Prediction of binding potential of natural leads against the prioritized drug targets of chikungunya and dengue viruses by computational screening

被引:11
|
作者
Keramagi, Ambika R. [1 ]
Skariyachan, Sinosh [1 ,2 ]
机构
[1] Dayananda Sagar Coll Engn, Dept Biotechnol, Bangalore, Karnataka, India
[2] Visvesvaraya Technol Univ, Belagavi, India
关键词
Chinkungunya virus (CHIKV); Dengue virus (DENV); Computational screening; Kaempferol; Chymopain; Gossypetin; Promising lead candidates; PERMEABILITY; ACCURACY; PROTEASE; REVEALS; DOCKING;
D O I
10.1007/s13205-018-1303-2
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The current study aimed to assess the binding potential of herbal lead molecules against the prioritized molecular targets of chikungunya virus (CHIKV) and dengue virus (DENV) by computational virtual screening and suggests a novel therapeutic intervention. Based on the metabolic pathway analysis and virulent functions, the non-structural and envelop proteins present in CHIKV and DENV were identified as putative drug targets. The structures of the protein not available in their native forms were computationally predicted by homology modeling. The lead compounds from 43 herbal sources were screened and their drug likeliness and pharmacokinetics properties were computationally predicted. The binding potential of selected phytoligands against the prioritized drug targets were analyzed by molecular docking studies. This study revealed that Kaempferol (3,5,7-trihydroxy-2-(4-hydroxyphenyl)chromen-4-one) and Chymopain (disodium;4,5-dihydroxybenzene-l,3-disulfonate), natural flavonols present in Carica papaya and Gossypetin (3, 5,7, 8, 3', 4'-hexahydroxyflavone), a natural flavonoid available in Hibiscus sabdariffa were demonstrated promising good binding potential with minimum binding energy (kcal/mol) and maximum stabilizing interactions to the putative drug targets of CHIKV and DENV. The selected lead molecules demonstrated ideal drug likeliness, ADMET, distribution, excretion, metabolism and toxicity) features required for the drug development. The molecular docking studies suggested that the presence of these compounds probably responsible for the antiviral properties of Carica papaya, which was traditionally known as therapeutic remedy for dengue viral infections. This study provides profound insight for the experimental validation of the applied approach and industrial scale-up of the suggested herbal lead molecules as promising lead candidates against CHIKV and DENV infections.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Prediction of binding potential of natural leads against the prioritized drug targets of chikungunya and dengue viruses by computational screening
    Ambika R. Keramagi
    Sinosh Skariyachan
    [J]. 3 Biotech, 2018, 8
  • [2] Computational analysis of human host binding partners of chikungunya and dengue viruses during coinfection
    Ghildiyal, Ritu
    Gabrani, Reema
    [J]. PATHOGENS AND DISEASE, 2021, 79 (08):
  • [3] Potential Antivirals: Natural Products Targeting Replication Enzymes of Dengue and Chikungunya Viruses
    Costa da Silveira Oliveira, Ana Flavia
    Teixeira, Robson Ricardo
    de Oliveira, Andre Silva
    Martins de Souza, Ana Paula
    da Silva, Milene Lopes
    de Paula, Sergio Oliveira
    [J]. MOLECULES, 2017, 22 (03)
  • [4] In Vitro Antiviral Activity of Potential Medicinal Plant Extracts Against Dengue and Chikungunya Viruses
    Alagarasu, Kalichamy
    Patil, Poonam
    Kaushik, Meenakshi
    Chowdhury, Deepika
    Joshi, Rajesh K.
    Hegde, Harsha V.
    Kakade, Mahadeo B.
    Hoti, Sugeerappa Laxmanappa
    Cherian, Sarah
    Parashar, Deepti
    [J]. FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2022, 12
  • [5] Bioinformatics prediction of siRNAs as potential antiviral agents against dengue viruses
    Villegas-Rosales, Paula M.
    Mendez-Tenorio, Alfonso
    Ortega-Soto, Elizabeth
    Barron, Blanca L.
    [J]. BIOINFORMATION, 2012, 8 (11) : 519 - 522
  • [6] Bioinformatics prediction of siRNAs as potential antiviral agents against dengue viruses
    Barron, B. L.
    Villegas-Rosales, P. M.
    Ortega-Soto, E.
    [J]. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2012, 16 : E70 - E70
  • [7] Novel Insight from Computational Virtual Screening Depict the Binding Potential of Selected Phytotherapeutics Against Probable Drug Targets of Clostridium difficile
    Kamath, Suman
    Skariyachan, Sinosh
    [J]. INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES, 2018, 10 (03) : 583 - 604
  • [8] Novel Insight from Computational Virtual Screening Depict the Binding Potential of Selected Phytotherapeutics Against Probable Drug Targets of Clostridium difficile
    Suman Kamath
    Sinosh Skariyachan
    [J]. Interdisciplinary Sciences: Computational Life Sciences, 2018, 10 : 583 - 604
  • [9] Computational identification of potential drug targets against Mycobacterium leprae
    Reaz Uddin
    Syed Sikander Azam
    Abdul Wadood
    Waqasuddin Khan
    Umar Farooq
    Ajmal Khan
    [J]. Medicinal Chemistry Research, 2016, 25 : 473 - 481
  • [10] Computational identification of potential drug targets against Mycobacterium leprae
    Uddin, Reaz
    Azam, Syed Sikander
    Wadood, Abdul
    Khan, Waqasuddin
    Farooq, Umar
    Khan, Ajmal
    [J]. MEDICINAL CHEMISTRY RESEARCH, 2016, 25 (03) : 473 - 481