

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3