Generating tertiary protein structures via interpretable graph variational autoencoders
Xiaojie Guo(George Mason University), Amarda Shehu(George Mason University), Yuanqi Du(Microsoft (United States)), Sivani Tadepalli(George Mason University), Liang Zhao(Virginia Tech)
Cited by 31
Related Papers
Scientific discovery in the age of artificial intelligence
|Nature|2023|1.6k
'Beating the news' with EMBERS
|Unknown|2014|205
Structure-based drug design with equivariant diffusion models
|Nature Computational Science|2024|162
Machine learning-aided generative molecular design
|Nature Machine Intelligence|2024|142
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models
|International Journal of Computer Assisted Radiology and Surgery|2021|136