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Journal Articles
- 2024
[j5]Hengwei Chen, Jürgen Bajorath:
Generative design of compounds with desired potency from target protein sequences using a multimodal biochemical language model. J. Cheminformatics 16(1): 55 (2024)- 2023
- [j4]Kohei Umedera, Atsushi Yoshimori, Hengwei Chen, Hiroyuki Kouji, Hiroyuki Nakamura, Jürgen Bajorath:
DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffolds. J. Comput. Aided Mol. Des. 37(2): 107-115 (2023) - 2022
- [j3]Mengqiu Sun, Shengnan She, Hengwei Chen, Jiaxi Cheng, Wei Ji, Dan Wang
, Chunlai Feng:
Prediction model for synergistic anti-tumor multi-compound combinations from traditional Chinese medicine based on extreme gradient boosting, targets and gene expression data. J. Bioinform. Comput. Biol. 20(3): 2250016:1-2250016:21 (2022) - [j2]Yanan Zhao, Yunpeng Wang, Xiaochun Cheng, Hengwei Chen, Haiyang Yu, Yilong Ren:
RFAP: A Revocable Fine-Grained Access Control Mechanism for Autonomous Vehicle Platoon. IEEE Trans. Intell. Transp. Syst. 23(7): 9668-9679 (2022) - 2019
- [j1]Chunlai Feng, Hengwei Chen, Xianqin Yuan, Mengqiu Sun, Kexin Chu, Hanqing Liu, Mengjie Rui:
Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance. J. Chem. Inf. Model. 59(7): 3240-3250 (2019)
Conference and Workshop Papers
- 2022
- [c2]Noah Kelleher, Ricardo Ramirez, Adnan Salihovic, Nathan McKay, Jonathan Kelly, Hengwei Chen, Goce Trajcevski:
Wind awareness for energy consumption in drone simulations (demo paper). SIGSPATIAL/GIS 2022: 108:1-108:4 - 2017
- [c1]Xuanping Zhang, Hengwei Chen, Rong Zhang, Jingwen Pei, Yixuan Wang, Zhongmeng Zhao, Yi Huang, Jiayin Wang:
Detecting complex indels with wide length-spectrum from the third generation sequencing data. BIBM 2017: 1980-1987
Data and Artifacts
- 2023
- [d2]Hengwei Chen, Jürgen Bajorath:
Designing highly potent compounds using a chemical language model. Zenodo, 2023
- 2022
- [d1]Hengwei Chen, Martin Vogt, Jürgen Bajorath:
DeepAC - Conditional transformer-based chemical language model for the prediction of activity cliffs formed by bioactive compounds. Zenodo, 2022
Coauthor Index
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