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Cinnarizine (CIN) drug substance is a US FDA and EMA approved antihistaminic drug, There is no report available on CIN for the identification of degradation products and their degradation pathway. Herein, we report a stability-indicating assay method for CIN, the formation and characterization of its major degradation products using LC-HRMS/MS and 1H-NMR techniques. CIN was subjected to oxidation, acid, base, thermal and photolytic degradation conditions. Two unknown degradation products (DP-1 and DP-2) of CIN were formed under oxidative conditions. We successfully separated these degradants using gradient elution on an Inertsil ODS 3 V column (150 × 4.6 mm, 5 µm) using mobile phase A consisting of 0.1% formic acid and the mobile phase B consisting of 0.1% formic acid/acetonitrile (20/80, v/v). CIN was labile to oxidative conditions and stable to acidic, alkaline hydrolytic, photolytic and thermal conditions. The degradation pathways were derived from the nature of the product formed under oxidative degradation conditions and available reports for confirmation of the mechanism. Since the stability-indicating assay method can be utilized for stability studies and routine quality control of CIN in both the pharmaceutical industry and research laboratories. This method has been validated in compliance with the guidelines set forth by the ICH.

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Background: Congenital sideroblastic anemia (CSA) constitutes a group of inherited erythropoietic disorders. Some affect mainly or exclusively erythroid cells; other syndromic forms occur within multisystem disorders with extensive nonhematopoietic manifestations. In this study, we have performed clinical and molecular investigations on a 10-year-old boy suspected of having CSA. Methods: Routine blood examination, peripheral blood and bone marrow smears, and serum iron tests were performed. Gene mutation analysis was conducted using whole-exome sequencing (WES) and the results were confirmed using Sanger sequencing. Furthermore, the functional impact of the identified variant was assessed/predicted with bioinformatics methods. Results: The patient presented with severe microcytic anemia (hemoglobin, 50 g/L), iron overload and ring sideroblasts in the bone marrow. Moreover, WES revealed the presence of a hemizygous missense variant in ALAS2 (c.1102C > T), changing an encoded arginine to tryptophan (p. Arg368Trp). This variant was verified via Sanger sequencing, and neither of the parents carried this variant, which was suspected to be a de novo variant. Using in silico analysis with four different software programs, the variant was predicted to be harmful. PyMol and LigPlot software showed that the p. Arg368Trp variant may result in changes in hydrogen bonds. The patient was treated with vitamin B6 combined with deferasirox. After 6 months, the hemoglobin increased to 99 g/L and the serum ferritin decreased significantly. Conclusion: We report a novel pathogenic variant in the ALAS2 gene (c.1102C > T:p. Arg368Trp), which caused CSA in a 10-year-old boy. Mutational analysis is important in patients with CSA when family history data are unavailable. Anemia due to the ALAS2 Arg368Trp variant responds to pyridoxine supplements.

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The major commercial crops in Pakistan are citrus fruit trees, which are farmed extensively and serve as the country's principal source of foreign exchange. A local citrus plant, Citrus paradisi, variety Foster is famous for its valuable fruit and fruit juice, however, tons of peels of this fruit are thrown as waste, which otherwise can be utilized in formulating nutraceutical and cosmetics. In the present study, essential oil of fruit peels was obtained through hydro-distillation, which was then analyzed through GC-MS analysis and studied for its antioxidant and enzyme inhibition potential. GCMS analysis revealed the presence of several components; major were found to be limonene, α-terpineol, caryophyllene, δ-amorphene, elemol, γ-eudesoml, nootkatone and di-isooctyl phthalate. Although, the oil showed weak free radical inhibition, it was potentially active in CUPRAC, FRAP, phosphomolybdenum and metal chelating antioxidant assays. The oil also exhibited anti-glucosidase, anti-amylase activities and also exhibited potent inhibition of the enzyme tyrosinase, which makes it strong candidate for nutraceuticals and skin care products. The docking studies also substantiate our results and caryophyllene, γ-eudesoml and nootkatone showed good binding affinity α-glucosidase and α-amylase and all tested compounds showed the higher binding affinity towards the enzyme tyrosinase.

