A leishmaniasis study: Structure-based screening and molecular dynamics mechanistic analysis for discovering potent inhibitors of spermidine synthase

被引:31
|
作者
Grover, Abhinav [1 ]
Katiyar, Shashank Prakash [1 ]
Singh, Sanjeev Kumar [2 ]
Dubey, Vikash Kumar [3 ]
Sundar, Durai [1 ]
机构
[1] Indian Inst Technol IIT Delhi, Dept Biochem Engn & Biotechnol, New Delhi 110016, India
[2] Alagappa Univ, Dept Bioinformat, Karaikkudi 630003, Tamil Nadu, India
[3] Indian Inst Technol Guwahati, Dept Biotechnol, Gauhati 781039, Assam, India
来源
BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS | 2012年 / 1824卷 / 12期
关键词
Leishmania; Spermidine synthase; Inhibitors; Docking; Molecular dynamics simulations; POLYAMINE BIOSYNTHETIC-ENZYMES; MULTIPLE SEQUENCE ALIGNMENT; CRYSTAL-STRUCTURE; PSI-BLAST; PLASMODIUM-FALCIPARUM; ALPHA-DIFLUOROMETHYLORNITHINE; SURFACE-TOPOGRAPHY; ACCURATE DOCKING; PROTEIN MODELS; COMPUTED ATLAS;
D O I
10.1016/j.bbapap.2012.05.016
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
Protozoa Leishmania donovani (Ld) is the main cause of the endemic disease leishmaniasis. Spermidine synthase (SS), an important enzyme in the synthetic pathway of polyamines in Ld, is an essential element for the survival of this protozoan. Targeting SS may provide an important aid for the development of drugs against Ld. However, absence of tertiary structure of spermidine synthase of Leishmania donovani (LSS) limits the possibilities of structure based drug designing. Presence of the same enzyme in the host itself further challenges the drug development process. We modeled the tertiary structure of LSS using homology modeling approach making use of homologous X-ray crystallographic structure of spermidine synthase of Trypanosoma cruzi (TSS) (2.5 angstrom resolution). The modeled structure was stabilized using Molecular Dynamics simulations. Based on active site structural differences between LSS and human spermidine synthase (HSS), we screened a large dataset of compounds against modeled protein using Glide virtual screen docking and selected two best inhibitors based on their docking scores (-10.04 and -13.11 respectively) with LSS and having least/no binding with the human enzyme. Finally Molecular Dynamics simulations were used to assess the dynamic stability of the ligand bound structures and to elaborate on the binding modes. This article is part of a Special Issue entitled: Computational Methods for Protein Interaction and Structural Prediction. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:1476 / 1483
页数:8
相关论文
共 50 条
  • [1] Structure-based screening and molecular dynamics simulation studies for the identification of potential acetylcholinesterase inhibitors
    Ganeshpurkar, Ankit
    Singh, Ravi
    Gore, Pravin Gangaram
    Kumar, Devendra
    Gutti, Gopichand
    Kumar, Ashok
    Singh, Sushil Kumar
    MOLECULAR SIMULATION, 2020, 46 (03) : 169 - 185
  • [2] Identification of Potent VHZ Phosphatase Inhibitors with Structure-Based Virtual Screening
    Park, Hwangseo
    Park, So Ya
    Oh, Jung Jin
    Ryu, Seong Eon
    JOURNAL OF BIOMOLECULAR SCREENING, 2013, 18 (02) : 226 - 231
  • [3] Identification of terpenoids as dihydropteroate synthase and dihydrofolate reductase inhibitors through structure-based virtual screening and molecular dynamic simulations
    Saini, Abhishek
    Kumar, Amit
    Jangid, Kailash
    Kumar, Vinod
    Jaitak, Vikas
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2024, 42 (04): : 1966 - 1984
  • [4] Structure-based virtual screening for potent inhibitors of GH-20?-N-acetylglucosaminidase: Classical and machine learning scoring functions, and molecular dynamics simulations
    Phengsakun, Grittin
    Boonyarit, Bundit
    Rungrotmongkol, Thanyada
    Suginta, Wipa
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2023, 104
  • [5] Structure-based virtual screening of highly potent inhibitors of the nematode chitinase CeCht1
    Chen, Wei
    Chen, Qi
    Kumar, Ashutosh
    Jiang, Xi
    Zhang, Kam Y. J.
    Yang, Qing
    JOURNAL OF ENZYME INHIBITION AND MEDICINAL CHEMISTRY, 2021, 36 (01) : 1198 - 1204
  • [6] Identification of Potent Chloride Intracellular Channel Protein 1 Inhibitors from Traditional Chinese Medicine through Structure-Based Virtual Screening and Molecular Dynamics Analysis
    Wang, Wei
    Wan, Minghui
    Liao, Dongjiang
    Peng, Guilin
    Xu, Xin
    Yin, Weiqiang
    Guo, Guixin
    Jiang, Funeng
    Zhong, Weide
    He, Jianxing
    BIOMED RESEARCH INTERNATIONAL, 2017, 2017
  • [7] Discovery of novel inhibitors of histone deacetylase 6: Structure-based virtual screening, molecular dynamics simulation, enzyme inhibition and cell viability assays
    Uba, Abdullahi Ibrahim
    Hryb, Mariya
    Singh, Mursalin
    Bui-Linh, Candice
    Tran, Annie
    Atienza, Jiancarlo
    Misbah, Sarah
    Mou, Xiaoyang
    Wu, Chun
    LIFE SCIENCES, 2024, 338
  • [8] Structure-based virtual screening, free energy of binding and molecular dynamics simulations to propose novel inhibitors of Mtb-MurB oxidoreductase enzyme
    Nirwan, Sonam
    Chahal, Varun
    Kakkar, Rita
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2021, 39 (02): : 656 - 671
  • [9] Identification of potent HDAC 2 inhibitors using E-pharmacophore modelling, structure-based virtual screening and molecular dynamic simulation
    Pai, Padmini
    Kumar, Avinash
    Shetty, Manasa Gangadhar
    Kini, Suvarna Ganesh
    Krishna, Manoj Bhat
    Satyamoorthy, Kapaettu
    Babitha, Kampa Sundara
    JOURNAL OF MOLECULAR MODELING, 2022, 28 (05)
  • [10] Virtual Screening and Structure-Based Discovery of Indole Acylguanidines as Potent β-secretase (BACE1) Inhibitors
    Zou, Yiquan
    Li, Li
    Chen, Wuyan
    Chen, Tiantian
    Ma, Lanping
    Wang, Xin
    Xiong, Bing
    Xu, Yechun
    Shen, Jingkang
    MOLECULES, 2013, 18 (05) : 5706 - 5722