Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
In the field of pharmaceutical science, there is an increasing demand for advanced computational techniques to enhance drug discovery and understand complex molecular interactions. Classical models, despite their strengths, often struggle with complex biological systems and accurate drug predictions. Quantum computing, using qubits that exist in multiple states, processes information at unparalleled speeds. This chapter sheds light on the principles of quantum computing, emphasizing algorithms specifically designed for pharmaceutical applications. These methods signal groundbreaking advancements in drug design, molecular simulation, and drug interaction predictions. Quantum computers have the potential to surpass classical computers in simulating intricate molecules, thus offering more precise drug side effect forecasts. While challenges such as noise and error rates remain, the continuous evolution of quantum technology holds significant potential for breakthroughs in drug discovery and development.
In the field of pharmaceutical science, there is an increasing demand for advanced computational techniques to enhance drug discovery and understand complex molecular interactions. Classical models, despite their strengths, often struggle with complex biological systems and accurate drug predictions. Quantum computing, using qubits that exist in multiple states, processes information at unparalleled speeds. This chapter sheds light on the principles of quantum computing, emphasizing algorithms specifically designed for pharmaceutical applications. These methods signal groundbreaking advancements in drug design, molecular simulation, and drug interaction predictions. Quantum computers have the potential to surpass classical computers in simulating intricate molecules, thus offering more precise drug side effect forecasts. While challenges such as noise and error rates remain, the continuous evolution of quantum technology holds significant potential for breakthroughs in drug discovery and development.
The discovery of drugs is a long and complex process that includes the identification of potential drug targets, the synthesis of candidate compounds, and the assessment of their safety and efficacy. Traditional computational methods are successful but are often limited by factors such as computational resources, time, and accuracy. Quantum computing has unique properties such as superposition and attachment, which are capable of overcoming these limitations and revolutionizing drug discovery. Quantum computers can simulate complex molecules such as proteins and ligands with unique accuracy. This simulation capability enables scientists to study drug candidate behaviour at the atomic level, which helps to better understand their interactions with receptors and enzymes. The chapter outlines current and potential uses of quantum computing in pharmaceutical research, emphasizing drug discovery and discussing its feasibility and potential in drug design based on recent scientific studies.
Recent advancements in technologies such as quantum marketing, blockchain, Artificial Intelligence (AI), Virtual Reality (VR), and the Internet of Things (IoT) have fundamentally altered customer interactions, consequently influencing their purchasing decisions. The methodology employed encompasses a systematic literature review spanning peer reviewed journals and grey literature sources, including white papers, newspapers, blogs sites, and social media posts, covering the period from Januray 1, 2005, to December 31, 2023.Additionally, the study incorporates a sentiment analysis of Reddit posts drawn from a repository of 30,000 historical subreddits, aimed at evaluating consumer attitudes and behaviours towards purchasing.Through its findings, the study highlights the significant influence of consistent online community interaction on consumer behaviour, serving as a significant predictor of purchasing decisions. The study presents empirical evidence that positive language and digital marketing security fosters high levels of trust and positive sentiments online .
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.