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In our continuous efforts to find out leads against the enzyme 15-lipoxygenase (15-LOX), the current study deals with the synthesis of a series of new N-alkyl/aralkyl/aryl derivatives of 2-(4-ethyl-5-(1-phenylcarbamoyl)piperidine-4H-1,2,4-triazol-3-ylthio)methylacetamide (7a-n) with anti-LOX activities. The synthesis was started by reacting phenylisocyanate with isonipecotate that sequentially converted into N-substituted ester (1), hydrazide (2), semicarbazide (3) and N-ethylated 5-(1-phenylcarbamoyl)piperidine-1,2,4-triazole (4). The final compounds, 7a-n, were obtained by reacting 4 with various N-alkyl/aralkyl/aryl electrophiles. Both the intermediates and target compounds were characterized by FTIR, 1H, 13C NMR spectroscopy, EI-MS and HR-EI-MS spectrometry and screened against soybean 15-LOX by chemiluminescence method. The eight compounds 7e, 7j, 7h, 7a, 7g, 7b, 7n, 7c showed potent inhibitory activities against 15-LOX with values ranging from IC50 0.36 ± 0.15 µM (7e) to IC50 6.75 ± 0.17 µM (7c) compared with the reference quercetin (IC50 4.86 ± 0.14 µM) and baicalein (IC50 2.24 ± 0.13 µM). Two analogues (7l, 7f) had significantly outstanding inhibitory potential with IC50 values 12.15 ± 0.23 µM and 15.54 ± 0.26 µM, whereas, the derivatives 7i, and 7d displayed IC50 values of 21.56 ± 0.27 µM, 23.59 ± 0.24 µM and the compounds 7k, 7m were found inactive. All analogues exhibited blood mononuclear cells (MNCs) viability >75 % at 0.25 mM concentration as determined by MTT method. Calculated pharmacokinetic properties projected good lipophilicity, bioavailability and drug-likeness properties and did not violate Lipinski's/Veber rule. Molecular docking studies revealed lower binding free energies of all the derivatives than the reference compounds. The binding free energies were -9.8 kcal/mol, -9.70 k/mol and -9.20 kcal/mol for 7j, 7h and 7e, respectively, compared with the standard quercetin (-8.47 kcal/mol) and baicalein (-8.98 kcal/mol). The docked ligands formed hydrogen bonds with the amino acid residues Gln598 (7e), Arg260, Val 126 (7h), Gln762, Gln574, Thr443, Arg580 (7j) while other hydrophobic interactions observed therein further stabilized the complexes. The results of density functional theory (DFT) revealed that analogues with more stabilized lower unoccupied molecular orbital (LUMO) had significant enzyme inhibitory activity. The data collectively supports these molecules as leads against 15-LOX and demand further investigations as anti-inflammatory agents.

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Antimicrobial Resistance (AMR) due to non-responding viruses, fungi, bacteria and parasites leads to discovery of new antimicrobial medicines which can control the risk of disease spread, severe illness, disability and death. Heterocyclic chemistry has always been a continuous supplier of novel antimicrobial agents which are in great demand in pharma sector. Therefore, compounds such as 1-(Chloromethyl)-1H-Benzotriazole, 1; 1-((1-H-benzo[d][1,2,3]triazol-1-yl)methyl)phenyl hydrazine, 2; 1-((1-H-benzo[d][1,2,3]triazol-1-yl)methyl)hydrazine, 3; and N-(benzo[e][1,2,4]triazin-4(3-H)-ylmethylbenzenamine, 4 were designed, and synthesized through conventional and microwave-assisted methods. All of these novel benzotriazoles were explored through in-vitro antimicrobial studies and in silico studies. Antimicrobial activity was carried out against bacterial strains Escherichia coli, Bacillus subtilis, and fungal strains Aspergillus niger and Candida albicans at concentrations 5, 10 and 15 mg/ml. In silico studies was carried out with 4CAW: Aspergillus fumigatus N-myristoyl transferase in complex with myristoyl CoA and a pyrazole sulphonamide ligand. Our antimicrobial and molecular docking studies revealed that all of the derivatives showed promising activity, moreover molecular docking gave significant values of ligand posed energy and docking run elapsed time which further endorsed the astonishing characteristic of benzotriazole derivatives esp. N-(benzo[e]a[1,2,4] triazin-4(3-H)-ylmethylbenzenamine for biological and therapeutic leads.

