Chitosan nanoparticle and its effect on Neoscytalidium novaehollandiae, the causal agent of mulberry canker in Tehran.

Fungal pathogen "Neoscytalidium novaehollandiae" is the causal agent of trunk canker in mulberry trees. Mulberry is considered as most valuable tree for landscaping in Tehran. Here in, for the first time, chitosan nanoparticles (CSNPs) were used to inhibit canker disease causal agent of mulberry. For this purpose, CSNPs were synthesized with a yield of 86%, and after characterization of the synthesized nanoparticles, the growth inhibition rate of fungus (GI%) was evaluated. The results of in vitro assays showed that the concentration of 1500 ppm significantly (P ≤ 0.05) decreased the radial growth of the fungus in comparison with control. For in vivo experiments, 2-year-old branches from healthy randomly selected mulberry trees in the landscape, were inoculated artificially in the laboratory with mycelial plugs from a 7-day-old culture of fungus. The infected branches were then treated with 500, 1000, and 1500 ppm of CSNPs. The results indicated that the disease severity (DS%) in all the treatments and the control plants increased over time. However, the slope of the changes in DS was less in CSNPs treated compared to control. This effect was concentration dependent so that no disease progress was observed at 1500 ppm of CSNPs. The findings indicate the effectiveness of CSNPs in control of canker disease of mulberry caused by N. novaehollandiae.

Navigating the future: Microfluidics charting new routes in drug delivery.

Microfluidics has emerged as a transformative force in the field of drug delivery, offering innovative avenues to produce a diverse range of nano drug delivery systems. Thanks to its precise manipulation of small fluid volumes and its exceptional command over the physicochemical characteristics of nanoparticles, this technology is notably able to enhance the pharmacokinetics of drugs. It has initiated a revolutionary phase in the domain of drug delivery, presenting a multitude of compelling advantages when it comes to developing nanocarriers tailored for the delivery of poorly soluble medications. These advantages represent a substantial departure from conventional drug delivery methodologies, marking a paradigm shift in pharmaceutical research and development. Furthermore, microfluidic platformsmay be strategically devised to facilitate targeted drug delivery with the objective of enhancing the localized bioavailability of pharmaceutical substances. In this paper, we have comprehensively investigated a range of significant microfluidic techniques used in the production of nanoscale drug delivery systems. This comprehensive review can serve as a valuable reference and offer insightful guidance for the development and optimization of numerous microfluidics-fabricated nanocarriers.

Proposing of fungal endophyte secondary metabolites as a potential inhibitors of 2019-novel coronavirus main protease using docking and molecular dynamics.

In this study, the inhibitory potential of 99 fungal derived secondary metabolites was predicted against SARS-CoV-2 main protease by using of computational approaches. This protein plays an important role in replication and is one of the important targets to inhibit viral reproduction. Among the 99 reported compounds, the 9 of them with the highest binding energy to Mpro obtained from the molecular docking method were selected for the molecular dynamic simulations. The compounds were then investigated by using the SwissADME serve to evaluate the compounds in terms of pharmacokinetic and druglikness properties. The overall results of different analysis show that the compound RKS-1778 is potentially more effective than others and form strong complexes with viral protease. It also had better pharmacokinetic properties than other metabolites, so predicted to be a suitable candidate as anti SARS-CoV-2 bioactive.Communicated by Ramaswamy H. Sarma.

A comparative study of structural and catalytic activity alterations in firefly luciferase induced by carbon quantum dots containing amine and carboxyl functional groups.

