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Wang M, Fan B, Lu W, Ryde U, Chang Y, Han D, Lu J, Liu T, Gao Q, Chen C, Xu Y. Unraveling the Binding Mode of Cyclic Adenosine-Inosine Monophosphate (cAIMP) to STING through Molecular Dynamics Simulations. Molecules 2024; 29:2650. [PMID: 38893524 PMCID: PMC11173896 DOI: 10.3390/molecules29112650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 05/16/2024] [Accepted: 05/21/2024] [Indexed: 06/21/2024] Open
Abstract
The stimulator of interferon genes (STING) plays a significant role in immune defense and protection against tumor proliferation. Many cyclic dinucleotide (CDN) analogues have been reported to regulate its activity, but the dynamic process involved when the ligands activate STING remains unclear. In this work, all-atom molecular dynamics simulations were performed to explore the binding mode between human STING (hSTING) and four cyclic adenosine-inosine monophosphate analogs (cAIMPs), as well as 2',3'-cGMP-AMP (2',3'-cGAMP). The results indicate that these cAIMPs adopt a U-shaped configuration within the binding pocket, forming extensive non-covalent interaction networks with hSTING. These interactions play a significant role in augmenting the binding, particularly in interactions with Tyr167, Arg238, Thr263, and Thr267. Additionally, the presence of hydrophobic interactions between the ligand and the receptor further contributes to the overall stability of the binding. In this work, the conformational changes in hSTING upon binding these cAIMPs were also studied and a significant tendency for hSTING to shift from open to closed state was observed after binding some of the cAIMP ligands.
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Affiliation(s)
- Meiting Wang
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
- Department of Computational Chemistry, Chemical Centre, Lund University, SE-221 00 Lund, Sweden;
| | - Baoyi Fan
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
| | - Wenfeng Lu
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
| | - Ulf Ryde
- Department of Computational Chemistry, Chemical Centre, Lund University, SE-221 00 Lund, Sweden;
| | - Yuxiao Chang
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
| | - Di Han
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
| | - Jiarui Lu
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
| | - Taigang Liu
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
| | - Qinghe Gao
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China;
| | - Changpo Chen
- Henan Key Laboratory of Organic Functional Molecule and Drug Innovation, Key Laboratory of Green Chemical Media and Reactions of Ministry of Education, Collaborative Innovation Center of Henan Province for Green Manufacturing of Fine Chemicals, School of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang 453007, China
| | - Yongtao Xu
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China; (M.W.); (D.H.); (J.L.); (T.L.)
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Rezaei H, Zarezade V, Khodadadi I, Tavilani H, Tanzadehpanah H, Karimi J. Unveiling Arformoterol as a potent LSD1 inhibitor for breast cancer treatment: A comprehensive study integrating 3D-QSAR pharmacophore modeling, molecular docking, molecular dynamics simulations and in vitro assays. Int J Biol Macromol 2024; 258:129048. [PMID: 38159701 DOI: 10.1016/j.ijbiomac.2023.129048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 12/09/2023] [Accepted: 12/23/2023] [Indexed: 01/03/2024]
Abstract
Lysine Specific Demethylase 1 (LSD1) has been identified as a chromatin-modifying enzyme implicated in various cancer pathogeneses, highlighting the potential for novel epigenetic cancer treatments through the development of effective inhibitors. We employed 3D-QSAR pharmacophore modeling, molecular docking, and molecular dynamics simulations to identify a promising drug candidate for LSD1 inhibition. RMSD, RMSF, H-bond, and DSSP analysis demonstrated that ZINC02599970 (Arformoterol) and ZINC13453966 exhibited the highest LSD1 inhibitory potential. Experimental validation using MCF-7 and MDA-MB-231 cell lines revealed that Arformoterol displayed potent antiproliferative activity with IC50 values of 12.30 ± 1.48 μM and 19.69 ± 1.15 μM respectively. In contrast, the IC50 values obtained for the control (tranylcypromine) in exposure to MCF-7 and MDA-MB-231 cells were 104.6 ± 1.69 μM and 77 ± 0.67 μM, respectively. Arformoterol demonstrated greater LSD1 inhibitory potency in MCF-7 cells compared to MDA-MB-231 cells. Also, the expression of genes involved in chromatin rearrangement (LSD1), angiogenesis (VEGF1), cell migration (RORα), signal transduction (S100A8), apoptosis, and cell cycle (p53) were investigated. Arformoterol enhanced apoptosis and induced cell cycle arrest at the G2/M phase, both in MCF-7 and MDA-MB-231 cancer cells. Based on our findings, we propose that Arformoterol represents a promising candidate for breast cancer treatment, owing to its potent LSD1 inhibitory activity.
