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科研机构
新疆理化技术研究所 [8]
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期刊论文 [8]
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2020 [3]
2019 [2]
2018 [1]
2009 [1]
2008 [1]
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Chemistry [1]
Crystallog... [1]
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A survey of current trends in computational predictions of protein-protein interactions
期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2020, 卷号: 14, 期号: 4, 页码: 1-9
作者:
Wang, YB (Wang, Yanbin)[ 1,2 ]
;
You, ZH (You, Zhuhong)[ 1 ]
;
Li, LP (Li, Liping)[ 1 ]
;
Chen, ZH (Chen, Zhanheng)[ 1,2 ]
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2020/04/23
proteomics
protein-protein interactions
protein feature extraction
computational proteomics
Prediction of Drug-Target Interactions From Multi-Molecular Network Based on Deep Walk Embedding Model
期刊论文
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2020, 卷号: 8, 期号: 6, 页码: 1-9
作者:
Chen, ZH (Chen, Zhan-Heng)[ 1,2 ]
;
You, ZH (You, Zhu-Hong)[ 1,2 ]
;
Guo, ZH (Guo, Zhen-Hao)[ 1,2 ]
;
Yi, HC (Yi, Hai-Cheng)[ 1,2 ]
;
Luo, GX (Luo, Gong-Xu)[ 1,2 ]
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2020/09/09
drug-target interactions
molecular association network
attribute feature
behavior feature
random forest
NLPEI: A Novel Self-Interacting Protein Prediction Model Based on Natural Language Processing and Evolutionary Information
期刊论文
EVOLUTIONARY BIOINFORMATICS, 2020, 卷号: 16, 期号: 12, 页码: 1-12
作者:
Jia, LN (Jia, Li-Na)[ 1 ]
;
Yan, X (Yan, Xin)[ 2,3 ]
;
You, ZH (You, Zhu-Hong)[ 4 ]
;
Zhou, X (Zhou, Xi)[ 4 ]
;
Li, LP (Li, Li-Ping)[ 4 ]
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/03/19
Self-interacting protein
natural language processing
evolutionary information
stacked auto-encoder
BGFE: A Deep Learning Model for ncRNA-Protein Interaction Predictions Based on Improved Sequence Information
期刊论文
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2019, 卷号: 20, 期号: 4, 页码: 1-14
作者:
Zhan, ZH (Zhan, Zhao-Hui)[ 1 ]
;
Jia, LN (Jia, Li-Na)[ 2 ]
;
Zhou, Y (Zhou, Yong)[ 1 ]
;
Li, LP (Li, Li-Ping)[ 3 ]
;
Yi, HC (Yi, Hai-Cheng)[ 3 ]
收藏
  |  
浏览/下载:77/0
  |  
提交时间:2019/05/16
ncRNA-protein interaction
bi-gram
position specific scoring matrix
k-mers
deep learning
A High Efficient Biological Language Model for Predicting Protein-Protein Interactions
期刊论文
CELLS, 2019, 卷号: 8, 期号: 2, 页码: 1-12
作者:
Wang, YB (Wang, Yanbin)[ 1,2 ]
;
You, ZH (You, Zhu-Hong)[ 1 ]
;
Yang, S (Yang, Shan)[ 1,2 ]
;
Li, X (Li, Xiao)[ 1 ]
;
Jiang, TH (Jiang, Tong-Hai)[ 1 ]
收藏
  |  
浏览/下载:118/0
  |  
提交时间:2019/05/16
protein-protein interactions
bio-language processing
sentencepiece
convolution neural network
unigram language model
Extractive Summarization of Documents by Combining Semantic Content and Non-Structured Features
期刊论文
2018 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP), 2018, 期号: 7, 页码: 279-284
作者:
Yang,Shan
;
Yang, Yating
;
Mi, Chenggang
;
Pan,Yirong
;
Wang,Lei
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/03/20
Synthesis and QSAR studies on 1-[(5-substituted-1,3,4-thiadiazol-2-yl)methyl]-1H-1,2,4-triazole as antifungal agents
期刊论文
STRUCTURAL CHEMISTRY, 2009, 卷号: 20, 期号: 4, 页码: 569-576
作者:
Yu Guan-Ping
;
Bi Wen-Zhao
;
Si Guo-Dong
;
Yang Ya-Xun
;
Aisa Haji Akber
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2012/11/29
Antifungal
Triazole
Quantitative structure-activity relationship (QSAR)
Cross-validation
A quantitative structure-activity relationship study of antifungal analogues of 3,4-substituted 5-((1H-1, 2, 4-triazol-1-yl)methyl)-4H-1,2,4-triazole
期刊论文
STRUCTURAL CHEMISTRY, 2008, 卷号: 19, 期号: 6, 页码: 959-965
作者:
Xu, Liang-Zhong
;
Yu, Guan-Ping
;
Bi, Wen-Zhao
;
Aisa, Haji Akber
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2014/11/11
Antifungal
Triazole
Quantitative structure-activity relationship (QSAR)
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