Advances in deep learning-based 3D molecular generative models-Reference-Cited by-同舟云学术

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Advances in deep learning-based 3D molecular generative models

Published:2023-01-09 Issue:2 Volume:53 Page:174-195
ISSN:1674-7224
Container-title:SCIENTIA SINICA Chimica
language:en
Short-container-title:Sci. Sin.-Chim

Author:

Yao Shaolun,Song Jie,Feng Zunlei,Jia Lingxiang,Zhong Zipeng,Song Mingli

Publisher

Science China Press., Co. Ltd.

Subject

Materials Chemistry,General Chemical Engineering,Biochemistry,General Chemistry

Link

https://engine.scichina.com/doi/pdf/28978BD1080943C69DFA50B8E9B0D177

Reference117 articles.

1. Utilizing graph machine learning within drug discovery and development

2. Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

3. Geometric Deep Learning: Going beyond Euclidean data

4. Advances and Challenges in De Novo Drug Design Using Three-Dimensional Deep Generative Models

5. AI in 3D compound design

Cited by 1 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. Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model;Interdisciplinary Sciences: Computational Life Sciences;2024-04-29

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