Quantum chemical descriptors in quantitative structure–activity relationship models and their applications

With the accumulation of chemical and biological experimental data and the continuous development of mathematical statistical algorithms, quantitative structure–activity relationship (QSAR) models play an important role in modern chemistry research. Molecular descriptors, as the core feature parameters of QSAR models, are among the key factors in determining the model performance. With the rapid development of high-performance computers and more efficient quantum chemical (QC) methods, QC descriptors with accurate characterization of electronic structures and clear mathematical meaning are essential for the development of QSAR models. This paper systematically summarizes the advantages and basic principles of QC descriptors. In addition, it introduces the applications of QSAR models based on QC descriptors in organic, medicinal, analytical, and environmental chemistry in recent years. Finally, it discusses the existing limitations of QC descriptors and their possible future development. [Display omitted] •The origin and mathematical definition of QC descriptors are expounded.•The advantages of using QC descriptors in QSAR models are summarized.•Applications of QC-based QSAR models in various chemistry fields are introduced.•The limitations of QC descriptors and possible future developments are discussed.