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Affiliation(s)
- Hamzeh Rezaei
- Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | | | - Iraj Khodadadi
- Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Heidar Tavilani
- Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Hamid Tanzadehpanah
- Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Jamshid Karimi
- Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
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Han D, Lu J, Fan B, Lu W, Xue Y, Wang M, Liu T, Cui S, Gao Q, Duan Y, Xu Y. Lysine-Specific Demethylase 1 Inhibitors: A Comprehensive Review Utilizing Computer-Aided Drug Design Technologies. Molecules 2024; 29:550. [PMID: 38276629 PMCID: PMC10821146 DOI: 10.3390/molecules29020550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 12/31/2023] [Accepted: 01/08/2024] [Indexed: 01/27/2024] Open
Abstract
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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Affiliation(s)
- Di Han
- School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China; (D.H.); (J.L.)
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang 453003, China
- Xinxiang Key Laboratory of Biomedical Information Research, Xinxiang 453003, China
| | - Jiarui Lu
- School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China; (D.H.); (J.L.)
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang 453003, China
- Xinxiang Key Laboratory of Biomedical Information Research, Xinxiang 453003, China
| | - Baoyi Fan
- School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China; (D.H.); (J.L.)
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang 453003, China
- Xinxiang Key Laboratory of Biomedical Information Research, Xinxiang 453003, China
| | - Wenfeng Lu
- School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China; (D.H.); (J.L.)
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang 453003, China
- Xinxiang Key Laboratory of Biomedical Information Research, Xinxiang 453003, China
| | - Yiwei Xue
- School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China; (D.H.); (J.L.)
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang 453003, China
- Xinxiang Key Laboratory of Biomedical Information Research, Xinxiang 453003, China
| | - Meiting Wang
- School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China; (D.H.); (J.L.)
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang 453003, China
- Xinxiang Key Laboratory of Biomedical Information Research, Xinxiang 453003, China
| | - Taigang Liu
- School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China; (D.H.); (J.L.)
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang 453003, China
- Xinxiang Key Laboratory of Biomedical Information Research, Xinxiang 453003, China
| | - Shaoli Cui
- School of Forensic, Xinxiang Medical University, Xinxiang 453003, China
| | - Qinghe Gao
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China
| | - Yingchao Duan
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China
| | - Yongtao Xu
- School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China; (D.H.); (J.L.)
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang 453003, China
- Xinxiang Key Laboratory of Biomedical Information Research, Xinxiang 453003, China
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Agboyibor C, Dong J, Effah CY, Drokow EK, Ampomah-Wireko M, Pervaiz W, Sangmor A, Ma X, Li J, Liu HM, Zhang P. Epigenetic compounds targeting pharmacological target lysine specific demethylase 1 and its impact on immunotherapy, chemotherapy and radiotherapy for treatment of tumor recurrence and resistance. Biomed Pharmacother 2023; 157:113934. [PMID: 36395607 DOI: 10.1016/j.biopha.2022.113934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 10/22/2022] [Accepted: 10/26/2022] [Indexed: 11/15/2022] Open
Abstract
It has been proven that metastatic recurrence and therapeutic resistance are linked. Due to the variability of individuals and tumors, as well as the tumor's versatility in avoiding therapies, therapy resistance is more difficult to treat. Therapy resistance has significantly restricted the clinical feasibility and efficacy of tumor therapy, despite the discovery of novel compounds and therapy combinations with increasing efficacy. In several tumors, lysine specific demethylase 1 (LSD1) has been associated to metastatic recurrence and therapeutic resistance. For researchers to better comprehend how LSD1-mediated tumor therapy resistance occurs and how to overcome it in various tumors, this study focused on the role of LSD1 in tumor recurrence and therapeutic resistance. The importance of therapeutically targeted LSD1 was also discussed. Most gene pathway signatures are related to LSD1 inhibitor sensitivity. However, some gene pathway signatures, especially in AML, negatively correlate with LSD1 inhibitor sensitivity, but targeting LSD1 makes the therapy-resistant tumor sensitive to physiological doses of conventional therapy. We propose that combining LSD1 inhibitor with traditional tumor therapy can help patients attain a complete response and prevent cancer relapse.
