Quantum QSAR for drug discovery

• URL: http://arxiv.org/abs/2505.04648v1
• Date: Tue, 06 May 2025 17:58:33 GMT
• Title: Quantum QSAR for drug discovery
• Authors: Alejandro Giraldo, Daniel Ruiz, Mariano Caruso, Guido Bellomo,
• Abstract summary: Quantitative Structure-Activity Relationship (QSAR) modeling is key in drug discovery.<n>This research proposes enhancing QSAR techniques through Quantum Support Vector Machines (QSVMs)<n>By using quantum data encoding and quantum kernel functions, we aim to develop more accurate and efficient predictive models.
• Score: 41.94295877935867
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Quantitative Structure-Activity Relationship (QSAR) modeling is key in drug discovery, but classical methods face limitations when handling high-dimensional data and capturing complex molecular interactions. This research proposes enhancing QSAR techniques through Quantum Support Vector Machines (QSVMs), which leverage quantum computing principles to process information Hilbert spaces. By using quantum data encoding and quantum kernel functions, we aim to develop more accurate and efficient predictive models.

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