Các bài viết có thể truy cập công khai - Sean XieTìm hiểu thêm
Không có ở bất kỳ nơi nào: 11
Deep convolutional generative adversarial network (dcGAN) models for screening and design of small molecules targeting cannabinoid receptors
Y Bian, J Wang, JJ Jun, XQ Xie
Molecular pharmaceutics 16 (11), 4451-4460, 2019
Các cơ quan ủy nhiệm: US Department of Defense, US National Institutes of Health
Prediction of the binding affinities and selectivity for CB1 and CB2 ligands using homology modeling, molecular docking, molecular dynamics simulations, and MM-PBSA binding …
B Ji, S Liu, X He, VH Man, XQ Xie, J Wang
ACS Chemical Neuroscience 11 (8), 1139-1158, 2020
Các cơ quan ủy nhiệm: US National Institutes of Health
Biological activities and pharmacokinetics of aconitine, benzoylaconine, and aconine after oral administration in rats
H Zhang, S Sun, W Zhang, X Xie, Z Zhu, Y Chai, G Zhang
Drug Testing and Analysis 8 (8), 839-846, 2016
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
A mitophagy inhibitor targeting p62 attenuates the leukemia-initiation potential of acute myeloid leukemia cells
Y Li, Y Li, J Yin, C Wang, M Yang, J Gu, M He, H Xu, W Fu, W Zhang, Y Ru, ...
Cancer Letters 510, 24-36, 2021
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Fragment-similarity-based QSAR (FS-QSAR) algorithm for ligand biological activity predictions
KZ Myint, C Ma, L Wang, XQ Xie
SAR and QSAR in Environmental Research 22 (3-4), 385-410, 2011
Các cơ quan ủy nhiệm: US National Institutes of Health
In silico design novel vibsanin B derivatives as inhibitor for heat shock protein 90 based on 3D-QSAR, molecular docking and molecular dynamics simulation
Q He, H Chu, Y Wang, H Guo, Y Wang, S Wang, Z Feng, XQ Xie, Y Hu, ...
Journal of Biomolecular Structure and Dynamics 38 (14), 4313-4324, 2020
Các cơ quan ủy nhiệm: US National Institutes of Health, National Natural Science Foundation of China
Introducing virtual oligomerization inhibition to identify potent inhibitors of Aβ oligomerization
VH Man, X He, B Ji, S Liu, XQ Xie, J Wang
Journal of Chemical Theory and Computation 16 (6), 3920-3935, 2020
Các cơ quan ủy nhiệm: US National Institutes of Health
Linear and Nonlinear Support Vector Machine for the Classification of Human 5‐HT1A Ligand Functionality
L Wang, C Ma, P Wipf, XQ Xie
Molecular Informatics 31 (1), 85-95, 2012
Các cơ quan ủy nhiệm: US National Institutes of Health
New QSAR prediction models derived from GPCR CB2-antagonistic triaryl bis-sulfone analogues by a combined molecular morphological and pharmacophoric approach
JZ Chen, KZ Myint, XQ Xie
SAR and QSAR in Environmental Research 22 (5-6), 525-544, 2011
Các cơ quan ủy nhiệm: US National Institutes of Health
Binding Characterization of Agonists and Antagonists by MCCS: A Case Study from Adenosine A2A Receptor
J Cheng, M Chen, S Wang, T Liang, H Chen, CJ Chen, Z Feng, XQ Xie
ACS Chemical Neuroscience 12 (9), 1606-1620, 2021
Các cơ quan ủy nhiệm: US National Institutes of Health
In silico chemogenomics knowledgebase and computational system neuropharmacology approach for cannabinoid drug research
XQ Xie, L Wang, J Wang, Z Xie, P Yang, Q Ouyang
Neuropathology of Drug Addictions and Substance Misuse, 183-195, 2016
Các cơ quan ủy nhiệm: US National Institutes of Health
Có tại một số nơi: 118
Beta-caryophyllene is a dietary cannabinoid
J Gertsch, M Leonti, S Raduner, I Racz, JZ Chen, XQ Xie, KH Altmann, ...
Proceedings of the National Academy of Sciences 105 (26), 9099-9104, 2008
Các cơ quan ủy nhiệm: German Research Foundation
Deep learning for drug design: an artificial intelligence paradigm for drug discovery in the big data era
Y Jing, Y Bian, Z Hu, L Wang, XQS Xie
The AAPS journal 20, 1-10, 2018
Các cơ quan ủy nhiệm: US Department of Defense, US National Institutes of Health
AlzPlatform: an Alzheimer’s disease domain-specific chemogenomics knowledgebase for polypharmacology and target identification research
H Liu, L Wang, M Lv, R Pei, P Li, Z Pei, Y Wang, W Su, XQ Xie
Journal of chemical information and modeling 54 (4), 1050-1060, 2014
Các cơ quan ủy nhiệm: US National Institutes of Health
TargetHunter: An In Silico Target Identification Tool for Predicting Therapeutic Potential of Small Organic Molecules Based on Chemogenomic Database
L Wang, C Ma, P Wipf, H Liu, W Su, XQ Xie
The AAPS journal 15, 395-406, 2013
Các cơ quan ủy nhiệm: US National Institutes of Health
p62/SQSTM1/Sequestosome-1 is an N-recognin of the N-end rule pathway which modulates autophagosome biogenesis
H Cha-Molstad, JE Yu, Z Feng, SH Lee, JG Kim, P Yang, B Han, KW Sung, ...
Nature communications 8 (1), 102, 2017
Các cơ quan ủy nhiệm: US National Institutes of Health
Recent advances in fragment-based QSAR and multi-dimensional QSAR methods
KZ Myint, XQ Xie
International journal of molecular sciences 11 (10), 3846-3866, 2010
Các cơ quan ủy nhiệm: US National Institutes of Health
SQSTM1/p62: a potential target for neurodegenerative disease
S Ma, IY Attarwala, XQ Xie
ACS chemical neuroscience 10 (5), 2094-2114, 2019
Các cơ quan ủy nhiệm: US Department of Defense, US National Institutes of Health
Molecular fingerprint-based artificial neural networks QSAR for ligand biological activity predictions
KZ Myint, L Wang, Q Tong, XQ Xie
Molecular pharmaceutics 9 (10), 2912-2923, 2012
Các cơ quan ủy nhiệm: US National Institutes of Health, Howard Hughes Medical Institute
Generative chemistry: drug discovery with deep learning generative models
Y Bian, XQ Xie
Journal of Molecular Modeling 27, 1-18, 2021
Các cơ quan ủy nhiệm: US Department of Defense, US National Institutes of Health
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