Lysine-Specific Demethylase 1 Inhibitors: A Comprehensive Review Utilizing Computer-Aided Drug Design Technologies

被引:6
作者
Han, Di [1 ,2 ,3 ]
Lu, Jiarui [1 ,2 ,3 ]
Fan, Baoyi [1 ,2 ,3 ]
Lu, Wenfeng [1 ,2 ,3 ]
Xue, Yiwei [1 ,2 ,3 ]
Wang, Meiting [1 ,2 ,3 ]
Liu, Taigang [1 ,2 ,3 ]
Cui, Shaoli [4 ]
Gao, Qinghe [5 ]
Duan, Yingchao [5 ]
Xu, Yongtao [1 ,2 ,3 ]
机构
[1] Xinxiang Med Univ, Sch Med Engn, Xinxiang 453003, Peoples R China
[2] Henan Int Joint Lab Neural Informat Anal & Drug In, Xinxiang 453003, Peoples R China
[3] Xinxiang Key Lab Biomed Informat Res, Xinxiang 453003, Peoples R China
[4] Xinxiang Med Univ, Sch Forens, Xinxiang 453003, Peoples R China
[5] Xinxiang Med Univ, Sch Pharm, Xinxiang 453003, Peoples R China
关键词
LSD1/KDM1A inhibitor; computer-aided drug design; molecular docking; QSAR; molecular dynamics simulation; CANCER CELL-GROWTH; REVERSIBLE INHIBITORS; MOLECULAR DOCKING; LSD1; INHIBITORS; (4-CYANOPHENYL)GLYCINE DERIVATIVES; INDOLE-DERIVATIVES; FIELD ANALYSIS; SELF-RENEWAL; POTENT; DISCOVERY;
D O I
10.3390/molecules29020550
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Lysine-specific demethylase 1 (LSD1/KDM1A) has emerged as a promising therapeutic target for treating various cancers (such as breast cancer, liver cancer, etc.) and other diseases (blood diseases, cardiovascular diseases, etc.), owing to its observed overexpression, thereby presenting significant opportunities in drug development. Since its discovery in 2004, extensive research has been conducted on LSD1 inhibitors, with notable contributions from computational approaches. This review systematically summarizes LSD1 inhibitors investigated through computer-aided drug design (CADD) technologies since 2010, showcasing a diverse range of chemical scaffolds, including phenelzine derivatives, tranylcypromine (abbreviated as TCP or 2-PCPA) derivatives, nitrogen-containing heterocyclic (pyridine, pyrimidine, azole, thieno[3,2-b]pyrrole, indole, quinoline and benzoxazole) derivatives, natural products (including sanguinarine, phenolic compounds and resveratrol derivatives, flavonoids and other natural products) and others (including thiourea compounds, Fenoldopam and Raloxifene, (4-cyanophenyl)glycine derivatives, propargylamine and benzohydrazide derivatives and inhibitors discovered through AI techniques). Computational techniques, such as virtual screening, molecular docking and 3D-QSAR models, have played a pivotal role in elucidating the interactions between these inhibitors and LSD1. Moreover, the integration of cutting-edge technologies such as artificial intelligence holds promise in facilitating the discovery of novel LSD1 inhibitors. The comprehensive insights presented in this review aim to provide valuable information for advancing further research on LSD1 inhibitors.
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页数:46
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