咨询与建议

限定检索结果

文献类型

  • 100 篇 期刊文献
  • 48 篇 会议
  • 15 篇 资讯
  • 2 篇 学位论文

馆藏范围

  • 165 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 113 篇 工学
    • 86 篇 计算机科学与技术...
    • 28 篇 电气工程
    • 16 篇 生物工程
    • 9 篇 信息与通信工程
    • 9 篇 控制科学与工程
    • 9 篇 化学工程与技术
    • 8 篇 软件工程
    • 5 篇 生物医学工程(可授...
    • 1 篇 光学工程
    • 1 篇 仪器科学与技术
    • 1 篇 材料科学与工程(可...
    • 1 篇 电子科学与技术(可...
    • 1 篇 环境科学与工程(可...
    • 1 篇 食品科学与工程(可...
  • 72 篇 理学
    • 67 篇 生物学
    • 12 篇 化学
    • 4 篇 数学
    • 4 篇 物理学
    • 3 篇 统计学(可授理学、...
  • 19 篇 农学
    • 10 篇 作物学
  • 13 篇 医学
    • 6 篇 临床医学
    • 5 篇 基础医学(可授医学...
    • 2 篇 特种医学
    • 1 篇 药学(可授医学、理...
  • 12 篇 管理学
    • 12 篇 管理科学与工程(可...

主题

  • 165 篇 protein secondar...
  • 17 篇 deep learning
  • 17 篇 machine learning
  • 14 篇 neural networks
  • 12 篇 bioinformatics
  • 10 篇 protein structur...
  • 10 篇 multiple sequenc...
  • 8 篇 svm
  • 8 篇 compound pyramid...
  • 8 篇 structure predic...
  • 7 篇 support vector m...
  • 7 篇 feature extracti...
  • 6 篇 pssm
  • 6 篇 protein structur...
  • 6 篇 homology modelin...
  • 6 篇 convolutional ne...
  • 5 篇 molecular modeli...
  • 5 篇 support vector m...
  • 5 篇 pcr
  • 5 篇 convolutional ne...

机构

  • 4 篇 univ sci & techn...
  • 4 篇 qilu univ techno...
  • 3 篇 univ cyprus dept...
  • 2 篇 visvesvaraya nat...
  • 2 篇 univ gadjah mada...
  • 2 篇 univ estadual ca...
  • 2 篇 georgia state un...
  • 2 篇 yunnan univ sch ...
  • 2 篇 qilu univ techno...
  • 2 篇 univ cyprus dept...
  • 2 篇 shri ramdeobaba ...
  • 2 篇 de montfort univ...
  • 2 篇 univ oviedo dept...
  • 2 篇 univ sci & techn...
  • 2 篇 univ cyprus dept...
  • 2 篇 institute of int...
  • 2 篇 biocomputing res...
  • 2 篇 iowa state univ ...
  • 2 篇 univ cyprus dept...
  • 1 篇 max planck inst ...

作者

  • 8 篇 yang bingru
  • 7 篇 liu yihui
  • 6 篇 agathocleous mic...
  • 6 篇 ma yuming
  • 6 篇 christodoulou ch...
  • 4 篇 promponas vasili...
  • 3 篇 jin xin
  • 3 篇 cheng jinyong
  • 3 篇 hou wei
  • 3 篇 yao shaowen
  • 3 篇 jiang qian
  • 3 篇 vassiliades vass...
  • 3 篇 yang wei
  • 3 篇 pedrini helio
  • 3 篇 aydin zafer
  • 3 篇 de oliveira gabr...
  • 3 篇 qu wu
  • 3 篇 zhou zhun
  • 3 篇 dias zanoni
  • 2 篇 hassan rohayanti