Despite of growing interest in use of carbon-based nanomaterials as carriers of functional proteins, less attention has been paid to the effects of these nanomaterials on the structure and function of the proteins. In this study, with the aim of shedding light on the mechanisms of interaction between carbon-based nanomaterials and proteins, the interactions of carbon quantum dots (CQDs) containing amine (CQD-NH2) or carboxyl groups (CQD-COOH) with Photinus pyralis firefly luciferase enzyme were investigated by experimental and computational approaches. The structural changes and reduction in activity of the luciferase upon treatment with CQDs were experimentally proved. CQD-NH2 induced more reduction in enzyme activity (15 %) compared to CQD-COOH (7.4 %). The interactions CQD-NH2 with luciferase led to higher affinity of the enzyme for its substrate. It was found by molecular dynamic simulations that CQD-NH2 binds to multiple regions on the surface of luciferase. Secondary structure analysis showed that CQD-NH2 had more profound effects on the active site amino acids, the adjacent amino acids to the active site and the residues involved in ATP binding site. In addition, CQD-NH2 interactions with luciferase were suggested to be stronger than CQD-COOH based on the number of hydrogen bonds and the binding energies.

Designing a novel multi-epitopes pan-vaccine against SARS-CoV-2 and seasonal influenza: in silico and immunoinformatics approach.

The merger of COVID-19 and seasonal influenza infections is considered a potentially serious threat to public health. These two viral agents can cause extensive and severe lower and upper respiratory tract infections with lung damage with host factors. Today, the development of vaccination has been shown to reduce the risk of hospitalization and mortality from the COVID-19 virus and influenza epidemics. Therefore, this study contributes to an immunoinformatics approach to producing a vaccine that can elicit strong and specific immune responses against COVID-19 and influenza A and B viruses. The NCBI, GISAID, and Uniprot databases were used to retrieve sequences. Linear B cell, Cytotoxic T lymphocyte, and Helper T lymphocyte epitopes were predicted using the online servers. Population coverage of MHC I epitopes worldwide for SARS-CoV-2, Influenza virus H3N2, H3N2, and Yamagata/Victoria were 99.93%, 68.67%, 68.38%, and 85.45%, respectively. Candidate epitopes were linked by GGGGS, GPGPG, and KK linkers. Different epitopes were permutated several times to form different peptides and then screened for antigenicity, allergenicity, and toxicity. The vaccine construct was analyzed for physicochemical properties, conformational B-cell epitopes, interaction with Toll-like receptors, and IFN-gamma-induced. Immune stimulation response of final construct was evaluated using C-IMMSIM. Eventually, the final construct sequence was codon-optimized for Escherichia coli K12 and Homo sapiens to design a multi-epitope vaccine and mRNA vaccine. In conclusion, due to the variable nature of SARS-CoV-2 and influenza proteins, the design of a multi-epitope vaccine can protect against all their standard variants, but laboratory validation is required.Communicated by Ramaswamy H. Sarma.

Computational assessment of lipid facilitated membrane permeation of vancomycin using force-probe molecular dynamic simulation.

In this study the efficacy of different edible lipids for drug permeation enhancement of vancomycin through biological membrane was investigated using molecular dynamic simulation. In this regard, at first the ability of the lipids for complex formation with the drug was evaluated for number of most common edible lipids including tripalmitin (TPA), trimyristin (TMY), labrafil (LAB), glycerol monostearate (GMS), glycerol monooleate (GMO), Distearoylphosphorylethanolamine (DSPE), dipalmitoylphosphatidylethanolamine (DPPE), Dipalmitoylphosphatidylcholine (DPPC), cholesterol (CL), stearic acid (SA), palmitic acid (PA) and oleic acid (OA). Then the complexes were pulled thorough a bilayer membrane while the changes in force were probed. The results showed that besides the SA, PA and OA the other examined lipids were able to perform a perfect molecular complex with the drug. Also the results of pulling simulation revealed that the least of force was needed for drug transmittance through the membrane when it was covered by LAB, TMY and DSPE. These results indicated that these lipids can be the excellent materials of choice as permeation enhancer for preparing a proper oral formulation of vancomycin.Communicated by Ramaswamy H. Sarma.

Application of biomaterials and nanotechnology in corneal tissue engineering.