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Affiliation(s)
- Clement Agboyibor
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, PR China; Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education of China, Zhengzhou University, Zhengzhou 450001, PR China; Institute of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, PR China; Key Laboratory of Henan Province for Drug Quality Control and Evaluation, Zhengzhou University, Zhengzhou 450001, PR China; Collaborative Innovation Center of New Drug Research and Safety Evaluation of Henan Province; Zhengzhou University, Zhengzhou 450001, PR China; Institute of Drug Discovery and Development; Zhengzhou University, Zhengzhou 450001, PR China
| | - Jianshu Dong
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, PR China; Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education of China, Zhengzhou University, Zhengzhou 450001, PR China; Institute of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, PR China; Key Laboratory of Henan Province for Drug Quality Control and Evaluation, Zhengzhou University, Zhengzhou 450001, PR China; Collaborative Innovation Center of New Drug Research and Safety Evaluation of Henan Province; Zhengzhou University, Zhengzhou 450001, PR China
| | - Clement Yaw Effah
- College of Public Health, Zhengzhou University, Zhengzhou 450001, PR China
| | - Emmanuel Kwateng Drokow
- Department of Oncology, Zhengzhou University People's Hospital & Henan Provincial People's Hospital Henan, 450003, Zhengzhou, PR China
| | | | - Waqar Pervaiz
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, PR China; Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education of China, Zhengzhou University, Zhengzhou 450001, PR China; Institute of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, PR China; Key Laboratory of Henan Province for Drug Quality Control and Evaluation, Zhengzhou University, Zhengzhou 450001, PR China; Collaborative Innovation Center of New Drug Research and Safety Evaluation of Henan Province; Zhengzhou University, Zhengzhou 450001, PR China; Institute of Drug Discovery and Development; Zhengzhou University, Zhengzhou 450001, PR China
| | - Augustina Sangmor
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, PR China
| | - Xinli Ma
- China-US(Henan) Hormel Cancer Institute, No.127, Dongming Road, Jinshui District, Zhengzhou, Henan 450008, PR China
| | - Jian Li
- China-US(Henan) Hormel Cancer Institute, No.127, Dongming Road, Jinshui District, Zhengzhou, Henan 450008, PR China
| | - Hong-Min Liu
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, PR China; Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education of China, Zhengzhou University, Zhengzhou 450001, PR China; Institute of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, PR China; Key Laboratory of Henan Province for Drug Quality Control and Evaluation, Zhengzhou University, Zhengzhou 450001, PR China; Collaborative Innovation Center of New Drug Research and Safety Evaluation of Henan Province; Zhengzhou University, Zhengzhou 450001, PR China; Institute of Drug Discovery and Development; Zhengzhou University, Zhengzhou 450001, PR China.
| | - Peng Zhang
- Department of Bone and Soft Tissue Cancer, The Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, Henan province, PR China 450008.
