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Identification of Tyrosinase Inhibitory Peptides from Sea Cucumber (Apos-tichopus japonicus) Collagen by in silico Methods and Study of their Molec¬ular Mechanism
Journal article
Chen, Hui, Yao, Yourong, Xie, Tingyu, Guo, Honghui, Chen, Sijin, Zhang, Yiping, Hong, Zhuan. Identification of Tyrosinase Inhibitory Peptides from Sea Cucumber (Apos-tichopus japonicus) Collagen by in silico Methods and Study of their Molec¬ular Mechanism[J]. Current Protein and Peptide Science, 2023, 24(9), 758-766.
Authors:
Chen, Hui
;
Yao, Yourong
;
Xie, Tingyu
;
Guo, Honghui
;
Chen, Sijin
; et al.
Favorite
|
TC[WOS]:
3
TC[Scopus]:
2
IF:
1.9
/
3.0
|
Submit date:2024/02/22
Admet
Identification
In Silico Methods
Molecular Docking
Sea Cucumber
Tyrosinase Inhibitory Peptide
Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network
Journal article
Chen, Jiarui, Si, Yain Whar, Un, Chon Wai, Siu, Shirley W.I.. Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network[J]. Journal of Cheminformatics, 2021, 13(1).
Authors:
Chen, Jiarui
;
Si, Yain Whar
;
Un, Chon Wai
;
Siu, Shirley W.I.
Favorite
|
TC[WOS]:
31
TC[Scopus]:
41
IF:
7.1
/
9.3
|
Submit date:2021/12/08
Admet
Chemical Toxicity
Deep Learning
Graph Convolutional Neural Network
Mean Teacher
Semi-supervised Learning
Tox21
ADMETlab: a platform for systematic ADMET evaluation based on a comprehensively collected ADMET database
Journal article
Dong, Jie, Wang, Ning-Ning, Yao, Zhi-Jiang, Zhang, Lin, Cheng, Yan, Ouyang, Defang, Lu, Ai-Ping, Cao, Dong-Sheng. ADMETlab: a platform for systematic ADMET evaluation based on a comprehensively collected ADMET database[J]. JOURNAL OF CHEMINFORMATICS, 2018, 10.
Authors:
Dong, Jie
;
Wang, Ning-Ning
;
Yao, Zhi-Jiang
;
Zhang, Lin
;
Cheng, Yan
; et al.
Favorite
|
TC[WOS]:
280
TC[Scopus]:
560
IF:
7.1
/
9.3
|
Submit date:2018/10/30
Admetlab
Admet
Drug-likeness
Admet Database
Drug Discovery
Cheminformatics