Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design
Shengchao Liu
1,2 ♠
Divin Yan
1 ♠
Weitao Du
3
Weiyang Liu
4
Zhuoxinran Li
5
Hongyu Guo
6
Christian Borgs
2♦
Jennifer Chayes
2♦
Anima Anandkumar
1♦
1
Caltech
2
UC Berkeley
3
Alibaba DAMO Academy
4
Max Planck Institute for Intelligent Systems
5
University of Toronto
6
University of Ottawa
♠
Equal contribution
♦
Equal advising
Paper
Code
NucleusDiff Pipeline
Atom Collision in Structure-Based Drug Design
Inference
5. Concurrent Visualization of Ligand-Specific and Joint Ligand-Manifold Inference Processes in NucleusDiff: Comparative Analysis of the Evolution from Random Noise to Final Structures across Proteins 2NGS and 4U5S.
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Citation
@misc{liu2024manifoldconstrainednucleusleveldenoisingdiffusion, title={Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design}, author={Shengchao Liu and Divin Yan and Weitao Du and Weiyang Liu and Zhuoxinran Li and Hongyu Guo and Christian Borgs and Jennifer Chayes and Anima Anandkumar}, year={2024}, eprint={2409.10584}, archivePrefix={arXiv}, primaryClass={q-bio.QM}, url={https://arxiv.org/abs/2409.10584}, }