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2012.01736
Cited By
Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning
3 December 2020
Marcin J. Skwark
Nicolás López Carranza
Thomas Pierrot
Joe Phillips
Slim Said
Alexandre Laterre
Amine Kerkeni
Uugur cSahin
Karim Beguir
Re-assign community
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Papers citing
"Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning"
3 / 3 papers shown
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy
Annual International Conference on Research in Computational Molecular Biology (RECOMB), 2023
Ziqi Chen
Martin Renqiang Min
Ziqiao Wang
Chao Cheng
T. Clancy
Xia Ning
152
1
0
02 Mar 2023
A Text-guided Protein Design Framework
Shengchao Liu
Yanjing Li
Zhuoxinran Li
A. Gitter
Yutao Zhu
...
Arvind Ramanathan
Chaowei Xiao
Jian Tang
Ziqiao Wang
Anima Anandkumar
582
92
0
09 Feb 2023
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates
Jenna A. Bilbrey
Logan T. Ward
Sutanay Choudhury
Neeraj Kumar
Ganesh Sivaraman
217
1
0
07 May 2021
1
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