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Updated: Jul 2, 2026

Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery
Published on: May 16, 2021
Quantum-machine-assisted drug discovery
Yidong Zhou1, Jintai Chen2, Jinglei Cheng3
1Rensselaer Polytechnic Institute, Troy, NY, USA.
Abstract:
Drug discovery is lengthy and expensive, with traditional computer-aided design facing limits. This paper examines integrating quantum computing across the drug development cycle to accelerate and enhance workflows and rigorous decision-making. It highlights quantum approaches for molecular simulation, drug-target interaction prediction, and optimizing clinical trials. Leveraging quantum capabilities could accelerate timelines and costs for bringing therapies to market, improving efficiency and ultimately benefiting public health.
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