Structure-based discovery of potent myosin inhibitors to guide antiparasite drug development

被引:2
|
作者
Tan, Xiaoping [1 ]
Qu, Shenye [1 ]
Wang, Guangshuo [1 ]
Zhang, Gengrong [1 ]
Liu, Tianqiang [1 ]
Ling, Fei [1 ]
Wang, Gaoxue [1 ]
机构
[1] Northwest A&F Univ, Coll Anim Sci & Technol, Xinong Rd 22nd, Yangling 712100, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Myosin; Virtual screening; Shikonin; 4-Naphthoquinone; Anthelmintic activity; SHIKONIN; MONOGENEA; REPLICATION; CHALCONES; MECHANISM; LAPACHOL; BINDING; FISH;
D O I
10.1016/j.ejmech.2024.116338
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Monogenea, a prevalent parasite in aquaculture, poses significant threats to the industry, leading to substantial losses. Current preventive measures have proven insufficient, necessitating the development of novel and effective anti-parasitic drugs. In this investigation, we obtained the full-length myosin cDNA sequence by analyzing three-generation transcriptome data, revealing a 5817-base sequence encoding 1938 amino acids. Subsequently, we modeled and analyzed the characteristics of the secondary and tertiary of myosin, pinpointing the crucial functional region within the motor domain (amino acids 1-768). The prokaryotic expression of this domain yielded a protein of 87.44 kDa, confirmed as myosin by Western Blotting. Molecular docking identified ASN439 as the key amino acid residue involved in arctigenin and myosin binding, a result corroborated by sitedirected mutagenesis, affirming the active cavity of this interaction. Chalcone and shikonin were chosen from a virtual sieve of molecular library of natural drugs based on the active cavity. Chalcone and shikonin exhibited EC50 values of 1.085 mg/L and 0.371 mg/L, respectively, with corresponding IC50 values for myosin of 0.44 mM and 0.14 mM. Given its superior activity and structure, shikonin was selected for further optimization of drug molecule design, culminating in the discovery of 1,4-naphthoquinone as a potent antiparasitic agent. This compound demonstrated an EC50 of 0.047 mg/L, LC50 of 0.23 mg/L, and a TI index of 4.893. These findings collectively highlight the potential of shikonin and 1,4-naphthoquinone as alternative compounds to control Gyrodactylus infections. Further optimization of medicinal chemistry holds promise for the development of more potent 1,4-naphthoquinone analogues, offering prospects for future anthelmintic control through combinatorial or replacement strategies.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Discovery of potent, orally bioavailable ERK1/2 inhibitors with isoindolin-1-one structure by structure-based drug design
    Ji, Dezhong
    Zhang, Lingzhi
    Zhu, Qihua
    Bai, Ying
    Wu, Yaoyao
    Xu, Yungen
    EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 2019, 164 : 334 - 341
  • [42] Fragment approaches in structure-based drug discovery
    Hubbard, Roderick E.
    JOURNAL OF SYNCHROTRON RADIATION, 2008, 15 (227-230) : 227 - 230
  • [43] Structure-based drug discovery for Plasmodium falciparum
    Mehlin, C
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2005, 8 (01) : 5 - 14
  • [44] Structure-Based Drug Discovery with Deep Learning
    Ozcelik, R.
    van Tilborg, D.
    Jimenez-Luna, J.
    Grisoni, F.
    CHEMBIOCHEM, 2023,
  • [45] New Targets for Structure-Based Drug Discovery
    Andrews, Steve
    Congreve, Miles
    CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2017, 17 (01) : 2 - 3
  • [46] Structure-Based Drug Discovery for Botulinum Neurotoxins
    Swaminathan, Subramanyam
    BOTULINUM NEUROTOXINS, 2013, 364 : 197 - 218
  • [47] Serial Crystallography for Structure-Based Drug Discovery
    Zhu, Lan
    Chen, Xiaoyu
    Abola, Enrique E.
    Jing, Liang
    Liu, Wei
    TRENDS IN PHARMACOLOGICAL SCIENCES, 2020, 41 (11) : 830 - 839
  • [48] Structure-based screening and design in drug discovery
    van Dongen, M
    Weigelt, J
    Uppenberg, J
    Schultz, J
    Wikström, M
    DRUG DISCOVERY TODAY, 2002, 7 (08) : 471 - 478
  • [49] Virtual screening in structure-based drug discovery
    Barril, X
    Hubbard, RE
    Morley, SD
    MINI-REVIEWS IN MEDICINAL CHEMISTRY, 2004, 4 (07) : 779 - 791
  • [50] Structure-based Design on Anticancer Drug Discovery
    Zhong, Haizhen Andrew
    CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2020, 20 (10) : 813 - 814