IGPRED : Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

IGPRED : Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction

Published:2021-05-25 Issue:10 Volume:89 Page:1277-1288
ISSN:0887-3585
Container-title:Proteins: Structure, Function, and Bioinformatics
language:en
Short-container-title:Proteins

Author:

Görmez Yasin¹^ORCID,Sabzekar Mostafa²,Aydın Zafer³

Affiliation:

1. Faculty of Economics and Administrative Sciences, Management Information Systems Sivas Cumhuriyet University Sivas Turkey

2. Department of Computer Engineering Birjand University of Technology Birjand Iran

3. Engineering Faculty, Computer Engineering Department Abdullah Gül University Kayseri Turkey

Publisher

Wiley

Subject

Molecular Biology,Biochemistry,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/prot.26149

Reference64 articles.

1. Protein Modeling and Structure-Based Drug Design

2. Protein structure prediction

3. Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure

4. The PSIPRED protein structure prediction server

5. Porter, PaleAle 4.0: high-accuracy prediction of protein secondary structure and relative solvent accessibility

Cited by 13 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. Self-attention and asymmetric multi-layer perceptron-gated recurrent unit blocks for protein secondary structure prediction;Applied Soft Computing;2024-07

2. Repurposing of therapeutic antibodies against dengue virus envelope protein receptor binding domain;Archives of Microbiology;2024-06-20

3. Multi-step prediction of chlorophyll concentration based on adaptive graph-temporal convolutional network with series decomposition;Measurement Science and Technology;2023-12-08

4. Prediction of Protein Secondary Structure Based on Lightweight Convolutional Neural Network;2023 6th International Conference on Computer Network, Electronic and Automation (ICCNEA);2023-09-22

5. The value of deep neural networks in the pathological classification of thyroid tumors;Diagnostic Pathology;2023-08-19

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