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Hongming Chen 0001
Person information
- affiliation: Guangdong Laboratory, Guangzhou, China
Other persons with the same name
- Hongming Chen — disambiguation page
- Hongming Chen 0002 — Peking University, Beijing, China
- Hongming Chen 0003
— Zhejiang Ocean University, Zhoushan, China
- Hongming Chen 0004 — Shenyang Aerospace University, China
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2020 – today
- 2024
- [j28]Hao Zhang
, Jinchao Huang, Junjie Xie
, Weifeng Huang, Yuedong Yang
, Mingyuan Xu
, Jinping Lei
, Hongming Chen:
GRELinker: A Graph-Based Generative Model for Molecular Linker Design with Reinforcement and Curriculum Learning. J. Chem. Inf. Model. 64(3): 666-676 (2024) - 2023
- [j27]Baiqing Li
, Ting Ran, Hongming Chen:
3D based generative PROTAC linker design with reinforcement learning. Briefings Bioinform. 24(5) (2023) - [j26]Qijie Chen
, Haotong Sun, Haoyang Liu, Yinghui Jiang, Ting Ran, Xurui Jin, Xianglu Xiao, Zhimin Lin, Hongming Chen, Zhangming Niu:
An extensive benchmark study on biomedical text generation and mining with ChatGPT. Bioinform. 39(9) (2023) - [i3]Zhiguang Fan, Yuedong Yang, Mingyuan Xu, Hongming Chen:
Node-based Knowledge Graph Contrastive Learning for Medical Relationship Prediction. CoRR abs/2310.10138 (2023) - 2022
- [j25]Penglei Wang
, Shuangjia Zheng
, Yize Jiang, Chengtao Li, Junhong Liu, Chang Wen, Atanas Patronov, Dahong Qian, Hongming Chen
, Yuedong Yang
:
Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction Prediction. J. Chem. Inf. Model. 62(5): 1308-1317 (2022) - [j24]Jie Zhang
, Hongming Chen
:
De Novo Molecule Design Using Molecular Generative Models Constrained by Ligand-Protein Interactions. J. Chem. Inf. Model. 62(14): 3291-3306 (2022) - [j23]Youhai Tan
, Lingxue Dai, Weifeng Huang, Yinfeng Guo, Shuangjia Zheng
, Jinping Lei
, Hongming Chen, Yuedong Yang
:
DRlinker: Deep Reinforcement Learning for Optimization in Fragment Linking Design. J. Chem. Inf. Model. 62(23): 5907-5917 (2022) - [j22]Shuangjia Zheng, Youhai Tan, Zhenyu Wang, Chengtao Li, Zhiqing Zhang, Xu Sang, Hongming Chen, Yuedong Yang
:
Accelerated rational PROTAC design via deep learning and molecular simulations. Nat. Mac. Intell. 4(9): 739-748 (2022) - 2021
- [j21]Shuangjia Zheng, Zengrong Lei, Haitao Ai, Hongming Chen, Daiguo Deng, Yuedong Yang
:
Deep scaffold hopping with multimodal transformer neural networks. J. Cheminformatics 13(1): 87 (2021) - [j20]Jie Zhang
, Rocío Mercado, Ola Engkvist
, Hongming Chen:
Comparative Study of Deep Generative Models on Chemical Space Coverage. J. Chem. Inf. Model. 61(6): 2572-2581 (2021) - [j19]Mingyuan Xu
, Ting Ran
, Hongming Chen:
De Novo Molecule Design Through the Molecular Generative Model Conditioned by 3D Information of Protein Binding Sites. J. Chem. Inf. Model. 61(7): 3240-3254 (2021) - [j18]Lizhao Hu, Yuyao Yang
, Shuangjia Zheng
, Jun Xu, Ting Ran
, Hongming Chen
:
Kinase Inhibitor Scaffold Hopping with Deep Learning Approaches. J. Chem. Inf. Model. 61(10): 4900-4912 (2021) - [j17]Rocío Mercado
, Tobias Rastemo, Edvard Lindelöf, Günter Klambauer, Ola Engkvist, Hongming Chen, Esben Jannik Bjerrum
:
Graph networks for molecular design. Mach. Learn. Sci. Technol. 2(2): 25023 (2021) - 2020
- [j16]Michael Withnall
, Edvard Lindelöf, Ola Engkvist
, Hongming Chen:
Building attention and edge message passing neural networks for bioactivity and physical-chemical property prediction. J. Cheminformatics 12(1): 1 (2020) - [j15]Noé Sturm, Andreas Mayr, Thanh Le Van, Vladimir I. Chupakhin
, Hugo Ceulemans, Jörg K. Wegner
, José Felipe Golib Dzib, Nina Jeliazkova
, Yves Vandriessche, Stanislav Böhm, Vojtech Cima, Jan Martinovic
, Nigel Greene, Tom Vander Aa, Thomas J. Ashby, Sepp Hochreiter, Ola Engkvist
, Günter Klambauer, Hongming Chen:
Industry-scale application and evaluation of deep learning for drug target prediction. J. Cheminformatics 12(1): 26 (2020) - [j14]Josep Arús-Pous
, Atanas Patronov, Esben Jannik Bjerrum, Christian Tyrchan
, Jean-Louis Reymond, Hongming Chen, Ola Engkvist
:
SMILES-based deep generative scaffold decorator for de-novo drug design. J. Cheminformatics 12(1): 38 (2020) - [j13]Thomas Blaschke, Josep Arús-Pous, Hongming Chen, Christian Margreitter
, Christian Tyrchan
, Ola Engkvist
, Kostas Papadopoulos
, Atanas Patronov
:
REINVENT 2.0: An AI Tool for De Novo Drug Design. J. Chem. Inf. Model. 60(12): 5918-5922 (2020) - [j12]Panagiotis-Christos Kotsias
, Josep Arús-Pous, Hongming Chen, Ola Engkvist
, Christian Tyrchan, Esben Jannik Bjerrum
:
Direct steering of de novo molecular generation with descriptor conditional recurrent neural networks. Nat. Mach. Intell. 2(5): 254-265 (2020)
2010 – 2019
- 2019
- [j11]Josep Arús-Pous
, Thomas Blaschke, Silas Ulander, Jean-Louis Reymond
, Hongming Chen, Ola Engkvist
:
Exploring the GDB-13 chemical space using deep generative models. J. Cheminformatics 11(1): 20:1-20:14 (2019) - [j10]Oliver Laufkötter
, Noé Sturm, Jürgen Bajorath, Hongming Chen, Ola Engkvist
:
Combining structural and bioactivity-based fingerprints improves prediction performance and scaffold hopping capability. J. Cheminformatics 11(1): 54:1-54:14 (2019) - [j9]Josep Arús-Pous
, Simon Johansson
, Oleksii Prykhodko, Esben Jannik Bjerrum, Christian Tyrchan
, Jean-Louis Reymond
, Hongming Chen, Ola Engkvist
:
Randomized SMILES strings improve the quality of molecular generative models. J. Cheminformatics 11(1): 71:1-71:13 (2019) - [j8]Oleksii Prykhodko, Simon Johansson
, Panagiotis-Christos Kotsias, Josep Arús-Pous
, Esben Jannik Bjerrum, Ola Engkvist
, Hongming Chen:
A de novo molecular generation method using latent vector based generative adversarial network. J. Cheminformatics 11(1): 74 (2019) - [j7]Noé Sturm
, Jiangming Sun
, Yves Vandriessche, Andreas Mayr, Günter Klambauer
, Lars Carlsson, Ola Engkvist
, Hongming Chen:
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models. J. Chem. Inf. Model. 59(3): 962-972 (2019) - [c3]Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen:
ExCAPE-DB: An Integrated Large Scale Dataset Facilitating Big Data Analysis in Chemogenomics. BNAIC/BENELEARN 2019 - [c2]Josep Arús-Pous
, Simon Johansson
, Oleksii Prykhodko
, Esben Jannik Bjerrum
, Christian Tyrchan
, Jean-Louis Reymond
, Hongming Chen
, Ola Engkvist
:
Improving Deep Generative Models with Randomized SMILES. ICANN (Workshop) 2019: 747-751 - [c1]Michael Withnall
, Edvard Lindelöf, Ola Engkvist
, Hongming Chen:
Attention and Edge Memory Convolution for Bioactivity Prediction. ICANN (Workshop) 2019: 752-757 - 2017
- [j6]Jiangming Sun, Nina Jeliazkova
, Vladimir I. Chupakhin, José Felipe Golib Dzib, Ola Engkvist
, Lars Carlsson, Jörg K. Wegner
, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov
, Nikolay T. Kochev
, Thomas J. Ashby, Hongming Chen:
ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J. Cheminformatics 9(1): 17:1-17:9 (2017) - [j5]Jiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Ola Engkvist
, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen:
Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J. Cheminformatics 9(1): 41:1 (2017) - [j4]Marcus Olivecrona
, Thomas Blaschke, Ola Engkvist
, Hongming Chen:
Molecular de-novo design through deep reinforcement learning. J. Cheminformatics 9(1): 48:1-48:14 (2017) - [j3]Jiangming Sun
, Lars Carlsson, Ernst Ahlberg, Ulf Norinder
, Ola Engkvist
, Hongming Chen:
Applying Mondrian Cross-Conformal Prediction To Estimate Prediction Confidence on Large Imbalanced Bioactivity Data Sets. J. Chem. Inf. Model. 57(7): 1591-1598 (2017) - [i2]Marcus Olivecrona, Thomas Blaschke, Ola Engkvist
, Hongming Chen:
Molecular De Novo Design through Deep Reinforcement Learning. CoRR abs/1704.07555 (2017) - [i1]Thomas Blaschke, Marcus Olivecrona, Ola Engkvist
, Jürgen Bajorath, Hongming Chen:
Application of generative autoencoder in de novo molecular design. CoRR abs/1711.07839 (2017) - 2010
- [j2]Hongming Chen, Yidong Yang, Ola Engkvist
:
Molecular Topology Analysis of the Differences between Drugs, Clinical Candidate Compounds, and Bioactive Molecules. J. Chem. Inf. Model. 50(12): 2141-2150 (2010)
2000 – 2009
- 2009
- [j1]Hongming Chen, Ulf Borjesson, Ola Engkvist
, Thierry Kogej, Mats Svensson, Niklas Blomberg
, Dirk Weigelt, Jeremy N. Burrows, Tim Lange:
ProSAR: A New Methodology for Combinatorial Library Design. J. Chem. Inf. Model. 49(3): 603-614 (2009)
Coauthor Index
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last updated on 2024-08-25 20:05 CEST by the dblp team
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