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Zero-Shot 3D Drug Design by Sketching and Generating

About

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.

Siyu Long, Yi Zhou, Xinyu Dai, Hao Zhou• 2022

Related benchmarks

TaskDatasetResultRank
Pocket-based Molecular GenerationAdditional Docking Benchmark 1IEP, 3EML, 3NY8, 4RLU, 4UNN, 5MO4, 7L11
Score (1IEP)-10.97
18
structure-based drug designprotein targets (Set B)
Uniqueness100
14
structure-based drug designprotein targets (Set A)
Uniqueness100
7
structure-based drug designPDB 55 recovered protein pockets (test)
Vina Score (kcal/mol)-9.41
4
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