Pathway analysis of host responses to dengue virus serotype 2 infection and inhibition of viral envelope protein by naringenin from Ganoderma lucidum.

Dengue fever cases are spiking over the last two decades. Incessant efforts are still being made to gain deeper insights on this arboviral disease and to identify bioactive antivirals. In this study, bioinformatics analysis was conducted to identify the differentially expressed genes (DEGs) in the expression profiling datasets of dengue virus serotype 2 (DENV2) patients. We found overexpressed genes in dengue patients that can interrupt cell cycle progression and phase transitions of mitosis inside the host to favour the viral replication process. These DEGs were associated with the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways such as cell cycle and DNA replication. A protein interaction network consisting of these significant pathways was also constructed using STRING. Futher, the traditional Chinese medicine (TCM) compounds from Ganoderma lucidum were screened to target DENV2 envelope protein, which was crucial for viral fusion activity. Docking, orbital energy, and toxicity prediction analysis revealed that naringenin was the best antiviral candidate. Following molecular dynamics simulations, the predicted binding energy of the protein-naringenin system using the molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) approach was slightly greater than the control system. It is recommended to perform in vitro inhibition of naringenin against DENV2 and use our findings to complement the experimental data obtained.

The identification of active compounds in Ganoderma lucidum var. antler extract inhibiting dengue virus serine protease and its computational studies.

The number of global dengue incidences is alarmingly high in recent years. The global distribution of four dengue serotypes has also added economic burden in the dengue-endemic countries. To discover the potent dengue virus inhibitors in the antler form of Ganoderma lucidum (Lingzhi or Reishi), the water extraction of normal G. lucidum and its antler form were conducted and the chemical compounds were identified by LC-MS. Six distinct chemical compounds identified in high abundance were hesperetin, thymidine, lucidenic acid, 11-aminoundecanoic acid, 5-carboxyvanillic acid and ganocin B. The water extracts of G. lucidum in its antler form inhibited the DENV2 NS2B-NS3 protease activity at 84.6 ± 0.7%, higher than the normal G. lucidum. Then, molecular docking was performed on the homology model built from an in-house sequence. Docking simulation results showed that hesperetin and ganocin B were the best leads to bind at the catalytic triad of DENV2 NS2B-NS3pro via hydrogen bonding, van der Waals and pi-pi interactions. Extensive overlapping of HOMO-LUMO orbitals at the ringed regions of hesperetin helped to facilitate the entry of ligand to the catalytic triad cleft. LC-MS, molecular docking and density functional theory analyses confirmed that hesperetin was the strongest inhibitor against NS2B-NS3 protease. Communicated by Ramaswamy H. Sarma.

Targeting Heat Shock Proteins 60 and 70 of Toxoplasma gondii as a Potential Drug Target: In Silico Approach.

Heat shock proteins (Hsps) 60 and 70 are postulated as a potential drug target for toxoplasmosis due to its importance in the developmental and survival of Toxoplasma gondii (T. gondii). As of today, there have been no reports on three-dimensional (3D) structure of Hsp60 and Hsp70 deposited in the Brookhaven Protein Data Bank. Hence, this study was conducted to predict 3D structures for Hsp60 and Hsp70 in T. gondii by homology modeling. Selection of the best predicted model was done based on multiple scoring functions. In addition, virtual screening was performed to short-list chemical compounds from the National Cancer Institute (NCI) Diversity Set III in search of potential inhibitor against Hsp60 and Hsp70 in T. gondii. Prior to virtual screening, binding sites of Hsp60 and Hsp70 were predicted using various servers and were used as the center in docking studies. The Hsps were docked against known natural ligands to validate the method used in estimating free energy of binding (FEB) and possible interactions between ligand and protein. Virtual screening was performed with a total of 1560 compounds from the NCI Diversity Set III. The compounds were ranked subsequently according to their FEB. Molecular basis of interactions of the top five ranked compounds was investigated using Ligplot+. The major interactions exhibited were hydrogen bonding and hydrophobic interactions in binding to Hsp60 and Hsp70. The results obtained provided information and guidelines for the development of inhibitors for Hsp60 and Hsp70 in T. gondii.

Molecular dynamics of thermoenzymes at high temperature and pressure: a review.

Lipases are known for their versatility in addition to their ability to digest fat. They can be used for the formulation of detergents, as food ingredients and as biocatalysts in many industrial processes. Because conventional enzymes are frangible at high temperatures, the replacement of conventional chemical routes with biochemical processes that utilize thermostable lipases is vital in the industrial setting. Recent theoretical studies on enzymes have provided numerous fundamental insights into the structures, folding mechanisms and stabilities of these proteins. The studies corroborate the experimental results and provide additional information regarding the structures that were determined experimentally. In this paper, we review the computational studies that have described how temperature affects the structure and dynamics of thermoenzymes, including the thermoalkalophilic L1 lipase derived from Bacillus stearothermophilus. We will also discuss the potential of using pressure for the analysis of the stability of thermoenzymes because high pressure is also important for the processing and preservation of foods.