MONN: A Multi-objective Neural Network for Predicting Compound-Protein Interactions and Affinities-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

MONN: A Multi-objective Neural Network for Predicting Compound-Protein Interactions and Affinities

Published:2020-04 Issue:4 Volume:10 Page:308-322.e11
ISSN:2405-4712
Container-title:Cell Systems
language:en
Short-container-title:Cell Systems

Author:

Li Shuya,Wan Fangping,Shu Hantao,Jiang Tao,Zhao Dan,Zeng Jianyang

Funder

National Natural Science Foundation of China

Turing AI Institute of Nanjing

Zhongguancun Haihua Institut

Publisher

Elsevier BV

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Reference54 articles.

1. Fast kronecker product kernel methods via generalized vec trick;Airola;IEEE Trans. Neural Netw. Learn. Syst.,2018

2. Predicting the sequence specificities of DNA-and rna-binding proteins by deep learning;Alipanahi;Nat. Biotechnol.,2015

3. The Protein Data Bank;Berman;Nucleic Acids Res,2000

4. Quantifying the chemical beauty of drugs;Bickerton;Nat. Chem.,2012

5. Drug–target interaction prediction: databases, web servers and computational models;Chen;Brief. Bioinform.,2016

Cited by 155 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MMDG-DTI: Drug–target interaction prediction via multimodal feature fusion and domain generalization;Pattern Recognition;2025-01

2. Crucial rather than random: Attacking crucial substructure for backdoor attacks on graph neural networks;Engineering Applications of Artificial Intelligence;2024-10

3. Co-guided Dual-channel Graph Neural Networks for the prediction of compound–protein interaction;Applied Soft Computing;2024-09

4. Opportunities and challenges of graph neural networks in electrical engineering;Nature Reviews Electrical Engineering;2024-08-05

5. A review of deep learning methods for ligand based drug virtual screening;Fundamental Research;2024-07

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