Zero-Shot 3D Drug Design by Sketching and Generating
Abstract
Drug design is a crucial step in the drug discovery cycle. Recently, various deep learning-based methods design drugs by generating novel molecules from scratch, avoiding traversing large-scale drug libraries. However, they depend on scarce experimental data or time-consuming docking simulation, leading to overfitting issues with limited training data and slow generation speed. In this study, we propose the zero-shot drug design method DESERT (Drug dEsign by SkEtching and geneRaTing). Specifically, DESERT splits the design process into two stages: sketching and generating, and bridges them with the molecular shape. The two-stage fashion enables our method to utilize the large-scale molecular database to reduce the need for experimental data and docking simulation. Experiments show that DESERT achieves a new state-of-the-art at a fast speed.
Cite
Text
Long et al. "Zero-Shot 3D Drug Design by Sketching and Generating." Neural Information Processing Systems, 2022.Markdown
[Long et al. "Zero-Shot 3D Drug Design by Sketching and Generating." Neural Information Processing Systems, 2022.](https://mlanthology.org/neurips/2022/long2022neurips-zeroshot/)BibTeX
@inproceedings{long2022neurips-zeroshot,
title = {{Zero-Shot 3D Drug Design by Sketching and Generating}},
author = {Long, Siyu and Zhou, Yi and Dai, Xinyu and Zhou, Hao},
booktitle = {Neural Information Processing Systems},
year = {2022},
url = {https://mlanthology.org/neurips/2022/long2022neurips-zeroshot/}
}