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The research deals with the isoflavone genistein production, followed by the β-glucosidase production from Aspergillus oryzae. The Cajanus cajan leaf extract was prepared and the optimized extraction parameters were leaf powder weight (1 g), agitation time (75 min), and temperature (60°C). The optimal conditions for β-glucosidase production by submerged fermentation were 0.4% (w/v) (NH4)2SO4 as nitrogen source, 0.05% (w/v) MgSO4 as magnesium source, 2 ml (v/v) size of inoculum, and 60 min incubation time. The Al2O3 nanocrystals (NCs) were synthesized by optimal volume of leaf extract (25 ml) and procurement period (50 min) along with Al2NO3 and NaOH. The β-glucosidase immobilization on Al2O3 NCs improved the specific activity from 2.38 ± 0.002 to 5.64 ± 0.07 U·mg−1. The maximum genistein production was achieved with the rate of biotransformation (48 h) and enzyme concentration (1% (v/v)) along with the substrate level. In fourier transform infrared spectroscopy analysis, the difference between both β-glucosidases free and Al2O3 immobilized was obtained with peaks at 1,120 and 2,150 cm−1. The X-ray diffraction analysis for the NCs was obtained from 10° to 80° with several intensities. and zeta potential size distribution was recorded at 16.2% of intensity with 206.4 d nm. After immobilization, the stability of the β-glucosidase was increased, thereby increasing its potential in the pharmaceutical, biofuel, food, and beverage industries.

Citronellyl acetate is a crucial component of flavor and fragrance in the food, cosmetic, and pharmaceutical sectors. In non-aqueous media, it can be successfully produced via lipase catalysis. This study focuses on the lipase-catalyzed trans-esterification of citronellol alcohol with geranyl acetate ester in a non-aqueous medium to produce citronellyl acetate. For the synthesis of citronellyl acetate, crude acetone powders isolated from several plant seedlings of black cumin, fenugreek, coriander, flax, and rape seed were examined for lipase activity. Black cumin seedling lipase had the highest level of citronella acetate production with a yield of 76.32% in 72 h of reaction time. To assess the impact of different reaction parameters on citronellyl acetate production in organic solvents, hexane was chosen as the best solvent, and black cumin seedling lipase was selected as the best biocatalyst. The highest conversion yield of ester (76.32%) was found when 0.25 M of geraniol acetate and 0.25 M of citronellol reacted at 41 oC after 72 h in the presence of 0.25 g of seedling lipase enzyme in n-hexane. It has been determined that crude black cumin seedling lipase is inexpensive yet effective and has the potential to be used industrially for the synthesis of terpene esters.

The purpose of this research was to examine the interaction between metabolites of Lactobacillus plantarum YW11, characterized through GC–mass spectra (MS) analysis, and the FN1 protein in cases of familial pulmonary fibrosis, found from hub genes analysis. GC–MS analysis was performed to identify metabolites in L. plantarum. Then, gene expression analysis and functional annotations were conducted to investigate the hub genes. A network of hub genes and transcription factors (TFs) was constructed, highlighting the significance of FN1 in the disease’s etiology. Molecular docking was employed to explore the interaction between the characterized metabolites and the FN1 protein. Toxicity analysis was also carried out. Thirty-two active compounds of L. plantarum YW11 were characterized by GC–MS. The gene expression analysis identified 295 differentially expressed genes, including 10 hub genes and 6 TFs, providing further support for the involvement of FN1 protein in the disease. The results of the molecular docking studies suggest the therapeutic potential of targeting FN1, with the best docking result observed for the interaction between FN1 and the 2,4-di-tert-butylphenol metabolite (energy of −6.9 kcal/mol). The toxicity analysis and molecular dynamic simulations support the suitability of 2,4-di-tert-butylphenol as a candidate for targeting FN1.