语言

  • 146 篇 英文
  • 17 篇 其他
  • 2 篇 中文
检索条件"主题词=Protein secondary structure Prediction"
165 条 记 录,以下是1-10 订阅
排序:
protein secondary structure prediction based on Wasserstein generative adversarial networks and temporal convolutional networks with convolutional block attention modules
收藏 引用
MATHEMATICAL BIOSCIENCES AND ENGINEERING 2023年 第2期20卷 2203-2218页
作者: Yuan, Lu Ma, Yuming Liu, Yihui Qilu Univ Technol Shandong Acad Sci Sch Comp Sci & Technol Jinan 250353 Peoples R China
As an important task in bioinformatics, protein secondary structure prediction (PSSP) is not only beneficial to protein function research and tertiary structure prediction, but also to promote the design and developme... 详细信息
来源: 评论
Enhanced protein secondary structure prediction Through Multi-View Multi-Feature Evolutionary Deep Fusion Method
收藏 引用
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2025年
作者: Qian, Yining Su, Lijie Xu, Meiling Tang, Lixin Northeastern Univ Natl Frontiers Sci Ctr Ind Intelligence & Syst Opt Shenyang 110819 Peoples R China Northeastern Univ Minist Educ Key Lab Data Analyt & Optimizat Smart Ind Shenyang 110819 Peoples R China Liaoning Engn Lab Data Analyt & Optimizat Smart In Shenyang 110819 Peoples R China Liaoning Key Lab Mfg Syst & Logist Optimizat Shenyang 110819 Peoples R China Natl Frontiers Sci Ctr Ind Intelligence & Syst Opt Shenyang 110819 Peoples R China
Understanding protein secondary structure is crucial for analyzing their functions and designing drugs. Accurately predicting its eight states is both vital and challenging. Despite numerous proposed methods, research... 详细信息
来源: 评论
ProAttUnet: Advancing protein secondary structure prediction with deep learning via U-Net dual-pathway feature fusion and ESM2 pretrained protein language model
收藏 引用
COMPUTATIONAL BIOLOGY AND CHEMISTRY 2025年 118卷
作者: Cheng, Long Lu, Weizhong Xia, Yiyi Lu, Yiming Shen, Jiyun Hui, Zhiqiang Xu, Yixin Wu, Hongjie Chen, Jing Fu, Qiming Lu, You Suzhou Univ Sci & Technol Sch Elect & Informat Engn Suzhou 215009 Peoples R China Tianping Coll Suzhou Univ Sci & Technol Suzhou 215009 Peoples R China Nanjing Univ Sci & Technol Sch Automat Nanjing 210094 Peoples R China
protein secondary structure prediction remains a pivotal concern within the domain of bioinformatics. In this innovative research, we introduce a novel methodology to further enhance a protein prediction model grounde... 详细信息
来源: 评论
Post-processing enhances protein secondary structure prediction with second order deep learning and embeddings
收藏 引用
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL 2025年 27卷 243-251页
作者: Chatzimiltis, Sotiris Agathocleous, Michalis Promponas, Vasilis J. Christodoulou, Chris Univ Cyprus Dept Comp Sci Nicosia Cyprus Univ Nicosia Dept Comp Sci Nicosia Cyprus Univ Cyprus Dept Biol Sci Nicosia Cyprus Univ Surrey Inst Commun Syst ICS 5G 6GIC Guildford England
protein secondary structure prediction (PSSP) is regarded as a challenging task in bioinformatics, and numerous approaches to achieve a more accurate prediction have been proposed. Accurate PSSP can be instrumental in... 详细信息
来源: 评论
A Hybrid Bidirectional Long Short-Term Memory and Bidirectional Gated Recurrent Unit Architecture for protein secondary structure prediction
收藏 引用
IEEE ACCESS 2024年 12卷 115346-115355页
作者: Bongirwar, Vrushali Mokhade, A. S. Shri Ramdeobaba Coll Engn & Management Nagpur 440013 India Visvesvaraya Natl Inst Technol Nagpur 440010 India
protein secondary structure prediction plays a pivotal role in deciphering protein function and structure, with implications for drug discovery, functional annotation, and molecular biology research. Deep learning tec... 详细信息
来源: 评论
protein secondary structure prediction Using Cascaded Feature Learning Model
收藏 引用
APPLIED SOFT COMPUTING 2023年 140卷
作者: Geethu, S. Vimina, E. R. Amrita Vishwa Vidyapeetham Dept Comp Sci & IT Sch Comp Kochi Campus Kochi India
The protein secondary structure prediction (PSSP) is pivotal for predicting tertiary structure, which is proliferating in demand for drug design and development. Further, it can be used to learn different protein func... 详细信息
来源: 评论
MFTrans: A multi-feature transformer network for protein secondary structure prediction
收藏 引用
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES 2024年 第Part1期267卷 131311页
作者: Chen, Yifu Chen, Guanxing Chen, Calvin Yu-Chian Sun Yat Sen Univ Artificial Intelligence Med Res Ctr Sch Intelligent Syst Engn Shenzhen Campus Shenzhen 518107 Guangdong Peoples R China Peking Univ Shenzhen Grad Sch AI Sci Preferred Program AI4S Shenzhen 518055 Guangdong Peoples R China Peking Univ Sch Elect & Comp Engn Shenzhen Grad Sch Shenzhen 518055 Guangdong Peoples R China China Med Univ Hosp Dept Med Res Taichung 40447 Taiwan Asia Univ Dept Bioinformat & Med Engn Taichung 41354 Taiwan
In the rapidly evolving field of computational biology, accurate prediction of protein secondary structures is crucial for understanding protein functions, facilitating drug discovery, and advancing disease diagnostic... 详细信息
来源: 评论
protein secondary structure prediction Based on Fusion of Machine Learning Classifiers  21
Protein Secondary Structure Prediction Based on Fusion of Ma...
收藏 引用
36th Annual ACM Symposium on Applied Computing (SAC)
作者: de Oliveira, Gabriel Bianchin Pedrini, Helio Dias, Zanoni Univ Estadual Campinas Inst Comp Campinas SP Brazil
protein secondary structure prediction plays an important role in protein folding and function classification. Although the works available in the literature present good results, protein secondary structure predictio... 详细信息
来源: 评论
protein secondary structure prediction using a lightweight convolutional network and label distribution aware margin loss
收藏 引用
KNOWLEDGE-BASED SYSTEMS 2022年 237卷 107771-107771页
作者: Yang, Wei Hu, Zhentao Zhou, Lin Jin, Yong Henan Univ Sch Comp & Informat Engn Henan Key Lab Big Data Anal & Proc Kaifeng 475004 Peoples R China Henan Univ Sch Artificial Intelligence Zhengzhou 450046 Peoples R China
protein secondary structure prediction (PSSP) is an important task in computational molecular biology. Recently, deep neural networks have demonstrated great potential in improving the performance of eight-class PSSP.... 详细信息
来源: 评论
Deep learning for protein secondary structure prediction: Pre and post-AlphaFold
收藏 引用
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL 2022年 20卷 6271-6286页
作者: Ismi, Dewi Pramudi Pulungan, Reza Afiahayatia Univ Gadjah Mada Fac Math & Nat Sci Dept Comp Sci & Elect Yogyakarta Indonesia Univ Ahmad Dahlan Fac Ind Technol Dept Infomat Yogyakarta Indonesia
This paper aims to provide a comprehensive review of the trends and challenges of deep neural networks for protein secondary structure prediction (PSSP). In recent years, deep neural networks have become the primary m... 详细信息
来源: 评论