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An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction Journal article
Molecular Pharmaceutics, 2019,Volume: 16,Issue: 2,Page: 533-541
Authors:  Ye Z.;  Yang Y.;  Li X.;  Cao D.;  Ouyang D.
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ADME  deep learning  multitask learning  pharmacokinetic parameters  transfer learning  
Deep learning for in vitro prediction of pharmaceutical formulations Journal article
Acta Pharmaceutica Sinica B, 2019,Volume: 9,Issue: 1,Page: 177-185
Authors:  Yang Y.;  Ye Z.;  Su Y.;  Zhao Q.;  Li X.;  Ouyang D.
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Automatic dataset selection algorithm  Deep learning  Oral fast disintegrating films  Oral sustained release matrix tablets  Pharmaceutical formulation  Small data  
Elevated expression of serum amyloid A 3 protects colon epithelium against acute injury through TLR2-dependent induction of neutrophil IL-22 expression in a mouse model of colitis Journal article
Frontiers in Immunology, 2018,Volume: 9,Issue: JUN
Authors:  Zhang G.;  Liu J.;  Wu L.;  Fan Y.;  Sun L.;  Qian F.;  Chen D.;  Ye R.D.
Favorite  |  View/Download:3/0  |  Submit date:2018/11/07
Colitis  Cytokines  Inflammation  Innate immunity  Neutrophils  Serum amyloid A  
THE CONCISE GUIDE TO PHARMACOLOGY 2017/18: Overview Journal article
British Journal of Pharmacology, 2017,Volume: 174,Page: S1-S16
Authors:  Alexander S.P.H.;  Kelly E.;  Marrion N.V.;  Peters J.A.;  Faccenda E.;  Harding S.D.;  Pawson A.J.;  Sharman J.L.;  Southan C.;  Buneman O.P.;  Cidlowski J.A.;  Christopoulos A.;  Davenport A.P.;  Fabbro D.;  Spedding M.;  Striessnig J.;  Davies J.A.;  Abbracchio M.-P.;  Aldrich R.;  Al-Hosaini K.;  Arumugam T.V.;  Attali B.;  Back M.;  Barnes N.M.;  Bathgate R.;  Beart P.M.;  Becirovic E.;  Bettler B.;  Biel M.;  Birdsall N.J.;  Blaho V.;  Boison D.;  Brauner-osborne H.;  Broer S.;  Bryant C.;  Burnstock G.;  Calo G.;  Catterall W.A.;  Ceruti S.;  Chan S.L.;  Chandy K.G.;  Chazot P.;  Chiang N.;  Chun J.J.;  Chung J.-J.;  Clapham D.E.;  Clapp L.;  Connor M.A.;  Cox H.M.;  Davies P.;  Dawson P.A.;  Decaen P.;  Dent G.;  Doherty P.;  Douglas S.D.;  Dubocovich M.L.;  Fong T.M.;  Fowler C.J.;  Frantz A.;  Fuller P.;  Fumagalli M.;  Futerman A.H.;  Gainetdinov R.R.;  Gershengorn M.A.;  Goldin A.;  Goldstein S.A.N.;  Goudet C.;  Gregory K.;  Grissmer S.;  Gundlach A.L.;  Hagenbuch B.;  Hamann J.;  Hammond J.R.;  Hancox J.C.;  Hanson J.;  Hanukoglu I.;  Hay D.L.;  Hobbs A.J.;  Hollenberg A.N.;  Holliday N.D.;  Hoyer D.;  Ijzerman A.P.;  Inui K.I.;  Irving A.J.;  Ishii S.;  Jacobson K.A.;  Jan L.Y.;  Jarvis M.F.;  Jensen R.;  Jockers R.;  Kaczmarek L.K.;  Kanai Y.;  Karnik S.;  Kellenberger S.;  Kemp S.;  Kennedy C.;  Kerr I.D.;  Kihara Y.;  Kukkonen J.;  Larhammar D.;  Leach K.;  Lecca D.;  Leeman S.;  Leprince J.;  Lolait S.J.;  Macewan D.;  Maguire J.J.;  Marshall F.;  Mazella J.;  Mcardle C.A.;  Michel M.C.;  Miller L.J.;  Mitolo V.;  Mizuno H.;  Monk P.N.;  Mouillac B.;  Murphy P.M.;  Nahon J.