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How can machine learning and multiscale modeling benefit ocular drug development? Review article
2023
Authors:  Wang, Nannan;  Zhang, Yunsen;  Wang, Wei;  Ye, Zhuyifan;  Chen, Hongyu; et al.
Favorite | TC[WOS]:9 TC[Scopus]:16  IF:15.2/17.6 | Submit date：2023/06/05
Computational Pharmaceutics  In Silico modelIng & Simulation  Machine Learning  Mathematical Modeling  Molecular Modeling  Ocular Drug Development  Pharmacokinetic/pharmacodynamic Modeling  
Pharmacological review of isobavachalcone, a naturally occurring chalcone Journal article
Wang,Miaojuan, Lin,Ligen, Lu,Jin Jian, Chen,Xiuping. Pharmacological review of isobavachalcone, a naturally occurring chalcone[J]. Pharmacological Research, 2021, 165(105483).
Authors:  Wang,Miaojuan;  Lin,Ligen;  Lu,Jin Jian;  Chen,Xiuping
Favorite | TC[WOS]:43 TC[Scopus]:45  IF:9.1/9.0 | Submit date：2021/03/01
Isobavachalcone  Pharmacology  Pharmacokinetic  Molecular Targets  
An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design Journal article
Gao,Hanlu, Wang,Wei, Dong,Jie, Ye,Zhuyifan, Ouyang,Defang. An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design[J]. European Journal of Pharmaceutics and Biopharmaceutics, 2021, 158, 336-346.
Authors:  Gao,Hanlu;  Wang,Wei;  Dong,Jie;  Ye,Zhuyifan;  Ouyang,Defang
Favorite | TC[WOS]:35 TC[Scopus]:46  IF:4.4/4.8 | Submit date：2021/03/02
Dissolution Profile  Machine Learning  Molecular Dynamics (Md) Simulations  Pharmacokinetic Modeling  Solid Dispersion  
A pharmacological review of dicoumarol: An old natural anticoagulant agent Journal article
Chong Sun, Wenwen Zhao, Xumei Wang, Yinxiang Sun, Xiuping Chen. A pharmacological review of dicoumarol: An old natural anticoagulant agent[J]. PHARMACOLOGICAL RESEARCH, 2020, 160, 105193.
Authors:  Chong Sun;  Wenwen Zhao;  Xumei Wang;  Yinxiang Sun;  Xiuping Chen
Favorite | TC[WOS]:38 TC[Scopus]:50  IF:9.1/9.0 | Submit date：2021/03/01
Bioactivity  Dicoumarol  Pharmacokinetic  Side Effects  
An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction Journal article
Ye Z., Yang Y., Li X., Cao D., Ouyang D.. An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction[J]. Molecular Pharmaceutics, 2019, 16(2), 533-541.
Authors:  Ye Z.;  Yang Y.;  Li X.;  Cao D.;  Ouyang D.
Favorite | TC[WOS]:57 TC[Scopus]:69  IF:4.5/4.6 | Submit date：2019/02/14
Adme  Deep Learning  Multitask Learning  Pharmacokinetic Parameters  Transfer Learning  
Pharmacoinformatic approach to explore the antidote potential of phytochemicals on bungarotoxin from Indian krait, Bangarus caeruleus Journal article
Rajendran, B. K., Suresh, M. X., Bhaskaran, S. P., Harshitha, Y., Gaur, U., Kwok, H. F.. Pharmacoinformatic approach to explore the antidote potential of phytochemicals on bungarotoxin from Indian krait, Bangarus caeruleus[J]. Computational and Structural Biotechnology Journal, 2018, 450-461.
Authors:  Rajendran, B. K.;  Suresh, M. X.;  Bhaskaran, S. P.;  Harshitha, Y.;  Gaur, U.; et al.
Favorite |   IF:4.4/5.0 | Submit date：2022/06/02
toxins  bungarotoxin  molecular docking  pharmacokinetic profiling  drug design  molecular dynamics  
Evidence and prospective of plant derived flavonoids as antiplatelet agents: Strong candidates to be drugs of future Conference paper
Khan, Harron, Jawad, Mohammad, Kamal, Mohammad Amjad, Baldi, Alessandra, Xiao, Jianbo, Nabavi, Seyed Mohammad, Daglia, Maria. Evidence and prospective of plant derived flavonoids as antiplatelet agents: Strong candidates to be drugs of future[C], THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND:PERGAMON-ELSEVIER SCIENCE LTD, 2018, 355-367.
Authors:  Khan, Harron;  Jawad, Mohammad;  Kamal, Mohammad Amjad;  Baldi, Alessandra;  Xiao, Jianbo; et al.
Favorite | TC[WOS]:67 TC[Scopus]:77 | Submit date：2018/10/30
Antiplatelet  Preclinical Studies  Structure-activity Relationship (Sar) Studies  Pharmacokinetic Parameters  Safety Profile  
Evidence and prospective of plant derived flavonoids as antiplatelet agents: Strong candidates to be drugs of future Journal article
Khan H., Jawad M., Kamal M.A., Baldi A., Xiao J., Nabavi S.M., Daglia M.. Evidence and prospective of plant derived flavonoids as antiplatelet agents: Strong candidates to be drugs of future[J]. Food and Chemical Toxicology, 2018, 119, 355-367.
Authors:  Khan H.;  Jawad M.;  Kamal M.A.;  Baldi A.;  Xiao J.; et al.
Favorite | TC[WOS]:67 TC[Scopus]:77 | Submit date：2019/01/15
Antiplatelet  Pharmacokinetic Parameters  Preclinical Studies  Safety Profile  Structure-activity Relationship (Sar) Studies  
Pharmacokinetics of Chinese medicines: strategies and perspectives Journal article
Yan, Ru, Yang, Ying, Chen, Yijia. Pharmacokinetics of Chinese medicines: strategies and perspectives[J]. CHINESE MEDICINE, 2018, 13.
Authors:  Yan, Ru;  Yang, Ying;  Chen, Yijia
Favorite | TC[WOS]:33 TC[Scopus]:43  IF:5.3/5.5 | Submit date：2018/10/30
Chinese Medicines  Pharmacokinetic Strategy  Pharmacokinetics-pharmacodynamics Relevance  Gut Microbiota  Global Pharmacokinetics-pharmacodynamics  
The impact of dss-induced colitis and ginseng intervention on pharmacokinetics of cyclosporine a in rats Conference proceedings
Authors:  Yang, Ying;  Hu, Nan;  Gao, Xuejiao;  Yan, Zhixiang;  Wang, Panpan; et al.
Favorite |  | Submit date：2022/08/15
Pharmacokinetic Interactions  Experimental Colitis  Ginseng  Cyclosporine a  P-glycoprotein  Intestinal Cyp3a