Quantum computing applications in drug discovery
Jing Li, Leyi Wei, Henry H Y Tong, Quan Zou · 2026
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Description
Jing Li, Leyi Wei, Henry Tong, and Quan Zou review where quantum computing could fit into early drug discovery, in a 2026 article. Three standard computer methods anchor the review: deep learning screens, docking screens, and simulations of how molecules move. Each method trades speed against steadiness and physical accuracy. Present quantum machines are noisy and mid-sized, which limits what they can do.
The authors argue the best near-term role is not to replace these methods but to plug quantum modules into chosen steps. Such steps include feature building in predictive models, priors in generative models, pose search in docking, and parts of movement simulations. The key test, they stress, is whether a module gives repeatable gains worth its time and cost.
Catalog record
| CREATOR | Jing Li, Leyi Wei, Henry H Y Tong, Quan Zou |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 68 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |