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Q-Cure Match: Quantum Assisted Drug Discovery for Faster Compound Screening

Mrs.J.bhargavi1, P.Sai Geethika2, S.Chandana3
1First Author Department & College
2Second Author Department & College
3Third Author Department & College

Abstract - Q-CureMatch is a quantum-assisted drug discovery platform that is used to quickly identify potential drugs. These drugs can be found using quantum algorithms in terms of their binding to a protein, which reduces the time needed for molecular docking experiments. In addition, deep learning helps in improving the accuracy given by statistical models, with the use of elements in personalized medicine, which helps to identify treatment suitable for each individual using their own genomic information. Also, using molecule structure , protein folding information, and response to drugs, itimproves the accuracy of the results.  drug discovery, where an understanding of simulatedmolecules at the quantum level is needed . Even though the development of quantum computing machines is at a primitive level, hybrid methods using quantum-classical computing are becoming increasingly higher. The goal of this review paper is to examine current techniques using AI for drug discovery, investigate the latest research in quantum computing applied to molecular modeling, and review hybrid approaches that bridge both technologies. It also focuses on current drawbacks and future enhancements, by laying the ground for the design and implementation of the Q-CureMatch platform.
Key Words: Machine learning, quantum computing, molecular docking, drug-discovery, compound screening