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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