UM

Browse/Search Results:  1-3 of 3 Help

Selected(0)Clear Items/Page:    Sort:
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  
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