Epibulbar dermoid, benign tumors resulting from the improper function of the pathogenic protein Patched 1 (PTCH1), surgical interventions are employed to mitigate the lethal effects. However, these procedures often lead to complications such as scleral weakening and corneal astigmatism. Due to the absence of effective medical treatments, there is a critical need for novel approaches to prevent the spread of this disease. This study not only fills a key gap in medical therapy for epibulbar dermoid, but it also demonstrates AI’s transformational potential in drug development. Employing an AI drug design service, three efficient de novo therapeutic compounds targeting the PTCH1 protein were crafted with Fisetin. The method included obtaining the PTCH1 protein sequence from NCBI, computing physiochemical parameters with Expasy Protparam, and estimating the 3D structure with SWISS-MODEL. Quality assessment, binding site prediction, drug design with WADDAICA, Lipinski’s Rule of 5, toxicity screening, ADMET evaluation, docking analysis with CB-dock and Patch dock, and MD simulations with IMOD all work together to provide an adequate basis for the development and validation of AI-designed phytochemical medicines for epibulbar dermoid. Comprehensive pharmacokinetic and toxicity assessments demonstrated the outstanding absorbency of AI-designed Fisetin in the blood–brain barrier, emphasizing its non-toxic nature. The AI-designed Fisetin exhibits a notable affinity of approximately −9.2 kcal/mol during docking with the PTCH1 protein, suggesting its potential as a drug. While the in silico results indicate efficiency and safety, the necessity for in vivo testing is acknowledged to validate these promising findings. This research significantly advances the frontier of knowledge by proposing a non-invasive solution to epibulbar dermoid, addressing current limitations, and offering potential alternatives to conventional surgical interventions.

Naegleria fowleri is a free-living amoeba that causes primary amoebic meningoencephalitis. Despite combination drug therapies, N. fowleri is not sensitive to current drug therapies, contributing to the pathogen’s mortality rate of 98%. To enable rational drug designing, this study has proposed an integrated track of nanotechnology coupling with the enrichment concept. In the current study, zinc oxide nanoparticles (ZNP) were screened against ERK protein, which is responsible for the production of pro-inflammatory cytokines that cause brain disturbance in N. fowleri infection. Furthermore, an enrichment analysis has been executed to increase the efficiency of the ZNP through the addition of two amines and one chlorine group. The computational prediction of zeta potential, cytotoxicity, organ toxicity, calculations of binding free energy, and ADMET analysis shows that it is stable and possesses no toxic effect. Amine + chlorine enriched ZNP resulted in a binding energy of −7.8 kcal/mol, a zeta potential reliability of −40 mV, a cytotoxicity of −0.0002, inactive against all the targeted organ models, ADMET profiling shows a molecular weight of 320.54 g/mol, a lipophilicity of −0.99, high water solubility, and good gastrointestinal tract absorption. This proposed invention represents the future work for in vitro in combating this devastating disease toward a reliable therapeutic target with drugs that specifically aimed to inhibit the infection.

In the current era, a potent drug is still needed on the market for the treatment of various diseases worldwide. Researchers mainly focus on those enzymes that cause these diseases. One of the major diseases is caused by an enzyme called urease, which increases the concentration of ammonia in the body upon hydrolysis. Researchers across the globe have keen interest to synthesize the potent inhibitor for this conversion. From this perspective, hybrid analogs of imidazopyridine and oxadiazole (1–20) were designed and efficiently synthesized followed by characterizing them through varied spectroscopic methods (1HNMR, 13CNMR, and HREI-MS). In addition, in vitro analyses of the synthesized compounds were conducted to evaluate their anti-urease potency. There was significant potential in most compounds analyzed, but analogs 15, 16, and 17 (IC50 = 2.20 ± 0.10 μM, IC50 = 2.50 ± 0.10 μM, and IC50 = 2.30 ± 2.10 μM, respectively) performed exceptionally well in comparison with thiourea (IC50 = 22.30 ± 0.44 μM). The selected candidates were further investigated under a molecular docking study to confirm protein ligand interactions. In addition, energy gap (E gap) of the HOMO–LUMO was explored via density functional theory studies.

