ABSTRACT
Objectives: West Nile virus (WNV) belongs to the Flaviviridae family and causes West Nile fever. The mechanism of transmission involves the culex mosquito species. Infected individuals are primarily asymptomatic, and few exhibit common symptoms. Moreover, 10 % of neuronal infection caused by this virus cause death. The proteins encoded by these genes had been uncharacterized, although understanding their function and structure is important for formulating antiviral drugs. Methods: Herein, we used in silico approaches, including various bioinformatic tools and databases, to analyse the proteins from the WNV polyprotein individually. The characterization included GC content, physicochemical properties, conserved domains, soluble and transmembrane regions, signal localization, protein disorder, and secondary structure features and their respective 3D protein structures. Results: Among 11 proteins, eight had >50 % GC content, eight proteins had basic pI values, three proteins were unstable under in vitro conditions, four were thermostable according to >100 AI values and some had negative GRAVY values in physicochemical analyses. All protein-conserved domains were shared among Flaviviridae family members. Five proteins were soluble and lacked transmembrane regions. Two proteins had signals for localization in the host endoplasmic reticulum. Non-structural (NS) 2A showed low protein disorder. The secondary structural features and tertiary structure models provide a valuable biochemical resource for designing selective substrates and synthetic inhibitors. Conclusions: WNV proteins NS2A, NS2B, PM, NS3 and NS5 can be used as drug targets for the pharmacological design of lead antiviral compounds.
ABSTRACT
Potentilla nepalensis belongs to the Rosaceae family and has numerous therapeutic applications as potent plant-based medicine. Forty phytoconstituents (PCs) from the root and stem through n-hexane (NR and NS) and methanolic (MR and MS) extracts were identified in earlier studies. However, the PCs affecting human genes and their roles in the body have not previously been disclosed. In this study, we employed network pharmacology, molecular docking, molecular dynamics simulations (MDSs), and MMGBSA methodologies. The SMILES format of PCs from the PubChem was used as input to DIGEP-Pred, with 764 identified as the inducing genes. Their enrichment studies have shown inducing genes' gene ontology descriptions, involved pathways, associated diseases, and drugs. PPI networks constructed in String DB and network topological analyzing parameters performed in Cytoscape v3.10 revealed three therapeutic targets: TP53 from MS-, NR-, and NS-induced genes; HSPCB and Nf-kB1 from MR-induced genes. From 40 PCs, two PCs, 1b (MR) and 2a (MS), showed better binding scores (kcal/mol) with p53 protein of -8.6 and -8.0, and three PCs, 3a, (NR) 4a, and 4c (NS), with HSP protein of -9.6, -8.7, and -8.2. MDS and MMGBSA revealed these complexes are stable without higher deviations with better free energy values. Therapeutic targets identified in this study have a prominent role in numerous cancers. Thus, further investigations such as in vivo and in vitro studies should be carried out to find the molecular functions and interlaying mechanism of the identified therapeutic targets on numerous cancer cell lines in considering the PCs of P. nepalensis.