Corneal diseases are among the most common causes of blindness worldwide. Regardless of the etiology, corneal opacity- or globe integrity-threatening conditions may necessitate corneal replacement procedures. Several procedure types are currently available to address these issues, based on the complexity and extent of injury. Corneal allograft or keratoplasty is considered to be first-line treatment in many cases. However, a significant proportion of the world's population are reported to have no access to this option due to limitations in donor preparation. Thus, providing an appropriate, safe, and efficient synthetic implant (e.g., artificial cornea) may revolutionize this field. Nanotechnology, with its potential applications, has garnered a lot of recent attention in this area, however, there is seemingly a long way to go. This narrative review provides a brief overview of the therapeutic interventions for corneal pathologies, followed by a summary of current biomaterials used in corneal regeneration and a discussion of the nanotechnologies that can aid in the production of superior implants.

In silico designing and immunoinformatics analysis of a novel peptide vaccine against metallo-beta-lactamase (VIM and IMP) variants.

The rapid spread of acquired metallo-beta-lactamases (MBLs) among gram negative pathogens is becoming a global concern. Improper use of broad-spectrum antibiotics can trigger the colonization and spread of resistant strains which lead to increased mortality and significant economic loss. In the present study, diverse immunoinformatic approaches are applied to design a potential epitope-based vaccine against VIM and IMP MBLs. The amino acid sequences of VIM and IMP variants were retrieved from the GenBank database. ABCpred and BCPred online Web servers were used to analyze linear B cell epitopes, while IEDB was used to determine the dominant T cell epitopes. Sequence validation, allergenicity, toxicity and physiochemical analysis were performed using web servers. Seven sequences were identified for linear B cell dominant epitopes and 4 sequences were considered as dominant CD4+ T cell epitopes, and the predicted epitopes were joined by KK and GPGPG linkers. Stabilized multi-epitope protein structure was obtained using molecular dynamics simulation. Molecular docking showed that the designed vaccine exhibited sustainable and strong binding interactions with Toll-like receptor 4 (TLR4). Finally, codon adaptation and in silico cloning studies were performed to design an effective vaccine production strategy. Immune simulation significantly provided high levels of immunoglobulins, T helper cells, T-cytotoxic cells and INF-γ. Even though the introduced vaccine candidate demonstrates a very potent immunogenic potential, but wet-lab validation is required to further assessment of the effectiveness of this proposed vaccine candidate.

Designing multi-epitope vaccine against important colorectal cancer (CRC) associated pathogens based on immunoinformatics approach.

BACKGROUND: It seems that several members of intestinal gut microbiota like Streptococcus bovis, Bacteroides fragilis, Helicobacter pylori, Fusobacterium nucleatum, Enterococcus faecalis, Escherichia coli, Peptostreptococcus anaerobius may be considered as the causative agents of Colorectal Cancer (CRC). The present study used bioinformatics and immunoinformatics approaches to design a potential epitope-based multi-epitope vaccine to prevent CRC with optimal population coverage. METHODS: In this study, ten amino acid sequences of CRC-related pathogens were retrieved from the NCBI database. Three ABCpred, BCPREDS and LBtope online servers were considered for B cells prediction and the IEDB server for T cells (CD4+ and CD8+) prediction. Then, validation, allergenicity, toxicity and physicochemical analysis of all sequences were performed using web servers. A total of three linkers, AAY, GPGPG, and KK were used to bind CTL, HTL and BCL epitopes, respectively. In addition, the final construct was subjected to disulfide engineering, molecular docking, immune simulation and codon adaptation to design an effective vaccine production strategy. RESULTS: A total of 19 sequences of different lengths for linear B-cell epitopes, 19 and 18 sequences were considered as epitopes of CD4+ T and CD8+ cells, respectively. The predicted epitopes were joined by appropriate linkers because they play an important role in producing an extended conformation and protein folding. The final multi-epitope construct and Toll-like receptor 4 (TLR4) were evaluated by molecular docking, which revealed stable and strong binding interactions. Immunity simulation of the vaccine showed significantly high levels of immunoglobulins, helper T cells, cytotoxic T cells and INF-γ. CONCLUSION: Finally, the results showed that the designed multi-epitope vaccine could serve as an excellent prophylactic candidate against CRC-associated pathogens, but in vitro and animal studies are needed to justify our findings for its use as a possible preventive measure.

