中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [3]
数学与系统科学研究院 [2]
上海药物研究所 [2]
上海营养与健康研究所 [2]
计算技术研究所 [1]
新疆理化技术研究所 [1]
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采集方式
OAI收割 [17]
内容类型
期刊论文 [15]
SCI/SSCI论文 [2]
发表日期
2024 [1]
2022 [2]
2021 [2]
2020 [3]
2019 [1]
2017 [1]
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学科主题
Chemistry [2]
Pharmacolo... [2]
Biochemist... [1]
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共17条,第1-10条
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Learning Sequential and Structural Dependencies Between Nucleotides for RNA N6-Methyla-denosine Site Identification
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 10, 页码: 2123-2134
作者:
Guodong Li
;
Bowei Zhao
;
Xiaorui Su
;
Dongxu Li
;
Yue Yang
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/09/03
Cross-domain reconstruction
cross-species prediction
N6-methyladenosine (m6A) modification site
RNA sequence
sequential and structural dependencies
Using big data searching and machine learning to predict human health risk probability from pesticide site soils in China
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 卷号: 320, 页码: 9
作者:
Wang, Xin
;
Yu, Dongsheng
;
Ma, Lixia
;
Lu, Xiaosong
;
Song, Jie
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2022/12/20
Pesticide site
Human health risk
Risk probability prediction
Semi -supervised learning model
Label propagation algorithm
TransPhos: A Deep-Learning Model for General Phosphorylation Site Prediction Based on Transformer-Encoder Architecture
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 卷号: 23, 期号: 8, 页码: 17
作者:
Wang, Xun
;
Zhang, Zhiyuan
;
Zhang, Chaogang
;
Meng, Xiangyu
;
Shi, Xin
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2022/12/07
phosphorylation site prediction
transformer
post-translational modifications
Enhancing photocatalytic performance by direct photo-excited electron transfer from organic pollutants to low-polymerized graphitic carbon nitride with more C-NH/NH2 exposure
期刊论文
OAI收割
APPLIED CATALYSIS B-ENVIRONMENTAL, 2021, 卷号: 291, 页码: -
作者:
Li, Fan
;
Li, Tong
;
Zhang, Lili
;
Jin, Yang
;
Hu, Chun
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2022/01/04
Nitrogen-functionalized biochar
Cr(VI) removal
Protonation energy
Protonation site prediction
Adsorption energy
Predicting HIV-1 Protease Cleavage Sites With Positive-Unlabeled Learning
期刊论文
OAI收割
FRONTIERS IN GENETICS, 2021, 卷号: 12, 期号: 3, 页码: 1-11
作者:
Li, ZF (Li, Zhenfeng)[ 1 ]
;
Hu, L (Hu, Lun)[ 2 ]
;
Tang, ZH (Tang, Zehai)[ 1 ]
;
Zhao, C (Zhao, Cheng)[ 1 ]
  |  
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2021/05/06
HIV-1 protease
cleavage site prediction
positive-unlabeled learning
biased SVM
substrate specificity
Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites
期刊论文
OAI收割
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 6, 页码: 2017-2028
作者:
Hu, Lun
;
Hu, Pengwei
;
Luo, Xin
;
Yuan, Xiaohui
;
You, Zhu-Hong
  |  
收藏
  |  
浏览/下载:104/0
  |  
提交时间:2021/03/01
HIV-1 protease
substrate specificity
coevolving information
cleavage site prediction
D3Targets-2019-nCoV: a webserver for predicting drug targets and for multi-target and multi-site based virtual screening against COVID-19
期刊论文
OAI收割
ACTA PHARMACEUTICA SINICA B, 2020, 卷号: 10, 期号: 7, 页码: 1239-1248
作者:
Shi, Yulong
;
Zhang, Xinben
;
Mu, Kaijie
;
Peng, Cheng
;
Zhu, Zhengdan
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2020/12/24
COVID-19
SARS-CoV-2
Target prediction
Multi-conformation
Multi-site
Docking
D3Targets-2019-nCoV
Probe Efficient Feature Representation of Gapped K-mer Frequency Vectors from Sequences Using Deep Neural Networks
期刊论文
OAI收割
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 2, 页码: 657-667
作者:
Cao, Zhen
;
Zhang, Shihua
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/05/24
DNA
Bioinformatics
Kernel
Feature extraction
Support vector machines
Genomics
Task analysis
Bioinformatics
machine learning
gapped k-mer
deep neural network
transcription factor binding site prediction
Identification of the Raf kinase inhibitor TAK-632 and its analogues as potent inhibitors of necroptosis by targeting RIPK1 and RIPK3
期刊论文
OAI收割
BRITISH JOURNAL OF PHARMACOLOGY, 2019, 卷号: 176, 期号: 12, 页码: 2095-2108
作者:
Chen, Xiaofei
;
Ren, Yibin
;
Qin, Xia
;
Hu, Longmiao
;
Fu, Jing
  |  
收藏
  |  
浏览/下载:69/0
  |  
提交时间:2020/12/09
Post-translational modification
myristoylation site prediction
modified glycine residue
extreme learning machine
minimum redundancy maximum relevance
incremental feature selection
Analysis and Prediction of Myristoylation Sites Using the mRMR Method, the IFS Method and an Extreme Learning Machine Algorithm
期刊论文
OAI收割
COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2017, 卷号: 20, 期号: 2, 页码: 96-106
作者:
Wang, ShaoPeng
;
Cai, Yu-Dong
;
Zhang, Yu-Hang
;
Huang, GuoHua
;
Chen, Lei
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2020/12/09
Post-translational modification
myristoylation site prediction
modified glycine residue
extreme learning machine
minimum redundancy maximum relevance
incremental feature selection