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Xu Y, Fan B, Gao Y, Chen Y, Han D, Lu J, Liu T, Gao Q, Zhang JZ, Wang M. Design Two Novel Tetrahydroquinoline Derivatives against Anticancer Target LSD1 with 3D-QSAR Model and Molecular Simulation. Molecules 2022; 27:molecules27238358. [PMID: 36500451 PMCID: PMC9739212 DOI: 10.3390/molecules27238358] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 11/25/2022] [Accepted: 11/27/2022] [Indexed: 12/03/2022] Open
Abstract
Lysine-specific demethylase 1 (LSD1) is a histone-modifying enzyme, which is a significant target for anticancer drug research. In this work, 40 reported tetrahydroquinoline-derivative inhibitors targeting LSD1 were studied to establish the three-dimensional quantitative structure-activity relationship (3D-QSAR). The established models CoMFA (Comparative Molecular Field Analysis (q2 = 0.778, Rpred2 = 0.709)) and CoMSIA (Comparative Molecular Similarity Index Analysis (q2 = 0.764, Rpred2 = 0.713)) yielded good statistical and predictive properties. Based on the corresponding contour maps, seven novel tetrahydroquinoline derivatives were designed. For more information, three of the compounds (D1, D4, and Z17) and the template molecule 18x were explored with molecular dynamics simulations, binding free energy calculations by MM/PBSA method as well as the ADME (absorption, distribution, metabolism, and excretion) prediction. The results suggested that D1, D4, and Z17 performed better than template molecule 18x due to the introduction of the amino and hydrophobic groups, especially for the D1 and D4, which will provide guidance for the design of LSD1 inhibitors.
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Affiliation(s)
- Yongtao Xu
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China
| | - Baoyi Fan
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China
| | - Yunlong Gao
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China
| | - Yifan Chen
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China
| | - Di Han
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China
| | - Jiarui Lu
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China
| | - Taigang Liu
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China
| | - Qinghe Gao
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China
| | - John Zenghui Zhang
- Shanghai Engineering Research Center of Molecular Therapeutics & New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062, China
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China
- Department of Chemistry, New York University, New York, NY 10003, USA
| | - Meiting Wang
- School of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University, Xinxiang 453003, China
- Department of Theoretical Chemistry, Chemical Centre, Lund University, SE-221 00 Lund, Sweden
- Correspondence:
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Song Y, Zhang H, Yang X, Shi Y, Yu B. Annual review of lysine-specific demethylase 1 (LSD1/KDM1A) inhibitors in 2021. Eur J Med Chem 2022; 228:114042. [PMID: 34915312 DOI: 10.1016/j.ejmech.2021.114042] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 12/02/2021] [Accepted: 12/03/2021] [Indexed: 12/25/2022]
Abstract
Lysine-specific demethylase 1 (LSD1/KDM1A) has emerged as a promising epigenetic target for disease treatment. Several LSD1 inhibitors have advanced into clinical trials. Following our last annual review on LSD1 inhibitors in 2020 (Eur. J. Med. Chem. 2021, 214, 113254), in this review we aim to update LSD1 inhibitors including natural products, synthetic compounds and cyclic peptides reported during 2021. Design strategies, structure-activity relationships, binding model analysis and modes of action are highlighted. In particular, two FDA-approved antihypertensive drugs raloxifene and fenoldopam were repurposed as reversible LSD1 inhibitors. The clinical candidate TAK-418 for treating neurodevelopmental disorders and PET imaging agent [18F]30 for LSD1 were identified. Moreover, dual inhibitors targeting both LSD1 and HDAC6 or tubulin displayed enhanced anti-cancer effects than single agents. These compounds further enrich the structural types of LSD1 inhibitors.
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Affiliation(s)
- Yihui Song
- School of Pharmaceutical Sciences & Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, Zhengzhou University, Zhengzhou, 450001, China; State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing, 100000, China
| | - Huiqing Zhang
- School of Pharmaceutical Sciences & Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, Zhengzhou University, Zhengzhou, 450001, China
| | - Xiaoke Yang
- School of Pharmaceutical Sciences & Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, Zhengzhou University, Zhengzhou, 450001, China
| | - Yuting Shi
- School of Pharmaceutical Sciences & Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, Zhengzhou University, Zhengzhou, 450001, China
| | - Bin Yu
- School of Pharmaceutical Sciences & Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, Zhengzhou University, Zhengzhou, 450001, China; State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing, 100000, China; State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China.
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