Computational chemistry plays a pivotal role in accelerating the discovery and optimization of chloroquine derivatives for combating malaria, a devastating infectious disease that continues to pose significant global health challenges. This review provides an overview of the role of computational chemistry in exploring the structure and properties of chloroquine derivatives, highlighting its importance in drug discovery and development. Through the application of computational techniques such as molecular modeling, virtual screening, and structure-based drug design, researchers have gained valuable insights into the structure-activity relationships, pharmacological properties, and potential mechanisms of action of chloroquine derivatives. Despite challenges and limitations, computational chemistry offers promising opportunities for further research and development, driven by emerging trends in artificial intelligence, quantum computing, and multi-scale modeling. By harnessing the predictive power of computational chemistry and fostering interdisciplinary collaborations, we can accelerate the translation of novel chloroquine derivatives from the laboratory to the clinic, ultimately advancing efforts to combat malaria and improve global health outcomes.
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Kumar et al. (2024) studied this question.
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