Project description:Backgrounds:Justicia gendarussa Burm.f. has been known to have anti-HIV activity. This study was conducted to evaluate the effect of incubation time on the antiviral activity of the J. gendarussa leaves extract on HIV-infected MT-4 cells in vitro. Molecular docking test was also conducted to determine the interaction of alkaloids and flavonoids on the J. gendarussa leaves against HIV-1 reverse transcriptase receptor. It is expected that this research will provide scientific information on the development of J. gendarussa leaves as an anti-HIV drug. Materials and Methods:In the activity test, the effect of incubation time on the antiviral activity of J. gendarussa leaves on HIV-infected MT-4 cells were evaluated. During the activity test, a parameter of cytolysis effect inhibition on MT-4 cell line was observed after 4 days and 6 days incubation period. The molecular docking test is performed by using Molegro Virtual Docker software to determine the interaction of alkaloid and flavonoid compounds of J. gendarussa leaves with HIV-1 reverse transcriptase receptor. Results:The incubation time influences the CC50 and EC50 value. Fractionated-70% ethanol extract of J. gendarussa leaves showed a higher anti-HIV activity with EC50 = 3.045 x 10-9 ?g/mL, SI = 6.309 x 1012 (4 days of incubation) and EC50 = 6.066 ?g/mL, SI = 58494.845 (6 days of incubation). From molecular docking test, it was found that flavonoid of J. gendarussa leaves could inhibit the activity of HIV reverse transcriptase enzyme. Conclusion:Fractionated-70% ethanol extract of J. gendarussa has potential as an anti-HIV.

| S-EPMC5876772 | biostudies-literature

Molecular modeling of cornulin (CRNN) for docking with phytocompounds from Justicia adhatoda L.

Project description:Cornulin (CRNN) is linked with tumour progression. Therefore, it is of interest to document data on the molecular modeling of cornulin (CRNN) for docking with phytocompounds (Pyrazinamide, Anisotine, Vasicinone, Vasicoline) from Justicia adhatoda L. Thus, we document the optimal binding features of these compounds with the cornulin model for further consideration.

| S-EPMC8340691 | biostudies-literature

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