Butea monosperma is a deciduous tree, widely distributed throughout India, Burma, and Ceylon. The present study was intended to investigate the anti-inflammatory effects of Butea monosperma on the induced inflammatory model by evaluating pro-inflammatory biomarkers and their computational analysis. The anti-inflammatory activity may be attributed to the phyto-constituents for inhibitory effects on the two pro-inflammatory mediators (IL-8 and TNF-α). For this purpose, rats (n = 48) were equally divided in each group, i.e., 8 each in the negative and positive control and 32 in the experimental group with 8 rats for each dose, i.e., 50, 100, 200, and 400 mg/kg. TNF-α and IL-8 were tested by serum enzyme-linked immunosorbent assay (ELISA). The ELISA results showed 400 mg/kg dose as the potent anti-inflammatory. The binding sites of target proteins (TNF-α and IL-8) were docked with the active compounds (butrin and butein) of Butea monosperma. The butrin (target: TNF-α) and butein (target: IL-8) showed −8.4 and −6.0 kcal/mol binding energies, respectively, compared to the (diclofenac) standard drug with −6.8 kcal/mol binding energy. Hence, we concluded that Butea monosperma can be subjected to as a useful anti-inflammatory drug.

The present study highlights the true potential of Rhizopus oligosporus IIB-08 to produce lipase enzyme under solid-state fermentation and focuses on improving the properties of lipase by immobilizing it on biogenic aluminium oxide nanoparticles (Al-NPs) for better resolution of active homochiral 2-octanol. For this purpose, almond meal substrate showed 10.44 ± 0.36 U·g−1 lipase activity. The immobilization of lipase on biogenic Al-NPs prepared using Mentha spicata leaf extract led towards improved stability and catalytic efficiency, resulting in a 9.3% increase in activity compared to free enzyme. This study also examined the potential of the immobilized lipase in the effective resolution of 2-octanol. Gas chromatography-mass spectrometry confirmed the presence of lipase-catalysed fatty acids, such as linolenic acid (C18:3), linoleic acid (C18:2), palmitic acid, and oleic acid (C18:1), with palmitic acid exhibiting the highest concentration (142 μg·ml−1) at a retention time of 23.2 min. This study concludes that R. oligosporus IIB-08 is a promising source for lipase production and demonstrates the significant potential of nanoparticle-immobilized lipase in resolving pharmaceutically important organic chemicals, thereby making it a promising approach for different industrial applications. However, further scaling up is needed for better implementation in the industry.

The current study aimed to analyze the stabilization of sunflower oil using white mustard (Brassica hirta) leaf extracts as well as their antioxidant potential and cytotoxicity. Selected plant leaves were macerated in different solvents such as n-hexane, chloroform, ethyl acetate, n-butanol, and methanol. The total flavonoid contents, total phenolic contents, the antioxidant activity by DPPH assay, and the inhibition of linoleic acid oxidation were also examined. Moreover, the stabilization of sunflower oil was evaluated by calculating the conjugated dienes, conjugated trienes, peroxide value, p-ansidine, and free fatty acid values. The cytotoxicity study in terms of the hemolytic activity of B. hirta leaf extract was evaluated and the maximum percentage of lysis was found to be safe (less than 5%). The results of the present study revealed that among others, methanolic white mustard (B. hirta) leaf extract possessed higher antioxidant potential and might be safely employed for the stabilization of vegetable oils.

Pseudomonas aeruginosa causes many infections worldwide. Multidrug-resistant bacteria are mostly watched in hospital-acquired infections and are linked with high mortality rates. This study aims to find a possible cure for P. aeruginosa by using an additive and synergistic combination of drugs. The Carbapenem-resistant P. aeruginosa were isolated and identified by using clinical and laboratory standards institute protocols and their antibiotic susceptibility testing was performed by using disc and well diffusion method. In computational analysis, all of the ligands and proteins were selected and docking was done using PYRX. Hundred samples were taken of isolated Gram-negative bacteria of which 25% were P. aeruginosa. Additive combinations (meropenem [MPM] + tobramycin [TOB] was 100% sensitive and imipenem + TOB was also 100% sensitive) and synergistic combinations (MPM + ciprofloxacin were 90% sensitive and amikacin and imipenem) were 100% sensitive according to CLSI protocol. In computational analysis, TOB gave the highest binding energy of −11.4, whereas MPM shows a binding energy of −9.3. In conclusion, Additive and synergistic combination of drugs showed good antibacterial activity against Pseudomonas aeruginosa. Hence it can be used as a good treatment option for P. aeruginosa.

