Comparison of structures among Saccharomyces cerevisiae Grxs proteins

Abstract Glutaredoxins (Grxs) comprise a group of glutathione (GSH)-dependent oxidoreductase enzymes that respond to oxidative stress and sustain redox homeostasis. Saccharomyces cerevisiae Grx has a similar interaction patterns through its residues between the residues and the environment. The glutaredoxin domain covers 100% of the entire mature Grx1 and Grx8, while the glutaredoxin domain covers ~ 52% of the entire mature Grx6 and Grx7, which have approximately 74 additional amino acids in their N-terminal regions, whereas Grx3 and Grx4 have two functional domains: glutaredoxin and thioredoxin. We have presented the prediction of disordered regions within these protein sequences. Multiple sequence alignment combined with a phylogenetic tree enabled us to specify the key residues contributing to the differences between Saccharomyces cerevisiae Grxs and the proportion symmetry

Important Factors Influencing Protein Crystallization

The solution of crystallization problem was introduced around twenty years ago, with the introduction of crystallization screening methods. Here reported some of the factors which affect protein crystallization, solubility, Concentration of precipitant, concentration of macromolecule, ionic strength, pH, temperature, and organism source of macromolecules, reducing or oxidizing environment,additives, ligands, presence of substrates, inhibitors, coenzymes, metal ions and rate of equilibration.The aim of this paper to give very helpful advice for crystallization.</p

Pinocembrin: A Novel Natural Compound with Versatile Pharmacological and Biological Activities

Pinocembrin (5,7-dihydroxyflavanone) is one of the primary flavonoids isolated from the variety of plants, mainly from Pinus heartwood, Eucalyptus, Populus, Euphorbia, and Sparattosperma leucanthum, in the diverse flora and purified by various chromatographic techniques. Pinocembrin is a major flavonoid molecule incorporated as multifunctional in the pharmaceutical industry. Its vast range of pharmacological activities has been well researched including antimicrobial, anti-inflammatory, antioxidant, and anticancer activities. In addition, pinocembrin can be used as neuroprotective against cerebral ischemic injury with a wide therapeutic time window, which may be attributed to its antiexcitotoxic effects. Pinocembrin exhibits pharmacological effects on almost all systems, and our aim is to review the pharmacological and therapeutic applications of pinocembrin with specific emphasis on mechanisms of actions. The design of new drugs based on the pharmacological effects of pinocembrin could be beneficial. This review suggests that pinocembrin is a potentially promising pharmacological candidate, but additional studies and clinical trials are required to determine its specific intracellular sites of action and derivative targets in order to fully understand the mechanism of its anti-inflammatory, anticancer, and apoptotic effects to further validate its medical applications

Exploring particulate methane monooxygenase (pMMO) proteins using experimentation and computational molecular docking

Researchers had difficulty studying pure full-length pMMO due to the solubility problem and loss of enzymatic activity after its elimination from the native membrane. To study pMMO, we performed several bioinformatics tools to analyze the entire structure of it available in the PDB database. We also carried out molecular docking studies to prove that quinone and duroquinone can bind to several sites of eight pMMO proteins. However, some sites in the orientation are not required by the catalysis process. Furthermore, molecular docking was done for predicting the binding affinity of P450 with target enzymes. Interestingly, our analysis illustrated that pMMO can produce methanol in the presence of quinone and duroquinone and the absence of Cu. Moreover, pmoB1 can interact with P450. Consequently, our findings highlight, for the first time, the significance of studying the membrane of pMMO to provide valuable insights into its functions

In Silico Study and Excito-Repellent Activity of Vitex negundo L. Essential Oil against Anopheles gambiae

(1) Background: Essential oil from Vitex negundo is known to have repellent and insecticidal properties toward the Anopheles gambiae and this is linked to its monoterpene and sesquiterpene content. In this work, an effort is made to delineate the constitution of V. negundo essential oil (VNEO) and their interaction with odorant-binding proteins (OBPs) of A. gambiae and hence access its repellent efficiency as cost-effective and safer malaria vector control alternatives. (2) Methods: Anopheles species authentication was performed by genomic DNA analysis and was subjected to behavioral analysis. GC-MS profiling was used to identify individual components of VNEO. Anopheles OBPs were obtained from the RCSB protein data bank and used for docking studies. Determination of ligand efficiency metrics and QSAR studies were performed using Hyper Chem Professional 8.0.3, and molecular dynamics simulations were performed using the Desmond module. (3) Results: GC-MS analysis of VNEO showed 28 compounds (monoterpenes, 80.16%; sesquiterpenes, 7.63%; and unknown constituents, 10.88%). The ligand efficiency metrics of all four ligands against the OBP 7 were within acceptable ranges. &beta;-selinene (&minus;12.2 kcal/mol), &beta;-caryophellene (&minus;9.5 kcal/mol), sulcatone (&minus;10.9 kcal/mol), and &alpha;-ylangene (&minus;9.3 kcal/mol) showed the strongest binding affinities for the target proteins. The most stable hydrophobic interactions were observed between &beta;-selinene (Phe111 and Phe120), Sulcatone (Phe54 and Phe120), and &alpha;-ylangene (Phe111), while only sulcatone (Tyr49) presented H-bond interactions in the simulated environment. (4) Conclusions: Sulcatone and &beta;-caryophyllene presented the best log p values, 6.45 and 5.20, respectively. These lead phytocompounds can be used in their purest as repellent supplement or as a natural anti-mosquito agent in product formulations

