Generative Adversarial Networks for De Novo Molecular Design-Reference-Cited by-同舟云学术

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Generative Adversarial Networks for De Novo Molecular Design

Published:2021-07-06 Issue:10 Volume:40 Page:2100045
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Mol. Inf.

Author:

Lee Young Jae¹,Kahng Hyungu¹,Kim Seoung Bum¹^ORCID

Affiliation:

1. Department of Industrial Management Engineering Korea University 145 Anam-ro, Seongbuk-gu Seoul 02841 Republic of Korea

Funder

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Ministry of Culture, Sports and Tourism

Korea Creative Content Agency

Publisher

Wiley

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,Molecular Medicine,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/minf.202100045

Reference55 articles.

1. De NovoDesign: From Models to Molecules

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CardioGenAI: A Machine Learning-Based Framework for Re-Engineering Drugs for Reduced hERG Liability;2024-09-10

2. IEV2Mol: Molecular Generative Model Considering Protein–Ligand Interaction Energy Vectors;Journal of Chemical Information and Modeling;2024-09-10

3. AI meets physics: a comprehensive survey;Artificial Intelligence Review;2024-08-16

4. Machine Learning Assisted Molecule Design of Fuel;PROG CHEM;2024

5. ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation;Journal of Chemical Information and Modeling;2024-01-30

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