Identification of Potent Inhibitors for Salmonella typhimurium Quorum Sensing via Virtual Screening and Pharmacophore Modeling

被引:11
|
作者
Gnanendra, Shanmugam [1 ,3 ]
Mohamed, Syed [2 ]
Natarajan, Jeyakumar [3 ]
机构
[1] Selvamm Coll Arts & Sci, Bioinformat Div, Selvamm Computat Biol Res Ctr, Namakkal 637003, India
[2] Sadakathullah Appa Coll, Dept Chem, Tirunelveli 627011, India
[3] Bharathiar Univ, Dept Bioinformat, Coimbatore 641046, Tamil Nadu, India
关键词
Docking; pharmacophore; quorum sensing; Salmonella typhimurium; virtual screening; TO-CELL COMMUNICATION; GENE-EXPRESSION; SDIA; MECHANISMS; GENERATION; RESISTANCE; ENTERICA; HOMOLOG; LOCUS;
D O I
10.2174/1386207311301010003
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The quorum sensing (QS) enhanced transcriptional regulator SdiA of S. typhimurium is the best known and potential target and responds to a broad range of AHLs and AHL analogs. On the other hand, in many gram-negative bacteria including S. typhimurium, brominated furanones were reported to have inhibitory activity against the QS phenotypes. Motivated by both, we designed an in silico group of halogenated AHLs by substituting halogen compounds (Br, Cl, F and I) on the lactone ring of AHLs and analyzed their interactions with SdiA. The best analogs based on their docking score and another 18 training sets with inhibitory activity against S. typhimurium QS were used to design the pharmacophore. This pharmacophore model was used as a 3D database query against the MayBridge Database consisting of 56,000 compounds and subsequently, the screened compounds were filtered by Lipinski's rule and ADMET properties. This results in 10 compounds as probable leads to inhibit the SdiA activity and they were docked in the active site of SdiA. Among these, 3 compounds CD01374, RJF00047, and KM10117 exhibited the best docking scores and also favors the necessary hydrogen bond interactions with the essential amino acids in SdiA, and thus identified as novel leads to inhibit Salmonella pathogenicity.
引用
收藏
页码:826 / 839
页数:14
相关论文
共 50 条
  • [41] 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
  • [42] Pharmacophore Modeling and Virtual Screening to Design the Potential Influenza Virus Endonuclease Inhibitors
    Liao, Huang-Sheng
    Wu, Josephine W.
    Liu, Hsuan-Liang
    Zhao, Jian-Hua
    Tsao, Cheng-Wen
    Liu, Kung-Tien
    Chuang, Chih-Kuang
    Lin, Hsin-Yi
    Tsai, Wei-Bor
    Ho, Yih
    JOURNAL OF THE CHINESE CHEMICAL SOCIETY, 2012, 59 (11) : 1430 - 1438
  • [43] Pharmacophore modeling and virtual screening for designing potential 5-Lipoxygenase inhibitors
    Aparoy, P.
    Reddy, K. Kumar
    Kalangi, Suresh K.
    Reddy, T. Chandramohan
    Reddanna, P.
    BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, 2010, 20 (03) : 1013 - 1018
  • [44] Identification of potent inhibitors of DNA methyltransferase 1 (DNMT1) through a pharmacophore-based virtual screening approach
    Krishna, Shagun
    Shukla, Samriddhi
    Lakra, Amar Deep
    Meeran, Syed Musthapa
    Siddiqa, Mohammad Imran
    JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2017, 75 : 174 - 188
  • [45] Dual potent c-Met and ALK inhibitors: from common feature pharmacophore modeling to structure based virtual screening
    Pirhadi, Somayeh
    Damghani, Tahereh
    Avestan, Mohammad Sadegh
    Sharifi, Shahrzad
    JOURNAL OF RECEPTORS AND SIGNAL TRANSDUCTION, 2020, 40 (04) : 357 - 364
  • [46] Pharmacophore Design, Virtual Screening, Molecular Docking and Optimization Approaches to Discover Potent Thrombin Inhibitors
    Loganathan, Chandrasekaran
    Sakkiah, Sugunadevi
    Lee, Keun Woo
    Kabilan, Senthamaraikannan
    Meganathan, Chandrasekaran
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2013, 16 (09) : 702 - 720
  • [47] Discovery of Potent Soluble Epoxide Hydrolase (sEH) Inhibitors by Pharmacophore-Based Virtual Screening
    Waltenberger, Birgit
    Garscha, Ulrike
    Temml, Veronika
    Liers, Josephine
    Werz, Oliver
    Schuster, Daniela
    Stuppner, Hermann
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2016, 56 (04) : 747 - 762
  • [48] Identification of natural product compounds as quorum sensing inhibitors in Pseudomonas fluorescens P07 through virtual screening
    Ding, Ting
    Li, Tingting
    Li, Jianrong
    BIOORGANIC & MEDICINAL CHEMISTRY, 2018, 26 (14) : 4088 - 4099
  • [49] Structure based virtual screening for identification of potential quorum sensing inhibitors against LasR master regulator in Pseudomonas aeruginosa
    Kalia, Manmohit
    Singh, Pradeep Kumar
    Yadav, Vivek Kumar
    Yadav, Birendra Singh
    Sharma, Deepmala
    Narvi, Sahid Suhail
    Mani, Ashutosh
    Agarwal, Vishnu
    MICROBIAL PATHOGENESIS, 2017, 107 : 136 - 143
  • [50] Identification of new novel scaffold for Aurora A inhibition by pharmacophore modeling and virtual screening
    Chavan, Sayalee R.
    Dash, Radha Charan
    Alam, M. Sarwar
    Hirwani, Raj R.
    MOLECULAR DIVERSITY, 2014, 18 (04) : 853 - 863