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A deep learning framework for accurate reaction prediction and its application on high-throughput experimentation data.

B. Li, S. Su, C. Zhu, J. Lin, X. Hu, L. Su, Z. Yu, K. Liao, and H. Chen. J. Cheminformatics, 15 (1): 72 (December 2023)

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Hongming Ren

Chen Chen

Shih Chen Chen

Yi-Chen Chen

Other publications of authors with the same name

REINVENT 2.0: An AI Tool for De Novo Drug Design.T. Blaschke, J. Arús-Pous, H. Chen, C. Margreitter, C. Tyrchan, O. Engkvist, K. Papadopoulos, and A. Patronov. J. Chem. Inf. Model., 60 (12): 5918-5922 (2020)Accelerated rational PROTAC design via deep learning and molecular simulations.S. Zheng, Y. Tan, Z. Wang, C. Li, Z. Zhang, X. Sang, H. Chen, and Y. Yang. Nat. Mac. Intell., 4 (9): 739-748 (September 2022)Molecular de-novo design through deep reinforcement learning.M. Olivecrona, T. Blaschke, O. Engkvist, and H. Chen. J. Cheminformatics, 9 (1): 48:1-48:14 (2017)Randomized SMILES strings improve the quality of molecular generative models.J. Arús-Pous, S. Johansson, O. Prykhodko, E. Bjerrum, C. Tyrchan, J. Reymond, H. Chen, and O. Engkvist. J. Cheminformatics, 11 (1): 71:1-71:13 (2019)Fatigue Driving Recognition Based on Deep Learning.H. Chen, X. Zhan, and X. Han. CAIBDA, page 1-4. VDE / IEEE, (2022)ASIC implementation of an OFDM baseband transceiver for HINOC.H. Chen, X. Chen, T. Liu, and Y. Cheng. ASICON, page 167-170. IEEE, (2011)HFAN: High-Frequency Attention Network for hyperspectral image denoising.C. Yang, C. Zhang, H. Shen, T. Peng, C. Wang, L. Deng, H. Chen, and L. He. Int. J. Mach. Learn. Cybern., 15 (3): 837-851 (March 2024)Exploring the GDB-13 chemical space using deep generative models.J. Arús-Pous, T. Blaschke, S. Ulander, J. Reymond, H. Chen, and O. Engkvist. J. Cheminformatics, 11 (1): 20:1-20:14 (2019)Building attention and edge message passing neural networks for bioactivity and physical-chemical property prediction.M. Withnall, E. Lindelöf, O. Engkvist, and H. Chen. J. Cheminformatics, 12 (1): 1 (2020)Combining structural and bioactivity-based fingerprints improves prediction performance and scaffold hopping capability.O. Laufkötter, N. Sturm, J. Bajorath, H. Chen, and O. Engkvist. J. Cheminformatics, 11 (1): 54:1-54:14 (2019)

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Disambiguation of "Chen, Hongming"

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A deep learning framework for accurate reaction prediction and its application on high-throughput experimentation data.

Please choose a person to relate this publication to

Hongming Ren

Chen Chen

Chen Chen

Shih Chen Chen

Yi-Chen Chen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Chen, Hongming"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A deep learning framework for accurate reaction prediction and its application on high-throughput experimentation data.

Please choose a person to relate this publication to

Hongming Ren

Chen Chen

Chen Chen

Shih Chen Chen

Yi-Chen Chen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

A deep learning framework for accurate reaction prediction and its application on high-throughput experimentation data.