An Investigation of the Use of Quantum Computing for Drug Discovery Research at University of Ilorin, Kwara State
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- NGN 5000
Background of the Study
Quantum computing has gained significant attention in various fields, particularly in the life sciences, where it promises to revolutionize drug discovery and molecular simulations. Traditional drug discovery processes involve computational chemistry and molecular modeling, which can be computationally expensive and time-consuming (Kessel & Leung, 2023). Quantum computing, however, has the potential to accelerate these processes by leveraging quantum mechanics to simulate molecular interactions with higher accuracy and efficiency. Quantum computers can process large amounts of data in parallel, allowing for the exploration of molecular structures and interactions at a scale that classical computers cannot achieve (Jones et al., 2024).
At the University of Ilorin, Kwara State, the application of quantum computing in drug discovery could provide a unique opportunity to enhance research on new treatments for diseases, particularly those prevalent in Nigeria. This study will investigate how quantum algorithms, such as quantum simulation and optimization techniques, can be used to improve the accuracy and efficiency of drug discovery research, potentially speeding up the identification of drug candidates and therapeutic targets.
Statement of the Problem
The process of drug discovery is currently hindered by the limitations of classical computational models, which require significant time and computational power to analyze molecular interactions. These limitations often delay the development of new drugs and therapies. While quantum computing holds great potential for enhancing drug discovery, its application in this field is still underexplored, particularly in Nigerian universities. The University of Ilorin has the potential to integrate quantum computing into its research initiatives, but the challenges associated with adopting this new technology—such as lack of expertise and computational infrastructure—pose significant barriers. This study will investigate how quantum computing can be applied to drug discovery research at the University of Ilorin, Kwara State, and identify the challenges that may arise in the process.
Objectives of the Study
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To explore the potential of quantum computing in enhancing drug discovery research at the University of Ilorin.
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To assess the feasibility of integrating quantum computing techniques in molecular simulations and drug design.
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To identify the challenges and opportunities in using quantum computing for drug discovery research in Nigerian universities.
Research Questions
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How can quantum computing techniques enhance drug discovery research at the University of Ilorin?
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What are the potential benefits of quantum simulations in drug discovery and molecular modeling?
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What challenges exist in implementing quantum computing for drug discovery research in Nigerian universities?
Significance of the Study
This research will provide valuable insights into the potential applications of quantum computing in drug discovery, which could significantly accelerate the development of new treatments for diseases. By exploring its integration into the University of Ilorin’s research efforts, this study will also help identify the infrastructure and training needed to support the adoption of quantum technologies in Nigerian universities.
Scope and Limitations of the Study
The study will focus on the application of quantum computing in drug discovery research at the University of Ilorin, Kwara State. It will not address the broader adoption of quantum computing in other fields of research or across different Nigerian universities.
Definitions of Terms
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Quantum Computing: A computing paradigm that uses quantum-mechanical phenomena to solve problems that are intractable for classical computers.
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Drug Discovery: The process by which new candidate medications are discovered and developed through screening, testing, and refinement of molecular compounds.
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Molecular Simulation: A computational technique used to model and analyze the physical movements of atoms and molecules.
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