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%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
}