Discovery of Entamoeba histolytica hexokinase 1 inhibitors through homology modeling and virtual screening

被引:9
|
作者
Leticia Saucedo-Mendiola, Maria [1 ]
Manuel Salas-Pacheco, Jose [2 ]
Najera, Hugo [3 ]
Rojo-Dominguez, Arturo [3 ]
Yepez-Mulia, Lilian [4 ]
Avitia-Dominguez, Claudia [5 ]
Tellez-Valencia, Alfredo [5 ]
机构
[1] Univ Juarez Estado Durango, Fac Ciencias Quim, Durango 34000, Mexico
[2] Univ Juarez Estado Durango, Inst Invest Cient, Durango 34000, Mexico
[3] Univ Autonoma Metropolitana, Unidad Cuajimalpa, Lab Biosistemas, Delegacion Alvaro Obrego, DF, Mexico
[4] IMSS, Unidad Invest Med Enfermedades Infecciosas & Para, Mexico City, DF, Mexico
[5] Univ Juarez Estado Durango, Ctr Invest Alimentos & Nutr, Fac Med & Nutr, Durango 34000, Mexico
关键词
Entamoeba histolytica; hexokinase; 1; hit discovery; homology modeling; virtual screening; BIOCHEMICAL-CHARACTERIZATION; METRONIDAZOLE; GLYCOLYSIS; ENZYMES;
D O I
10.3109/14756366.2013.779265
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
Entamoeba histolytica, the parasite which causes amebiasis is responsible for 110 000 deaths a year. Entamoeba histolytica depends on glycolysis to obtain ATP for cellular work. According to metabolic flux studies, hexokinase exerts the highest flux control of this metabolic pathway; therefore, it is an excellent target in the search of new antiamebic drugs. To this end, a tridimensional model of E. histolytica hexokinase 1 (EhHK1) was constructed and validated by homology modeling. After virtual screening of 14 400 small molecules, the 100 with the best docking scores were selected, purchased and assessed in their inhibitory capacity. The results showed that three molecules (compounds 2921, 11275 and 2755) inhibited EhHK1 with an I-50 of 48, 91 and 96 mu M, respectively. Thus, we found the first inhibitors of EhHK1 that can be used in the search of new chemotherapeutic agents against amebiasis.
引用
收藏
页码:325 / 332
页数:8
相关论文
共 50 条
  • [21] Discovery of Novel NAMPT Inhibitors Based on Pharmacophore Modeling and Virtual Screening Techniques
    Yi, Qianying
    Zhou, Lu
    Shao, Xin
    Wang, Taijin
    Bao, Guangkai
    Shi, Huanhuan
    Zhou, Suwen
    Li, Xiaoli
    Tian, Yahui
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2014, 17 (10) : 868 - 878
  • [22] The Discovery of Novel ß-Secretase Inhibitors: Pharmacophore Modeling, Virtual Screening, and Docking Studies
    Niu, Yan
    Ma, Chao
    Jin, Hongwei
    Xu, Fengrong
    Gao, Haifei
    Liu, Peng
    Li, Yongjian
    Wang, Chao
    Yang, Guanyu
    Xu, Ping
    CHEMICAL BIOLOGY & DRUG DESIGN, 2012, 79 (06) : 972 - 980
  • [23] Homology Modeling of MDR1 Gene MDR1_ENTHI of E-histolytica & its Molecular Docking with Anti-Entamoeba Histolytica Agents
    Singla, Rajeev K.
    CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2015, 15 (11) : 980 - 989
  • [24] Homology modeling of human concentrative nucleoside transporter 1 and virtual screening study to find novel hCNT1 inhibitors
    Deokar, Hemantkumar S.
    Playa, Hilaire C.
    Buolamwini, John K.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2014, 247
  • [25] Homology modeling, virtual screening and MD simulations for the identification of NUAK1 and ULK1 potential dual inhibitors
    Zhang, Hao-ran
    Gao, Cheng-long
    Zhang, Li-chuan
    Yu, Ri-lei
    Kang, Cong-min
    NEW JOURNAL OF CHEMISTRY, 2022, 46 (09) : 4103 - 4113
  • [26] Discovery of novel TNKS inhibitors through structure-based virtual screening
    Ryu, Hwani
    Seo, Hye-Ran
    Kim, Hyo Jeong
    Ahn, Jiyeon
    CANCER RESEARCH, 2023, 83 (07)
  • [27] Discovery of new Syk inhibitors through structure-based virtual screening
    Huang, Yahui
    Zhang, Youjun
    Fan, Kexin
    Dong, Guoqiang
    Li, Bohua
    Zhang, Wannian
    Li, Jian
    Sheng, Chunquan
    BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, 2017, 27 (08) : 1776 - 1779
  • [28] Discovery of Mcl-1 inhibitors through virtual screening, molecular dynamics simulations and in vitro experiments
    Yue, Jianda
    Li, Yaqi
    Li, Fengjiao
    Zhang, Peng
    Li, Yimin
    Xu, Jiawei
    Zhang, Qianqian
    Zhang, Cheng
    He, Xiao
    Wang, Ying
    Liu, Zhonghua
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 152
  • [29] Discovery of peptide ligands through docking and virtual screening at nicotinic acetylcholine receptor homology models
    Leffler, Abba E.
    Kuryatov, Alexander
    Zebroski, Henry A.
    Powell, Susan R.
    Filipenko, Petr
    Hussein, Adel K.
    Gorson, Juliette
    Heizmann, Anna
    Lyskov, Sergey
    Tsien, Richard W.
    Poget, Sebastien F.
    Nicke, Annette
    Lindstrom, Jon
    Rudy, Bernardo
    Bonneau, Richard
    Holford, Mande
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (38) : E8100 - E8109
  • [30] Homology modeling of LmxMPK4 of Leishmania mexicana and virtual screening of potent inhibitors against it
    Chhedi Lal Gupta
    Mohd. Kalim Ahmad Khan
    Mohd. Faheem Khan
    Ashok K. Tiwari
    Interdisciplinary Sciences: Computational Life Sciences, 2013, 5 : 136 - 144