Prediction of MoRFs based on sequence properties and convolutional neural networks

被引:0
|
作者
Hao He
Yatong Zhou
Yue Chi
Jingfei He
机构
[1] Hebei University of Technology,School of Electronic and Information Engineering
来源
BioData Mining | / 14卷
关键词
Molecular recognition features; Intrinsically disordered proteins; Prediction; Convolutional neural network;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] CoMemMoRFPred: Sequence-based Prediction of MemMoRFs by Combining Predictors of Intrinsic Disorder, MoRFs and Disordered Lipid-binding Regions
    Basu, Sushmita
    Hegedus, Tamas
    Kurgan, Lukasz
    JOURNAL OF MOLECULAR BIOLOGY, 2023, 435 (21)
  • [22] A Model of Traffic Accident Prediction Based on Convolutional Neural Network
    Lu Wenqi
    Luo Dongyu
    Yan Menghua
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION ENGINEERING (ICITE), 2017, : 198 - 202
  • [23] Computational prediction of MoRFs based on protein sequences and minimax probability machine
    He, Hao
    Zhao, Jiaxiang
    Sun, Guiling
    BMC BIOINFORMATICS, 2019, 20 (01)
  • [24] Prediction of paste yield stress based on three-dimensional convolutional neural networks
    Liu Z.
    Cheng H.
    Mao M.
    Li Z.
    Wu S.
    Jiang G.
    Sun W.
    Liu W.
    Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2024, 46 (08): : 1337 - 1348
  • [25] Urban flood susceptibility assessment based on convolutional neural networks
    Zhao, Gang
    Pang, Bo
    Xu, Zongxue
    Peng, Dingzhi
    Zuo, Depeng
    JOURNAL OF HYDROLOGY, 2020, 590 (590)
  • [26] Wind speed interval prediction based on multidimensional time series of Convolutional Neural Networks
    Wang, Jiyang
    Li, Zhiwu
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 121
  • [27] Secondary structure prediction of protein based on multi scale convolutional attention neural networks
    Xu, Ying
    Cheng, Jinyong
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2021, 18 (04) : 3404 - 3422
  • [28] Effective training of convolutional neural networks for face-based gender and age prediction
    Antipov, Grigory
    Baccouche, Moez
    Berrani, Sid-Ahmed
    Dugelay, Jean-Luc
    PATTERN RECOGNITION, 2017, 72 : 15 - 26
  • [29] Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks
    Xiaoyong Pan
    Peter Rijnbeek
    Junchi Yan
    Hong-Bin Shen
    BMC Genomics, 19
  • [30] Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks
    Pan, Xiaoyong
    Rijnbeek, Peter
    Yan, Junchi
    Shen, Hong-Bin
    BMC GENOMICS, 2018, 19