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Jianfeng Pei
Jianfeng Pei
Verified email at pku.edu.cn
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Year
PharmMapper 2017 update: a web server for potential drug target identification with a comprehensive target pharmacophore database
X Wang, Y Shen, S Wang, S Li, W Zhang, X Liu, L Lai, J Pei, H Li
Nucleic acids research 45 (W1), W356-W360, 2017
8722017
Sequence-based prediction of protein protein interaction using a deep-learning algorithm
T Sun, B Zhou, L Lai, J Pei
BMC bioinformatics 18, 1-8, 2017
3692017
Biosynthesis, purification, and substrate specificity of severe acute respiratory syndrome coronavirus 3C-like proteinase
K Fan, P Wei, Q Feng, S Chen, C Huang, L Ma, B Lai, J Pei, Y Liu, J Chen, ...
Journal of Biological Chemistry 279 (3), 1637-1642, 2004
3672004
Deep learning for drug-induced liver injury
Y Xu, Z Dai, F Chen, S Gao, J Pei, L Lai
Journal of chemical information and modeling 55 (10), 2085-2093, 2015
3272015
CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction
Y Xu, S Wang, Q Hu, S Gao, X Ma, W Zhang, Y Shen, F Chen, L Lai, J Pei
Nucleic acids research 46 (W1), W374-W379, 2018
2472018
Transfer learning for drug discovery
C Cai, S Wang, Y Xu, W Zhang, K Tang, Q Ouyang, L Lai, J Pei
Journal of Medicinal Chemistry 63 (16), 8683-8694, 2020
2322020
Deep learning based regression and multiclass models for acute oral toxicity prediction with automatic chemical feature extraction
Y Xu, J Pei, L Lai
Journal of chemical information and modeling 57 (11), 2672-2685, 2017
2152017
LigBuilder 2: A Practical de Novo Drug Design Approach
Y Yuan, J Pei, L Lai
Journal of chemical information and modeling 51 (5), 1083-1091, 2011
2122011
Binding site detection and druggability prediction of protein targets for structure-based drug design
Y Yuan, J Pei, L Lai
Current pharmaceutical design 19 (12), 2326-2333, 2013
1862013
Computational multitarget drug design
W Zhang, J Pei, L Lai
Journal of chemical information and modeling 57 (3), 403-412, 2017
1772017
Synergistic and antagonistic drug combinations depend on network topology
N Yin, W Ma, J Pei, Q Ouyang, C Tang, L Lai
PloS one 9 (4), e93960, 2014
1662014
Isatin compounds as noncovalent SARS coronavirus 3C-like protease inhibitors
L Zhou, Y Liu, W Zhang, P Wei, C Huang, J Pei, Y Yuan, L Lai
Journal of Medicinal Chemistry 49 (12), 3440-3443, 2006
1642006
Discovery of multitarget inhibitors by combining molecular docking with common pharmacophore matching
D Wei, X Jiang, L Zhou, J Chen, Z Chen, C He, K Yang, Y Liu, J Pei, L Lai
Journal of medicinal chemistry 51 (24), 7882-7888, 2008
1542008
Automatic retrosynthetic route planning using template-free models
K Lin, Y Xu, J Pei, L Lai
Chemical science 11 (12), 3355-3364, 2020
1532020
Structure-based de novo drug design using 3D deep generative models
Y Li, J Pei, L Lai
Chemical science 12 (41), 13664-13675, 2021
1272021
H2A. Z facilitates licensing and activation of early replication origins
H Long, L Zhang, M Lv, Z Wen, W Zhang, X Chen, P Zhang, T Li, L Chang, ...
Nature 577 (7791), 576-581, 2020
1182020
Discovering potent small molecule inhibitors of cyclophilin A using de novo drug design approach
S Ni, Y Yuan, J Huang, X Mao, M Lv, J Zhu, X Shen, J Pei, L Lai, H Jiang, ...
Journal of medicinal chemistry 52 (17), 5295-5298, 2009
1182009
Deep learning for molecular generation
Y Xu, K Lin, S Wang, L Wang, C Cai, C Song, L Lai, J Pei
Future medicinal chemistry 11 (6), 567-597, 2019
1142019
Prediction of human cytochrome P450 inhibition using a multitask deep autoencoder neural network
X Li, Y Xu, L Lai, J Pei
Molecular pharmaceutics 15 (10), 4336-4345, 2018
1042018
Systems biology brings new dimensions for structure-based drug design
J Pei, N Yin, X Ma, L Lai
Journal of the American Chemical Society 136 (33), 11556-11565, 2014
932014
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Articles 1–20