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Rong Sheng
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2020 – today
- 2024
- [j4]Geng Chen, Yiyang Qin, Rong Sheng:
Integrating Prior Chemical Knowledge into the Graph Transformer Network to Predict the Stability Constants of Chelating Agents and Metal Ions. J. Chem. Inf. Model. 64(15): 5867-5877 (2024) - [j3]Lei Huang, Zheng Yuan, Huihui Yan, Rong Sheng, Linjing Liu, Fuzhou Wang, Weidun Xie, Nanjun Chen, Fei Huang, Songfang Huang, Ka-Chun Wong, Yaoyun Zhang:
A Unified Conditional Diffusion Framework for Dual Protein Targets-Based Bioactive Molecule Generation. IEEE Trans. Artif. Intell. 5(9): 4595-4606 (2024) - 2023
- [j2]Shukai Gu, Chao Shen, Jiahui Yu, Hong Zhao, Huanxiang Liu, Liwei Liu, Rong Sheng, Lei Xu, Zhe Wang, Tingjun Hou, Yu Kang:
Can molecular dynamics simulations improve predictions of protein-ligand binding affinity with machine learning? Briefings Bioinform. 24(2) (2023) - [i1]Lei Huang, Zheng Yuan, Huihui Yan, Rong Sheng, Linjing Liu, Fuzhou Wang, Weidun Xie, Nanjun Chen, Fei Huang, Songfang Huang, Ka-Chun Wong, Yaoyun Zhang:
DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins. CoRR abs/2306.13957 (2023) - 2022
- [j1]Huihui Yan, Yuanyuan Xie, Yao Liu, Leer Yuan, Rong Sheng:
ComABAN: refining molecular representation with the graph attention mechanism to accelerate drug discovery. Briefings Bioinform. 23(5) (2022)
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last updated on 2024-10-07 22:22 CEST by the dblp team
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