Table 4.

Partial drug-target interaction prediction techniques.

Categories	Methods	Drugs	References
Ligand-based	SEA	Chenxiang essential oil	Wang et al., 2019, Wang et al., 2019
		Peach kernel-safflower	Han et al., 2021, Han et al., 2021
	TTD	Chang Fu Kang	Jia, Yang, & Sun, 2020
		Qing Fei Yin	Wang et al., 2022, Wang et al., 2022, Wang et al., 2022, Wang et al., 2022, Wang et al., 2022, Wang et al., 2022
Target-based	Reverse molecular docking	Quercetin	Xu et al., 2022, Xu et al., 2022
		Avicularin	Duan, Li, Dong, Xu, & Ma, 2019
Machine learning	Principal component analysis	Xuefu Zhuyu Decoction	Song, Sun, Wu, & Wang, 2020
	SVM	Wogonin	Wang et al., 2021, Wang et al., 2021
	RF	Chuanxiong Rhizoma	Yuan, Li, Chen, Song, & Wang, 2014
	QSAR	LCFs	Hu et al., 2022
		Evodiae Fructus	Chen and Han, 2022, Chen and Cui, 2022
Combined	SVM, RF, AutoDOCK	Yu Jin Formula	Tao et al., 2013
	SVM, RF, AutoDOCK	Glycyrrhizae Radix et Rhizoma	Liu, Wang, Zhou, Wang, & Yang, 2013
	TTD, SEA	Curcumae Radix, Corn Stigma	Zhang et al., 2022, Zhang et al., 2022, Zhang et al., 2022, Zhang et al., 2022
	SEA, Swiss target prediction, AutoDOCK	Polygoni Cuspidati Rhizoma et Radix	Shan, Ji, Wu, & Zhao, 2022