Determining the stoichiometry and binding constant of Lamotrigine with human serum albumin using voltammetry analysis and molecular modeling.

In this study, the interaction of an anticonvulsant drug that used in the treatment of epilepsy, Lamotrigine (LTG) with the most important transport protein of the blood, human serum albumin (HSA) has been studied by using the electrochemical methods and molecular modeling techniques. For this purpose, a simple carbon paste electrode (CPE) was applied for electrocatalytic oxidation and investigation of LTG interaction with HSA. The stoichiometry of the complex between LTG and HSA and the binding constant (Kb) of the reaction were calculated from the calibration curves. The results show that binding of LTG to HSA formed two complexes with different stoichiometries with Kb1 (2.46 × 103) and Kb2 (1.75 × 107), respectively. In agreement with the experimental data, molecular modeling approach also confirmed that LTG can bind to the subdomain IIA and IB of HSA.Communicated by Ramaswamy H. Sarma.

Screening of honey bee pollen constituents against COVID-19: an emerging hot spot in targeting SARS-CoV-2-ACE-2 interaction.

The attachment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike to angiotensin-converting enzyme 2 (ACE-2) leads the cell fusion process, so spike blockade may be a promising therapy combating COVID-19. Bee pollen bioflavonoids with intrinsic bioactivities are of outmost importance to block SARS-CoV-2-ACE-2 interaction. Herein, we conducted a molecular docking assessment through natural phenolics/non-phenolics of pollen to investigate their affinity against SARS-CoV-2 spike. Finally, kaempferol 3-neohesperidoside 7-O-rhamnoside (compound a), quercetin 7-rhamnoside (compound b), delphinidin-3-O-(6-p-coumaroyl) glucoside (compound c), and luteolin-7-O-6″-malonylglucoside (compound d) showed the lowest binding affinity of -8.1, -7.7, -7.3 and -6.7 kcal/mol. The docking procedure was validated using protein-protein interactions between ACE-2 and SARS-CoV-2 RBD via HADDOCK webserver. MD simulations were fulfilled to investigate different ligands' effects on protein movements. Collectively, compound a may possess the potency to disturb the binding of SARS-CoV-2 spike-ACE-2, which can be on the call for further in vitro and in vivo study to investigate its antiviral potential against SARS-CoV-2.

Neuroprotective effect of naringenin-loaded solid lipid nanoparticles against streptozocin-induced neurotoxicity through autophagy blockage.

Autophagy is a pivotal contributing factor to modulate the progression of neurodegenerative diseases. Although naringenin (Nar) has shown beneficial effects against neurodegenerative diseases, its poor solubility and bioavailability have limited its application. The present research aimed to design a nanostructured formulation of Nar to achieve an enhanced therapeutic effect. Herein, Nar-loaded solid lipid nanoparticles (Nar-SLNs) were prepared and characterized. Then, PC12 cells were exposed to streptozocin (STZ) and/or Nar and Nar-SLNs in vitro to clarify the protective effect of Nar and its nanoformulation against STZ-stimulated neurotoxicity. The empty SLNs and Nar-SLNs indicated a narrow polydispersity index value with a negative zeta potential. As determined by the scanning electron microscopy images, the nanoparticles had a spherical shape and were less than 20 nm in size. FTIR results demonstrated the interaction between Nar and SLNs and supported the presence of Nar in the nanoparticle. The nanoformulation revealed an initial burst release followed by a sustained release manner. Treatment of PC12 cells with STZ resulted in mitochondrial dysfunction and increased autophagic markers, including LC3-II, Beclin1, Akt, ATG genes, and accumulation of miR-21 and miR-22. Both Nar and Nar-SLNs pre-treatment improved cell survival and augmented mitochondrial membrane potential, accompanied by reduced autophagic markers expression. However, Nar-SLNs were more effective than free Nar. As a result, our findings suggested that SLNs effectively enhance the neuroprotective effect of Nar, and Nar-SLNs may be a promising candidate to suppress or prevent STZ-elicited neurotoxicity. PRACTICAL APPLICATIONS: According to the beneficial effect of Nar in the management of neurodegenerative diseases, we evaluated the protective effect of Nar and Nar-SLNs against STZ-stimulated neurotoxicity and analyzed the role of autophagy in STZ-stimulated neurotoxicity. Our results proposed that Nar-SLNs could be a promising option for neurological disorders prevention through autophagy suppression.