Silver nanoparticles have special plasmonic and antibacterial characteristics that make them efficient in a variety of commercial medical applications. According to recent research, chemically synthesized silver nanoparticles are harmful even in low concentrations. It was crucial to identify appropriate synthesis methods that may have low costs and be nontoxic to the environment. Zingiber officinale (ginger) extracts used to prepare silver nanoparticles were inexpensive and environmentally friendly, and the best physicochemical characteristics were analyzed. Silver nanoparticles were characterized by using UV-visible spectroscopy, Scanning electron microscopy (SEM), and X-ray diffraction (XRD). The surface Plasmon resonance peak at 425 nm was observed using UV-Visible spectroscopy. Scanning electron microscopy observed that the nanoparticles were spherical and ranged in size from 5 to 35 nm. The XRD pattern values of 2θ: 38.2o, 46.3o, and 64.58o are used to determine the planes (111), (200), and (220). The silver nanoparticle’s existence was verified by the face-centered cubic (FCC). Silver nanoparticles were found to have antibacterial efficacy against gram-positive Staphylococcus and gram-negative bacteria such as Pseudomonas aeruginosa, Klebsiella Aerogenes, Salmonella, Staphylococcus and Escherichia coli. The antibacterial activity of silver nanoparticles was observed using the agar well diffusion (AWD) method at three different concentrations (100 μg/ml, 75 μg/ml, and 50 μg/ml). The zone of inhibition measured against the bacterial strains pseudomonas Aeruginosa, Klebsiella aerogenes, Escherichia coli, Salmonella and Staphylococcus which were (18.4±1.25 mm, 16.9±0.74 mm, 14.8±1.25 mm), (16.8±0.96 mm, 14.6±0.76 mm, 14.0±1.15 mm), (19.7±0.76 mm, 18.2±0.66 mm, 15.4±1.15 mm), (16.6±0.67 mm, 14.2±0.23 mm, 12.8±0.78 mm) and (12±0.68 mm, 10±0.20 mm, 08±0.15 mm). These nanoparticles’ potent antibacterial properties may enable them to be employed as nanomedicines for a variety of gram-negative bacterial illness treatments.

The present study was aimed to identify the indigenous fungal strains which could possibly be applied to the biore-mediation of heavy metal-contaminated soil. The contaminated soil samples of Korangi Industrial Estate Karachi were found to have total concentration of Cu 1.044 mgL1, and Pb 0.631 mgL–1. A total of eight indigenous strains of the fungus were isolated and screened for bioremediation capacity from heavy metals-contaminated soil. For the bioremediation of Lead (Pb) these same indigenous eight fungal strains were used for biological remediation. All the fungal isolated with enhanced bioremediation capability were through phenotypic and genotypical characterization. The topology of the phylograms established that the fungal isolates used in this study were allocated to: K1 (Penicillium notatum), K2 (Aspergillus parasiticus), K3 (Aspergillus fumigatus), K4 (Aspergillus flavus), K5 (Aspergillus terries), K6 (Fusarium solani), K7 (Penicillium chrysogenum), K8 (Aspergillus niger), K9 (Penicillium piceum) and K10 (Penicillium restrictum). Thus, K8 fungal isolate was found to be more efficient with maximum bioremediation capacity, for copper and lead removal efficiency, and selected for FTIR and SEM to find out the uptake of Cu and Pb which of the functional groups are involved, and further to detect the effects of bioleaching of both heavy metals on to the surface of K8 fungus biomass. The current study indicates that indigenous fungal isolates could be used with high potency to remediate or clean up the heavy metals-contaminated soil either by the technique of in situ or ex-situ bioremediation.

