%0 Conference Paper %1 conf/icit/HuLLZZZ23 %A Hu, Xiuyuan %A Li, Yanghepu %A Liu, Guoqing %A Zhao, Yang %A Zhang, Hao %A Zhao, Liang %B ICIT %D 2023 %I ACM %K dblp %P 161-166 %T De novo Drug Design against SARS-CoV-2 Protein Targets using SMILES-based Deep Reinforcement Learning. %U http://dblp.uni-trier.de/db/conf/icit/icit2023.html#HuLLZZZ23

@inproceedings{conf/icit/HuLLZZZ23, added-at = {2024-04-25T00:00:00.000+0200}, author = {Hu, Xiuyuan and Li, Yanghepu and Liu, Guoqing and Zhao, Yang and Zhang, Hao and Zhao, Liang}, biburl = {https://www.bibsonomy.org/bibtex/24ac35b0ba13c7601957355999f799b5d/dblp}, booktitle = {ICIT}, crossref = {conf/icit/2023}, ee = {https://doi.org/10.1145/3638985.3639012}, interhash = {d9573c4724c9873fc4024d8df199d8a4}, intrahash = {4ac35b0ba13c7601957355999f799b5d}, keywords = {dblp}, pages = {161-166}, publisher = {ACM}, timestamp = {2024-04-29T07:20:03.000+0200}, title = {De novo Drug Design against SARS-CoV-2 Protein Targets using SMILES-based Deep Reinforcement Learning.}, url = {http://dblp.uni-trier.de/db/conf/icit/icit2023.html#HuLLZZZ23}, year = 2023 }