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
上海药物研究所 [7]
天津工业生物技术研究... [4]
生态环境研究中心 [3]
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期刊论文 [32]
会议论文 [2]
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浏览/检索结果:
共34条,第1-10条
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The extracts of Lobaria pindarensis, an edible lichen from Himalayas, suppress inflammatory response and fibrillation of amyloid β-protein in cultured microglial cells: Active depsidones, norstictic acid and stictic acid, are responsible for the functions
期刊论文
OAI收割
JOURNAL OF FUNCTIONAL FOODS, 2023, 卷号: 107, 页码: 105607
作者:
Yang,Mei-Xia
;
Cheng,Edwin Hok-Chi
;
Ospondpant,Dusadee
;
Tung,Ka-Ki
;
Wang,Li-Song
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收藏
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浏览/下载:5/0
  |  
提交时间:2024/07/25
Alzheimer's disease
Inflammation
Fibrillar A beta
Lichen
Lobaria pindarensis
Depsidone
IN-SILICO
IDENTIFICATION
INHIBITORS
High-throughput prediction and characterization of antimicrobial peptides from multi-omics datasets of Chinese tubular cone snail (Conus betulinus)
期刊论文
OAI收割
FRONTIERS IN MARINE SCIENCE, 2022, 卷号: 9, 页码: 13
作者:
Li, Ruihan
;
Huang, Yu
;
Peng, Chao
;
Gao, Zijian
;
Liu, Jie
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收藏
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浏览/下载:10/0
  |  
提交时间:2023/12/13
Conus betulinus
antimicrobial peptide
multi-omics
in silico prediction
in vitro assessment
Natural products for infectious microbes and diseases: an overview of sources, compounds, and chemical diversities
期刊论文
OAI收割
SCIENCE CHINA-LIFE SCIENCES, 2022, 卷号: 65, 期号: 6, 页码: 1123-1145
作者:
Luo, Lu
;
Yang, Jun
;
Wang, Cheng
;
Wu, Jie
;
Li, Yafang
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收藏
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浏览/下载:22/0
  |  
提交时间:2024/03/07
natural product
infectious pathogen
drug discovery
drug development
in silico analysis
TANK-binding kinase 1 (TBK1): An emerging therapeutic target for drug discovery
期刊论文
OAI收割
DRUG DISCOVERY TODAY, 2021, 卷号: 26, 期号: 10, 页码: 2445-2455
作者:
Xiang, Shuang
;
Song, Shukai
;
Tang, Haotian
;
Smaill, Jeff B.
;
Wang, Aiqun
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收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/12/01
Antibiotic resistance
Computational biology
Databases
In silico tools
Bioassay- and QSAR-based screening of toxic transformation products and their formation under chlorination treatment on levofloxacin
期刊论文
OAI收割
JOURNAL OF HAZARDOUS MATERIALS, 2021, 卷号: 414, 页码: -
作者:
Chen, Miao
;
Wei, Dongbin
;
Wang, Feipeng
;
Yin, Junxia
;
Li, Min
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/12/22
Quinolone
Chlorine disinfection
In silico method
Antibiotic activity
Genotoxicity
In silico health effect prioritization of environmental chemicals through transcriptomics data exploration from a chemo-centric view
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 762, 页码: -
作者:
Liu, Xian
;
Zhang, Huazhou
;
Xue, Qiao
;
Pan, Wenxiao
;
Zhang, Aiqian
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收藏
  |  
浏览/下载:13/0
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提交时间:2021/12/22
Computational toxicology
Environmental chemicals
Health effects prioritization
In silico model
Transcriptomics
A comprehensive and comparative evaluation of primers for metabarcoding eDNA from fish
期刊论文
OAI收割
METHODS IN ECOLOGY AND EVOLUTION, 2020, 页码: 17
作者:
Zhang, Shan
;
Zhao, Jindong
;
Yao, Meng
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收藏
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浏览/下载:70/0
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提交时间:2020/12/01
biomonitoring
DNA metabarcoding
environmental DNA
fish barcode
freshwater biodiversity
in silico PCR
primers
Design, synthesis, and biological evaluation of tetrahydroquinolin derivatives as potent inhibitors of CBP bromodomain
期刊论文
OAI收割
BIOORGANIC CHEMISTRY, 2020, 卷号: 101, 页码: 11
作者:
Chen, Yu
;
Bi, Xiaoyang
;
Zhang, Fengcai
;
Sun, Zhongya
;
Xu, Pan
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收藏
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浏览/下载:39/0
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提交时间:2020/12/24
In silico screening
Drug design
CBP
Bromodomain
Inhibitor
Acute Myeloblastic Leukemia
Caffeic Acid Phenethyl Ester Effects: In Silico Study of its Osteoimmunological Mechanisms
期刊论文
OAI收割
LETTERS IN DRUG DESIGN & DISCOVERY, 2020, 卷号: 17, 期号: 5, 页码: 556-562
作者:
Zhao, Yuhao
;
Pang, Xiaokun
;
Nepal, Akriti
;
Jiang, Xincan
;
Xu, Xiaoxin
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收藏
  |  
浏览/下载:31/0
  |  
提交时间:2020/06/22
Drug target
drug-protein interaction
in silico prediction
osteoimmunological
PASS prediction
CAPE
DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening
期刊论文
OAI收割
GENOMICS PROTEOMICS & BIOINFORMATICS, 2019, 卷号: 17, 期号: 5, 页码: 478-495
作者:
Wan, Fangping
;
Zhu, Yue
;
Hu, Hailin
;
Dai, Antao
;
Cai, Xiaoqing
  |  
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2020/07/01
Deep learning
Machine learning
Drug discovery
In silico drug screening
Compound-protein interaction prediction