Molecular docking study of Zingiber officinale Roscoe compounds as a mumps virus nucleoprotein inhibitor

Background: Mumps virus (MuV) can trigger severe infections, such as parotitis, epididymo-orchitis, and meningitis. The effectiveness of MuV vaccine administration has been proven, but current outbreaks warrant the development of antivirals against MuV. Zingiber officinale var. Roscoe or ginger is often used as an alternative remedy. Currently, there are no known in vitro or in vivo studies that investigate ginger as an MuV antiviral. Purpose: This study aims to evaluate the antiviral potency of the bioactive compounds in Zingiber officinale var. Roscoe against MuV. Methods: Antiviral activity screening was conducted by druglikeness analysis, antiviral probability, molecular docking, and molecular dynamic simulation. Results: As an antiviral, 6-shogaol from Zingiber officinale var. Roscoe has potency against MuV. It has a good binding affinity and can establish interactions with the binding domain of the target protein by forming hydrogen, Van der Waals, and alkyl bonds. Conclusion: The complex of 6-shogaol_NP was predicted to be volatile but stable for triggering inhibitory activity. However, these results must be proved by in vivo and in vitro approaches to strengthen the scientific evidence

Herbal combination from Moringa oleifera Lam. and Curcuma longa L. as SARS-CoV-2 antiviral via dual inhibitor pathway: A viroinformatics approach

Context: The COVID-19 outbreak is caused by the transmission and infection of SARS-CoV-2 at the end of 2019. It has led many countries to implement lockdown policies to prevent the viral spreading. Problems arise in a COVID-19 patient because of viral infection that leads to a systemic response in the immune system, specifically due to cytokine storm. Moreover, the antiviral drugs that have not been found. Indonesia had a variety of traditional medicines, such as is ‘jamu’. It consists of a mixture of natural ingredients such as Moringa oleifera Lam. and Curcuma longa L. Aims: To identify the activity of dual inhibitors as antiviral and anti-inflammatory agents from herbal combination compounds. Methods: Sample was collected from PubChem (NCBI, USA) and Protein Data Bank (PDB), then drug-likeness analysis using Lipinski rule of five in SCFBIO web server and bioactive probability analysis of bioactive compounds were conducted by PASS web server. Furthermore, the blind docking method was performed using PyRx 0.8 software to determine the binding activity and molecular interaction by PoseView web server and PyMol software v2.4.1 (Schrödinger, Inc, USA). Results: Cryptochlorogenic acid and curcumin have been computationally proven as dual inhibitors for antivirals by inhibiting Mpro SARS-CoV-2 and as anti-inflammatory through inhibition of NFKB1 activity. However, the results are merely computational so that it must be validated through a wet lab research. Conclusions: The combination of Moringa oleifera Lam. and Curcuma longa L. is predicted to have antiviral and anti-inflammatory activity through dual inhibitor mechanism played by cryptochlorogenic acid and curcumi

Exploration of Potentially Bioactive Compounds from Fingerroot (Boesenbergia rotunda L.) as Inhibitor of Atherosclerosis-Related Proteins (CETP, ACAT1, OSC, sPLA2): An in silico Study

Boesenbergia rotunda L., commonly known as fingerroot, is recognized as one of Indonesia's medicinal plants with significant potential for treating various diseases, including atherosclerosis. This study aims to analyze the anti-atherosclerosis potential of bioactive compounds found in fingerroot by assessing their inhibitory effects on four proteins associated with atherosclerosis (CETP, ACAT1, OSC, and sPLA2). Bioactive compounds from B. rotunda were retrieved from the KnapSack database. The drug-likeness properties were predicted using the SwissADME web server, and the bioactivity of the compounds was assessed using the PASSOnline server. The identification of active sites on proteins and the validation of protein structures were performed using the SCFBio web server and Autodock Vina. Specific docking simulations between fingerroot compounds and the target proteins were carried out using AutoDock Vina. The analysis revealed that fingerroot contains 20 bioactive compounds with favorable drug-like properties. Among these, dihydrochrysin, sakuranetin, isopimaric acid, 2S-pinocembrin, 5,7-dihydroxy-8-C-geranylflavanone, 7,4'-dihydroxy-5-methoxyflavanone, and 5,7-dihydroxy-8,7-methoxy-5-hydroxy-8-geranylflavanone were predicted to exhibit anti-atherosclerosis activities. In the interactions with CETP, rubranine and (-)-4-hydroxypanduratin A showed the lowest binding affinity scores. Meanwhile, in interactions with ACAT1, OSC, and sPLA2, rubranine and 5,7-dihydroxy-8-C-geranylflavanone displayed the lowest binding affinities. In conclusion, fingerroot exhibits high potential as an anti-atherosclerosis agent through the inhibition of four proteins associated with atherosclerosis, as predicted through in silico analysis