Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks

被引:0
|
作者
ShanShan Hu
Chenglin Zhang
Peng Chen
Pengying Gu
Jun Zhang
Bing Wang
机构
[1] School of Computer Science and Technology,
[2] Anhui University,undefined
[3] Institutes of Physical Science and Information Technology,undefined
[4] Anhui University,undefined
[5] Cadre’s Ward (South District),undefined
[6] The First Affiliated Hospital of USTC,undefined
[7] Division of Life Sciences and Medicine,undefined
[8] University of Science and Technology of China,undefined
[9] School of Electrical and Information Engineering,undefined
[10] Anhui University of Technology,undefined
[11] School of Electrical and Information Engineering,undefined
[12] Anhui University,undefined
来源
关键词
Drug-target interactions; CNN; Protein sequence; Ensemble method;
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
  • [1] Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks
    Hu, ShanShan
    Zhang, Chenglin
    Chen, Peng
    Gu, Pengying
    Zhang, Jun
    Wang, Bing
    [J]. BMC BIOINFORMATICS, 2019, 20 (01)
  • [2] Graph Convolutional Neural Networks for Predicting Drug-Target Interactions
    Torng, Wen
    Altman, Russ B.
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2019, 59 (10) : 4131 - 4149
  • [3] Using Novel Convolutional Neural Networks Architecture to Predict Drug-Target Interactions
    Hu, ShanShan
    Xia, Denan
    Chen, Peng
    Wang, Bing
    [J]. INTELLIGENT COMPUTING THEORIES AND APPLICATION, PT II, 2018, 10955 : 432 - 437
  • [4] Predicting Drug-Target Interactions Using Drug-Drug Interactions
    Kim, Shinhyuk
    Jin, Daeyong
    Lee, Hyunju
    [J]. PLOS ONE, 2013, 8 (11):
  • [5] A computational approach for predicting drug-target interactions from protein sequence and drug substructure fingerprint information
    Li, Yang
    Liu, Xiao-zhang
    You, Zhu-Hong
    Li, Li-Ping
    Guo, Jian-Xin
    Wang, Zheng
    [J]. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 36 (01) : 593 - 609
  • [6] Predicting Drug-Target Affinity Based on Recurrent Neural Networks and Graph Convolutional Neural Networks
    Tian, Qingyu
    Ding, Mao
    Yang, Hui
    Yue, Caibin
    Zhong, Yue
    Du, Zhenzhen
    Liu, Dayan
    Liu, Jiali
    Deng, Yufeng
    [J]. COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2022, 25 (04) : 634 - 641
  • [7] RoFDT: Identification of Drug-Target Interactions from Protein Sequence and Drug Molecular Structure Using Rotation Forest
    Wang, Ying
    Wang, Lei
    Wong, Leon
    Zhao, Bowei
    Su, Xiaorui
    Li, Yang
    You, Zhuhong
    [J]. BIOLOGY-BASEL, 2022, 11 (05):
  • [8] RFDT: A Rotation Forest-based Predictor for Predicting Drug-Target Interactions Using Drug Structure and Protein Sequence Information
    Wang, Lei
    You, Zhu-Hong
    Chen, Xing
    Yan, Xin
    Liu, Gang
    Zhang, Wei
    [J]. CURRENT PROTEIN & PEPTIDE SCIENCE, 2018, 19 (05) : 445 - 454
  • [9] A Convolutional Neural Network System to Discriminate Drug-Target Interactions
    Hu, ShanShan
    Xia, DeNan
    Su, Benyue
    Chen, Peng
    Wang, Bing
    Li, Jinyan
    [J]. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 18 (04) : 1315 - 1324
  • [10] Overfit deep neural network for predicting drug-target interactions
    Xiao, Xiaolin
    Liu, Xiaozhi
    He, Guoping
    Liu, Hongwei
    Guo, Jinkuo
    Bian, Xiyun
    Tian, Zhen
    Ma, Xiaofang
    Li, Yanxia
    Xue, Na
    Zhang, Chunyan
    Gao, Rui
    Wang, Kuan
    Zhang, Cheng
    Wang, Cuancuan
    Liu, Mingyong
    Du, Xinping
    [J]. ISCIENCE, 2023, 26 (09)