The present study aimed to prepare hydrogel based on polyvinyl alcohol (PVA) and gelatin (Ge) and characterization of PVA/Ge hydrogel for their potential use as a sustained drug delivery system. Polyvinyl Alcohol (PVA) and-Gelatin (Ge) were cross-linked using glutaraldehyde (GA) as a crosslinking agent and hydrochloric acid (HCl) as a catalyst. Different feed polymer ratio and crosslinking agent concentration were used to prepare a series of PVA/Ge hydrogels. The obtained PVA/Ge hydrogels were investigated for dynamic and equilibrium swelling studies. The effect of polymers ratio, degree of crosslinking and pH of the medium on swelling of PVA/Ge hydrogels was investigated. Furthermore, the values of diffusion coefficient (D), volume fraction, polymer-solvent interaction parameter, molecular weight between crosslink and crosslink density were calculated. For swelling studies, 0.05M USP phosphate buffer solutions of different pH (1.2, 5.5, 6.5 and 7.5) were used. For the drug release study, ciprofloxacin HCl was loaded into selected samples as a model drug. The release of drug from these samples was performed for 12 hours in USP phosphate buffers of pH 1.2, 5.5 and 7.5. The release data from these samples were fitted into various kinetic models like zero order, first order, Higuchi and Peppas models to investigate the release mechanism. It was found that by varying the composition of PVA/Ge hydrogel and GA concentration, a significant difference was observed in drug release kinetics. FTIR spectroscopy and X-ray diffraction were used for the characterization of hydrogels. PVA/Ge hydrogel showed sustained release of the model drug at various pH values suggesting its potential use as a sustained drug delivery system.

Understanding ten significant of dengue virus a paramount due to its persistent threat across the globe causing numerous epidemic and millions of deaths every year. Despite advancement in healthcare, emerging outbreaks continue to claim millions of lives annually. The virus with its various serotype possesses a significant challenge to public health worldwide, its transmission through the arthropods which feed on the blood of higher animals further exacerbates its impact. This elucidating the mechanism and factor contributing to dengue virus pathogenicity is essential for developing strategies to combat its spreading. A systemic review is done while studying about Dengue virus serotypes to evaluate the relationship of dengue with other viral load and to develop an inhibitor in viral protein by using different bioinformatics tools in silico molecular docking. Phytochemicals were chosen to hit the target site of protein for inhibiting its active site in pathogenesis of Dengue virus. A phylogenetic lineage was observed of virus with other members of its family. Dengue virus has same similarities in some part of genomic structure with other viruses. Data bases were used to trace the genome of the virus. Different components of virus were analyzed and link was developed among those components within virus and other family members. Protein docking was performed by using the bioinformatics software auto docking. A pharmaceutical drug designing was developed to create inhibitor of protein structure in Dengue virus serotype-2. A comprehensive review of the methodology employed in our study including the experimental and computational techniques were utilized. Further we presented the results by analysis of genetic variation MCP-1 polymorphism and docking phytochemical inhibitors.

On March 25th 2019, the Belle II detector recorded the first collisions delivered by the SuperKEKB accelerator. This marked the beginning of the physics run with vertex detector. The vertex detector was aligned initially with cosmic ray tracks without magnetic field simultaneously with the drift chamber. The alignment method is based on Millepede II and the General Broken Lines track model and includes also the muon system or primary vertex position alignment. To control weak modes, we employ sensitive validation tools and various track samples can be used as alignment input, from straight cosmic tracks to mass-constrained decays. With increasing luminosity and experience, the alignment is approaching the target performance, crucial for the first physics analyses in the era of Super-BFactories. We will present the software framework for the detector calibration and alignment, the results from the first physics run and the prospects in view of the experience with the first data.

The Belle II experiment features a substantial upgrade of the Belle detector and will operate at the SuperKEKB energy-asymmetric e+e− collider at KEK in Tsukuba, Japan. The accelerator completed its first phase of commissioning in 2016, and the Belle II detector saw its first electron-positron collisions in April 2018. Belle II features a newly designed silicon vertex detector based on double-sided strip layers and DEPFET pixel layers. A subset of the vertex detector was operated in 2018 to determine background conditions (Phase 2 operation). The collaboration completed full detector installation in January 2019, and the experiment started full data taking. This paper will report on the final arrangement of the silicon vertex detector part of Belle II with a focus on online monitoring of detector conditions and data quality, on the design and use of diagnostic and reference plots, and on integration with the software framework of Belle II. Data quality monitoring plots will be discussed with a focus on simulation and acquired cosmic and collision data.