UJI BIOINFORMATIC MODELING SENYAWA AKTIF BIJI MELINJO (Gnetum gnemon L.) PADA PROTEIN KANKER SERVIKS DAN SARS COV-2

Abstract

Introduction: Cervical cancer cases in Indonesia are ranked second with the results of
data in 2020 of 36,633 cases. During the COVID-19 pandemic, cancer patients are
susceptible to being infected by COVID-19. Study data from China, February 2020, there
were 107 cancer patients infected with COVID-19. It should get more attention because
weakened immune form cancer patients. The purpose of this study was to determine the
potential of active compounds from melinjo seeds in inhibiting cervical cancer proteins and
SARS CoV-2.

Methods: The method used is bioinformatics test (STITCH -STRING) and molecular
docking test using Autodock Vina. The results will be seen from the lowest docking score.
Result: The results of the bioinformatics test were obtained in the form of target proteins
for cervical cancer regulators, namely MYC and TP53 (Resveratrol), FN1 and MAPK1
(Gnetin C), SERPINE1 and VEGFA (Oleic Acid). The results from the analysis of the
binding affinity a target protein obtained the best binding affinity for cancer proteins, namely
Gnetin C with FN1 with a docking score of -10.8 kcal/mol. The best affinity for SARS CoV2 protein after Remdesivir was for Resveratrol and Nsp3 with a docking score of -7.4
kcal/mol.

Conclusion: The results showed that the active compounds Resveratrol and Gnetin C had
good potential in inhibiting cervical cancer protein and SARS CoV-2 with a lower docking
score compared to the comparison drug

Keywords: Gnetum gnemon L, bioinformatic modeling, cervical cancer, SARS CoV-2