Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation
Abstract Traditional virtual screening methods need to explore expanse and vast chemical spaces and need to be based on existing chemical libraries. With the development of deep learning techniques for the de novo generation of molecules, also known as inverse molecular design, the increasingly wide...
Saved in:
Main Authors: | Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-86840-z |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mamba vision models: Automated American sign language recognition
by: Ali Salem Altaher, et al.
Published: (2025-03-01) -
A multigrained preference analysis method for product iterative design incorporating AI-generated review detection
by: Zhaojing Su, et al.
Published: (2025-01-01) -
Clinical application of third-generation dual-source CT-based dynamic imaging reconstruction for pulmonary embolism imaging
by: Kai Liao, et al.
Published: (2025-01-01) -
The acceptability and validity of AI-generated psycholinguistic stimuli
by: Alaa Alzahrani
Published: (2025-01-01) -
Integration of Generative Artificial Intelligence in Higher Education: Best Practices
by: Jorge Cordero, et al.
Published: (2024-12-01)