Towards the quantum-enabled technologies for development of drugs or delivery systems
Abstract
Enormous advances in technology and science have provided outstanding innovations including the development of quantum computers (QCs) capable of performing various tasks much more efficiently and quickly than the classical computers. Integrating and analyzing gigantic amounts of data, ultra-rapid calculations, solving intractable problems, secure communications, providing novel insights into the material design or biosystems, advanced simulations, rapid genome analysis and sequencing, early cancer detection, identifying novel drug applications, accelerated discovery of new molecules, targets, or theranostic agents and evaluation of their behaviors, and acquiring a deeper knowledge about the complex data patterns, formation of proteins, or mechanism of disease progression and evolution by QCs may indeed revolutionize conventional technologies and strategies. Application of quantum computing and machine learning for accelerated analysis of the biological or medical data, uncovering the mechanisms of chemical reactions or action of drug candidates, and creation of patient-specific treatment strategies using genomics data can result in the development of more effective and less toxic drugs or personalized therapy. This article highlights the importance of QCs in designing drugs and delivery systems, limitations, and possible solutions.
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