Simultaneous removal of cationic and anionic dyes from simulated industrial effluents using a nature-inspired adsorbent.

Alginate-grafted polyaniline (Alg-g-PANI) microparticles were synthesized through the grafting of aniline onto functionalized Alg followed by double crosslinking by glutaraldehyde and calcium chloride. The performance of the developed microparticles as adsorbent in simultaneous removal of malachite green (MG) and congo red (CR) dyes were examined by the batch method. Experimental parameters, including adsorbent amount, pH, initial dyes concentrations, and contact time were optimized. Langmuir and Freundlich adsorption models were employed to explore the equilibrium isotherm. As the Langmuir model results, the maximum adsorption capacities (Qm) of microparticles for the MG and CR dyes were obtained as 578.3 and 409.6 mgg-1, respectively. Adsorption kinetics for both dyes were well-fitted with the pseudo-second-order model that confirm the rate-limiting step might be the chemical adsorption. The adsorbent was regenerated via desorption process and was reusable five times without a substantial decrease in its adsorption efficacy in first three cycles. Adsorbent-dyes interactions were computationally evaluated using Gromacs package, and it was found that both MG and CR are able to interact strongly with the adsorbent. In accordance with experimental results, simulation data revealed that MG can be removed more efficiently than those of the CR. As the experimental results, we could conclude that the synthesized Alg-g-PANI microparticles can be used as a nature-inspired adsorbent for simultaneous removals of CR and MG dyes.

Inhibition of SARS-CoV-2 pathogenesis by potent peptides designed by the mutation of ACE2 binding region.

The outbreak of COVID-19 has resulted in millions of deaths. Despite all attempts that have been made to combat the pandemic, the re-emergence of new variants complicated SARS-CoV-2 eradication. The ongoing global spread of COVID-19 demands the incessant development of novel agents in vaccination, diagnosis, and therapeutics. Targeting receptor-binding domain (RBD) of spike protein by which the virus identifies host receptor, angiotensin-converting enzyme (ACE2), is a promising strategy for curbing viral infection. This study aims to discover novel peptide inhibitors against SARS-CoV-2 entry using computational approaches. The RBD binding domain of ACE2 was extracted and docked against the RBD. MMPBSA calculations revealed the binding energies of each residue in the template. The residues with unfavorable binding energies were considered as mutation spots by OSPREY. Binding energies of the residues in RBD-ACE2 interface was determined by molecular docking. Peptide inhibitors were designed by the mutation of RBD residues in the virus-receptors complex which had unfavorable energies. Peptide tendency for RBD binding, safety, and allergenicity were the criteria based on which the final hits were screened among the initial library. Molecular dynamics simulations also provided information on the mechanisms of inhibitory action in peptides. The results were finally validated by molecular docking simulations to make sure the peptides are capable of hindering virus-host interaction. Our results introduce three peptides P7 (RAWTFLDKFNHEAEDLRYQSSLASWN), P13 (RASTFLDKFNHEAEDLRYQSSLASWN), and P19 (RADTFLDKFNHEAEDLRYQSSLASWN) as potential effective inhibitors of SARS-CoV-2 entry which could be considered in drug development for COVID-19 treatment.