In-silico screening based on molecular simulations of 3,4-disubstituted pyrrolidine sulfonamides as selective and competitive GlyT1 inhibitors

A systematic in-silico study based on molecular modeling techniques was conducted on thirty 3,4-disubstituted pyrrolidine sulfonamides derivatives to identify the drug candidate for treating schizophrenia and impairments associated with NMDA receptor hypofunction, through selective and competitive inhibition of GlyT1. QSAR analysis demonstrates that geometric and constitutional descriptors have a key function in human GlyT1 activity. The in-silico study concluded that the most active ligand labeled C19 was predicted to be a non-toxic inhibitor, with a desired ADME-Toxicity profile and a significant probability to penetrate the central nervous system (CNS). Molecular docking simulations confirmed that the C19 compound was docked to the active sites of drosophila melanogaster dopamine transporter (DAT) protein, creating a variety of chemical bonds towards TYR 124, ASP 475, GLU 480, ALA 479, and VAL 120 amino acids residues. The molecular dynamic (MD) technique combined with the MMGBSA approach confirmed that produced intermolecular interactions for the (DAT protein–C19 ligand) complex remain so stable during 100 ns of MD simulation time. Consequently, the C19 ligand is highly recommended for the treatment of schizophrenia and other disabilities linked to the hypofunction of glutaminergic NMDA receptors

Study of Codon Usage Patterns and Influencing Factors in Rice Yellow Mottle Virus Based on Coding Sequence Data

Rice yellow mottle virus (RYMV), transmitted by chrysomelids, is one of the major viral pathogens that has devastated rice production in Sub-Saharan Africa. RYMV is a member of the genus Sobemoviruses in the family Solemoviridae and harbors a positive-sense single-stranded RNA (+ssRNA). Here, we used 50 RYMV strains, applying the codon usage bias (CUB). Both base content and relative synonymous codon usage (RSCU) analysis revealed that GC-ended codons were more frequently used in the genome of RYMV. Further low codon usage bias was observed from the effective number of codons (ENC) value. The neutrality plot analysis suggested the dominant factor of natural selection was involved in the structuring of CUB in RYMV. Based on RSCU values, the RYMV and its host relationship indicate that the RYMV develops codon usage patterns similar to its host. Generally, both natural selection and mutational pressure impact the codon usage pattern of the protein-coding genes in RYMV. This study is important because it characterized the codon usage pattern in the RYMV genomes and provided the necessary data for a basic evolutionary study on them. Additionally, we recommend that experiments such as whole genome sequencing (WGS) or dual RNA sequencing (DRS) should be considered in order to correlate these in-silico findings with viral diseases in the future

Additional file 1: of Structure analysis of yeast glutaredoxin Grx6 protein produced in Escherichia coli

Table S1. Site-directed mutagenesis primers. (DOCX 14 kb

MD Simulation Studies for Selective Phytochemicals as Potential Inhibitors against Major Biological Targets of Diabetic Nephropathy

Diabetes is emerging as an epidemic and is becoming a public health concern worldwide. Diabetic nephropathy is one of the serious complications of diabetes, and about 40% of individuals with diabetes develop diabetic nephropathy. The consistent feature of diabetes and its associated nephropathy is hyperglycemia, and in some cases, hyperamylinemia. Currently, the treatment includes the use of medication for blood pressure control, sugar control, and cholesterol control, and in the later stage requires dialysis and kidney transplantation, making the management of this complication very difficult. Bioactive compounds, herbal medicines, and extracts are extensively used in the treatment and prevention of several diseases, and some are reported to be efficacious in diabetes too. Therefore, in this study, we tried to identify the therapeutic potential of phytochemicals used in in silico docking and molecular dynamic simulation studies using a library of 5284 phytochemicals against the two potential targets of type 2 diabetes-associated nephropathy. We identified two phytochemicals (i.e., gentisic acid and michelalbine) that target human amylin peptide and dipeptidyl peptidase-4, respectively, with good binding affinity. These phytochemicals can be further evaluated using in vitro and in vivo studies for their anti-hyperglycemia and anti-hyperamylinemia effects