Abstract

Terminalia chebula Retz. forms a key component of traditional folk medicine and is also reported to possess antihepatitis C virus (HCV) and immunomodulatory activities. However, information on the intermolecular interactions of phytochemicals from this plant with HCV and human proteins are yet to be established. Thus, by this current study, we investigated the HCV NS3/4A inhibitory and host immune-modulatory activity of phytocompounds from T. chebula through in silico strategies involving network pharmacology and structural bioinformatics techniques. To start with, the phytochemical dataset of T. chebula was curated from biological databases and the published literature. Further, the target ability of the phytocompounds was predicted using BindingDB for both HCV NS3/4A and other probable host targets involved in the immune system. Further, the identified targets were docked to the phytochemical dataset using AutoDock Vina executed through the POAP pipeline. The resultant docked complexes with significant binding energy were subjected to 50 ns molecular dynamics (MD) simulation in order to infer the stability of complex formation. During network pharmacology analysis, the gene set pathway enrichment of host targets was performed using the STRING and Reactome pathway databases. Further, the biological network among compounds, proteins, and pathways was constructed using Cytoscape 3.6.1. Furthermore, the druglikeness, side effects, and toxicity of the phytocompounds were also predicted using the MolSoft, ADVERpred, and PreADMET methods, respectively. Out of 41 selected compounds, 10 were predicted to target HCV NS3/4A and also to possess druglike and nontoxic properties. Among these 10 molecules, Chebulagic acid and 1,2,3,4,6-Pentagalloyl glucose exhibited potent HCV NS3/4A inhibitory activity, as these scored a lowest binding energy (BE) of −8.6 kcal/mol and −7.7 kcal/mol with 11 and 20 intermolecular interactions with active site residues, respectively. These findings are highly comparable with Asunaprevir (known inhibitor of HCV NS3/4A), which scored a BE of −7.4 kcal/mol with 20 key intermolecular interactions. MD studies also strongly suggest that chebulagic acid and 1,2,3,4,6-Pentagalloyl glucose as promising leads, as these molecules showed stable binding during 50 ns of production run. Further, the gene set enrichment and network analysis of 18 protein targets prioritized 10 compounds and were predicted to potentially modulate the host immune system, hemostasis, cytokine levels, interleukins signaling pathways, and platelet aggregation. On overall analysis, this present study predicts that tannins from T. chebula have a potential HCV NS3/4A inhibitory and host immune-modulatory activity. However, further experimental studies are required to confirm the efficacies.

Highlights

  • Network ConstructionCytoscape v3.6.1 software [52] was utilized to construct the phytocompound–proteinpathway network

  • Gene Count 601 22 39 2605 437 256 20 22 654 37 439 1925Genes within Pathway F10, F11, F2, LCK, PLAT, PLAU, PTPN1, SERPINE1 F10, F11, F2F10, F11, F2 F2, HSP90AA1, LCK, PDK1, PLAT, PTPN1, PTPN2, RGS4, RGS7, RGS8, SERPINE1 HSP90AA1, LCK, PLAT, PTPN1, PTPN2F2, LCK, PTPN1, SERPINE1F10, F2 GSTO1, HSP90AA1, LCK, PTPN1, PTPN2 F2, PTPN1GSTO1, HSP90AA1, LCK, PTPN2F2, GSTO1, HSP90AA1, LCK, PLAU, PTPN1, PTPN23.4

  • The present study employed target prediction using an experimentally determined drug–target interaction database, molecular pathways analysis by gene set enrichment and network pharmacology, compound–protein interactions by molecular docking, and molecular dynamics studies to identify the key ingredients from T. chebula with potential to inhibit HCV NS3/4A with immune-modulatory activity

Read more

Summary

Network Construction

Cytoscape v3.6.1 software [52] was utilized to construct the phytocompound–proteinpathway network. The structural coordinates of phytocompounds and Asunaprevir (a known inhibitor) were downloaded in .sdf format from PubChem (https://pubchem.ncbi.nlm.nih.gov/ Accessed on 15 September 2020). Clashes within ligand atoms, and to produce a reasonable staring pose during docking, each compound was energy minimized by applying the mmff force field using Open Babel. The 3D X-ray crystallographic structure of HCV NS3/4A (PDB ID: 4WF8) was retrieved from RCSB PDB (https://www.rcsb.org/ Accessed on 15 September 2020) and was refined by a two-step atomic-level energy minimization using ModRefiner (https://zhanglab.ccmb.med.umich.edu/ ModRefiner/ Accessed on 15 September 2020). The PROCHECK Ramachandran plot was utilized to check the plausibility of the structure (https://servicesn.mbi.ucla.edu/PROCHECK Accessed on 15 September 2020). The overall quality factor was checked by the ERRAT scoring (https://servicesn.mbi.ucla.edu/ERRAT/ Accessed on 15 September 2020)

Assessment of Active Site Residues
Protein–Ligand Docking
Retrieval of Phytocompounds and Target Identification
Gene Set Enrichment Analysis and Network Analysis
Protein Quality Check and Stability Analysis by Molecular Dynamics Simulation
C34 H26 O22
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call