A molecular dynamics study on using of naturally occurring polymers for structural stabilization of erythropoietin at high temperature.

Today the nano drug delivery systems are among the hot topics in drug design and pharmacy studies. Extensive researches are conducted worldwide for obtaining more effective therapeutics and screen the best drug carrier in-vivo and in-vitro. Considering the high cost of such experiments and the ethical issues linked with in-vivo studies, the in-silico analysis provides the time and cost-effective opportunity to evaluation of physiochemical properties and the interactions between drugs and their carriers. In this study using molecular dynamics (MD) simulation, five commonly used biodegradable biopolymers in pharmaceutical formulations including Chitosan, Alginate, Cyclodextrin, Hyaluronic Acid, and Pectin were investigated as proper carriers for the erythropoietin (EPO) in heat stress. The EPO was simulated in different temperatures of 298 and 343 K and the ability of polymers for temperature stabilization of the protein was evaluated comparatively. Overall, the results obtained in this study suggest that the pectin polysaccharide is the preferable carrier than others in term of protein stability in high temperatures and using for the delivery of erythropoietin.Communicated by Ramaswamy H. Sarma.

In silico evaluation of COVID-19 main protease interactions with honeybee natural products for discovery of high potential antiviral compounds.

This research investigates antiviral potential of extracted honeybee products against COVID-19 main protease (Mpro) by computational methods. The crystal structure of COVID-19 Mpro was obtained from the protein data bank. Six synthetic drugs with antiviral properties were used as control samples in order to compare the results with those of natural ligands. The six honeybee components, namely 3,4,5-Tricaffeoylquinic acid, Kaempferol-3-O-glucoside, (E)-2'-Geranyl-3',4',7-Trihydroxyflavanone, 6-Cinnamylchrysin, (+)-Pinoresinol, and (24E)-3-Oxo-27,28-dihydroxycycloart-24-en-26-oic acid, have represented the lowest binding energies of -9.0, -8.5, -8.2, -7.8, -7.7, -7.3 and -6.7 Kcal/mol, respectively. These natural inhibitors were then picked for further investigations on their pharmacokinetic features. Also a 150 ns of Molecular dynamics simulations were carried out in order to evaluate their effects on protein structure and dynamics. The 3, 4, 5-Tricaffeoylquinic acid is hopefully proposed for COVID-19 Mpro inhibition if further in vitro, in vivo, and clinical trial studies will approve its effectiveness against COVID-19.

In silico investigation on the inhibitory effect of fungal secondary metabolites on RNA dependent RNA polymerase of SARS-CoV-II: A docking and molecular dynamic simulation study.

The newly emerged Coronavirus Disease 2019 (COVID-19) rapidly outspread worldwide and now is one of the biggest infectious pandemics in human society. In this study, the inhibitory potential of 99 secondary metabolites obtained from endophytic fungi was investigated against the new coronavirus RNA-dependent RNA polymerase (RdRp) using computational methods. A sequence of blind and targeted molecular dockings was performed to predict the more potent compounds on the viral enzyme. In the next step, the five selected compounds were further evaluated by molecular dynamics (MD) simulation. Moreover, the pharmacokinetics of the metabolites was assessed using SwissADME server. The results of molecular docking showed that compounds 18-methoxy cytochalasin J, (22E,24R)-stigmasta-5,7,22-trien-3-ß-ol, beauvericin, dankasterone B, and pyrrocidine A had higher binding energy than others. The findings of MD and SwissADME demonstrated that two fungal metabolites, 18-methoxy cytochalasin J and pyrrocidine A had better results than others in terms of protein instability, strong complex formation, and pharmacokinetic properties. In conclusion, it is recommended to further evaluate the compounds 18-methoxy cytochalasin J and pyrrocidine A in the laboratory as good candidates for inhibiting COVID-19.