-L.;  Nerbonne J.;  Nichols C.G.;  Norel X.;  Offermanns S.;  Palmer L.G.;  Panaro M.A.;  Papapetropoulos A.;  Perez-reyes E.;  Pertwee R.G.;  Pintor S.;  Pisegna J.R.;  Plant L.D.;  Poyner D.R.;  Prossnitz E.R.;  Pyne S.;  Ramachandran R.;  Ren D.;  Rondard P.;  Ruzza C.;  Sackin H.;  Sanger G.;  Sanguinetti M.C.;  Schild L.;  Schioth H.;  Schulte G.;  Schulz S.;  Segaloff D.L.;  Serhan C.N.;  Singh K.D.;  Slesinger P.A.;  Snutch T.P.;  Sobey C.G.;  Stewart G.;  Stoddart L.A.;  Summers R.J.;  Szabo C.;  Thwaites D.;  Toll L.;  Trimmer J.S.;  Tucker S.;  Vaudry H.;  Verri T.;  Vilargada J.-P.;  Waldman S.A.;  Ward D.T.;  Waxman S.G.;  Wei A.D.;  Willars G.B.;  Wong S.S.;  Woodruff T.M.;  Wulff H.;  Ye R.D.;  Yung Y.;  Zajac J.-M.
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4’-Hydroxywogonin suppresses lipopolysaccharide-induced inflammatory responses in RAW 264.7 macrophages and acute lung injury mice Journal article
PLoS ONE, 2017,Volume: 12,Issue: 8
Authors:  Fan C.;  Wu L.-H.;  Zhang G.-F.;  Xu F.;  Zhang S.;  Zhang X.;  Sun L.;  Yu Y.;  Zhang Y.;  Ye R.D.
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A four-band TD-LTE transmitter with wide dynamic range and LPF bandwidth calibration Conference paper
2017 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2017
Authors:  Liang Z.;  Li B.;  Huang M.;  Ye H.;  Xu K.;  Liu Y.;  Lu Y.
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bandwidth calibration  TD-LTE  Transmitter  Wide dynamic gain range  
A digital IQ imbalance self-calibration in FDD transceiver Conference paper
2017 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2017
Authors:  Ye H.;  Li B.;  Huang M.;  Liang Z.;  Lu Y.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/14
FDD  IQ imbalance  self-calibration  transceiver  
AKT2 regulates pulmonary inflammation and fibrosis via modulating macrophage activation Journal article
Journal of Immunology, 2017,Volume: 198,Issue: 11,Page: 4470-4480
Authors:  Nie Y.;  Sun L.;  Wu Y.;  Yang Y.;  Wang J.;  He H.;  Hu Y.;  Chang Y.;  Liang Q.;  Zhu J.;  Ye R.D.;  Christman J.W.;  Qian F.
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Cucurbitane Glucosides from the Crude Extract of Siraitia grosvenorii with Moderate Effects on PGC-1α Promoter Activity Journal article
Journal of Natural Products, 2017,Volume: 80,Issue: 5,Page: 1428-1435
Authors:  Niu B.;  Ke C.-Q.;  Li B.-H.;  Li Y.;  Yi Y.;  Luo Y.;  Shuai L.;  Yao S.;  Lin L.-G.;  Li J.;  Ye Y.
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New biphenantherene and nervogenic acid derivatives from Liparis regnieri Finet and their inhibitory activities against NF-κB activation Journal article
Tetrahedron, 2017,Volume: 73,Issue: 12,Page: 1611-1617
Authors:  Ren J.;  Fan C.;  Guo Y.-G.;  Yan S.-K.;  Ye R.D.;  Zhang Y.;  Jin H.-Z.;  Zhang W.-D.
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Biphenantherene  Liparis regnieri Finet  Nervogenic acid derivative  NF-κB  Orchidaceae  Phenanthrene