Development of Ag nanoparticle-carbon quantum dot nanocomplex as fluorescence sensor for determination of gemcitabine.

Gemcitabine hydrochloride is an established chemotherapeutic agent in several solid tumors. In spite of outstanding therapeutic efficacy, there are some serious fetal side effects with gemcitabine in higher concentrations which necessitate developing a sensitive sensor for its quantification. Herein, a fluorescent metal-nanoparticles conjugated carbon quantum dot (MN-CQD) was prepared by a mixture of citric acid/ammonia sulfate and different metals using hydrothermal method. Based on the primary experiments, the efficiency of Ag nanoparticle-CQDs for gemcitabine determination was found to be much better than others. The AgNp-CQDs fluorescence was quenched by gemcitabine anticancer drug via photo-induced charge transfer which renders the system into fluorescence "OFF" status. Under the experimental conditions, the linear range of detection was 0.003-0.1 µM in an aqueous solution with a correlation coefficient of 0.96 and a limit of detection equal to 0.002 µM. The relative standard deviation (RSD) for gemcitabine determination was 3.4% (n = 3). Finally, after optimizing the conditions, the concentration of analyte was determined in real samples including human plasma and urine. These results confirm that the as prepared fluorescence based nanosensor can be used for sensitive quantification of gemcitabine in real samples.

Interactions and effects of food additive dye Allura red on pepsin structure and protease activity; experimental and computational supports.

BACKGROUND AND PURPOSE: Today, color additives such as Allura red (AR) are widely used in different kinds of food products. Pepsin is a globular protein that is secreted as a digestive protease from the main cells in the stomach. Because of the important role of pepsin in protein digestion and because of its importance in digestive diseases the study of the interactions of pepsin with chemical food additives is important. EXPERIMENTAL APPROACH: In this study, the interactions between AR and pepsin were investigated by different computational and experimental approaches such as ultraviolet and fluorescence spectroscopy along with computational molecular modeling. FINDINGS/RESULTS: The experimental results of fluorescence indicated that AR can strongly quench the fluorescence of pepsin through a static quenching. Thermodynamic analysis of the binding phenomena suggests that van der Waals forces and hydrogen bonding played a major role in the complex formation. The results of synchronous fluorescence spectra and furrier transformed infra-red (FTIR) experiments showed that there are no significant structural changes in the protein conformation. Also, examined pepsin protease activity revealed that the activity of pepsin was increased upon ligand binding. In agreement with the experimental results, the computational results showed that hydrogen bonding and van der Waals interactions occurred between AR and binding sites. CONCLUSION AND IMPLICATIONS: From the pharmaceutical point of view, this interaction can help us to get a deeper understanding of the effect of this synthetic dye on food digestion.

Evaluation of the effects of isoniazid and rifampin on the structure and activity of pepsin enzyme by multi spectroscopy and molecular modeling methods.

Pepsin is an aspartic protease that is involved in the digestion of food in the stomach of mammals. Continuous and long-term use of therapeutic agents will cause chronic contact of the drug with pepsin, and as a result, the structure and function of enzyme may change. In this regard the interactions of isoniazid and rifampin as the first line treatments of tuberculosis with pepsin were investigated by various methods such as fluorescence spectroscopy, FTIR, molecular docking and molecular dynamics simulation. Based on the results obtained in this study, the mentioned drugs can form stable complexes with pepsin and the structure of protein changes slightly. According to the results, the major forces in the formation of the protein-drug complex are electrostatic and hydrophobic forces for isoniazid and rifampin respectively and isoniazid shows to form a stronger binding with protein. The FTIR spectrum of the protein shows that little change was occurred in the structure of pepsin in the presence of the drugs. Molecular modeling results of the binding of isoniazid and rifampin to the pepsin confirm laboratory results and show that the binding site of drugs is close to the active site of the enzyme. Also, the activity of pepsin in the presence of both drugs has significantly increased.