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Backgrounds and aims: In toxicology, LC-HRMS for untargeted screening yields a great deal of high quality spectral data. However, there we lack tools to visualize/organize the MS data. We applied molecular networking (MN) to untargeted screening interpretation. Our aims were to compare theoretical MS libraries obtained in silico with our experimental dataset in patients to broaden its application, and to use the MetWork web application for metabolite identification. Methods: Samples were analyzed using an LC-HRMS system. For MN, data was generated using MZmine, and analyzed and visualized using MetGem. MetWork annotations were filtered and this file was used for annotation of the previously obtained MN. Results: 155 compounds including drugs found in patients were recorded. Using this dataset, we confirmed in 60 patients intake of tramadol, amitriptyline bromazepam, and cocaine. The results obtained by the reference methods were confirmed by MN approaches. Eighty percent of the compounds were common to both conventional and MN approaches. Using MetWork, metabolites and parent drugs such as amitriptyline, its metabolite nortriptyline and amitriptyline glucuronide phase 2 metabolites were anticipated and proposed as putative annotations. Conclusion: The workflow increases confidence in toxicological screening by highlighting putative structures in biological matrices in combination with CFM-ID (Competitive Fragmentation Modeling for Metabolite Identification) and MetWork to extend the annotation of potential drugs even without a reference standard.

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To understand the decision process of genomic sequence-to-function models, explainable AI algorithms determine the importance of each nucleotide in a given input sequence to the model's predictions and enable discovery of cis-regulatory motifs for gene regulation. The most commonly applied method is in silico saturation mutagenesis (ISM) because its per-nucleotide importance scores can be intuitively understood as the computational counterpart to in vivo saturation mutagenesis experiments. While ISM is highly interpretable, it is computationally challenging to perform for many sequences, and becomes prohibitive as the length of the input sequences and size of the model grows. Here, we use the first-order Taylor approximation to approximate ISM values from the model's gradient, which reduces its computation cost to a single forward pass for an input sequence. We show that the Taylor ISM (TISM) approximation is robust across different model ablations, random initializations, training parameters, and dataset sizes.

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HPLC analysis, phytochemical screening, thin layer chromatography, polyphenols and flavonoid contents were conducted to determine the bioactive contents of the Algerian Seseli tortuosum plant. Antioxidant activity was tested using DPPH and ABTS scavenging assays, reducing power, phenanthroline and silver nanoparticle (SNP) assays. BChE inhibitory assay was performed in vitro and in silico. Phytochemical analysis highlighted the richness of the extracts in terms of coumarins and terpenoids. The quantitative determination of total polyphenols and flavonoids showed that the highest amounts occurred in the dichloromethane (DCME) and methanolic (MeOH) extracts. The antioxidant activities indicated a moderate potential. Compared with galantamine, DCME had a significantly greater inhibitory effect on BChE (CI50 = 9.14±1.74 µg/ml and 34.75±1.99 µg/ml respectively). An in silico study of butyrylcholinesterase inhibition revealed a significant effect of quercetin (-30,13 KJ/mol). Conclusion: This study demonstrated the richness of the phytochemical components of seseli tortuosum, which are responsible for several biological properties, mainly their anti-Alzheimer potential.

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Polycystic Ovarian Syndrome (PCOS) is a multifaceted metabolic and hormonal condition that impacts women in their procreative ages, identified by ovarian dysfunction, hyperandrogenaemia overweight and insulin insensitivity. The piperine, an important alkaloid compound of black pepper has shown promise in modulating various physiological processes. In this work, employed computational docking studies to explore the potential of piperine as a treatment for PCOS. Utilizing computational methods, we analyzed the binding interactions between piperine and key molecular targets implicated in PCOS pathogenesis, including hyperandrogenism, and "oligomenorrhea. The network pharmacology analysis report found 988 PCOS-related genes, 108 hyperandrogenism-related genes, and 377 oligomenorrhea-related genes, and we finally shortlisted 5 common genes in PCOS, hyperandrogenism, and "oligomenorrhea": NR3C1, PPARG, FOS, CYP17A1, and H6PD. Our results reveal favorable binding affinities with PPARG (-8.34 Kcal/mol) and H6PD (-8.70 Kcal/mol) and interaction patterns, suggesting the potential of piperine to modulate these targets. Moreover, the reliability of the piperine-target interactions was revealed by molecular simulations studies. These findings support further experimental investigations to validate the therapeutic efficacy of piperine in PCOS management. The integration of computational approaches with experimental studies has the potential to lay the groundwork for the creation of new therapies specifically targeting PCOS and related endocrine disorders.

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Introduction: The aromatase enzyme plays an important role in the progress of hormone-dependent breast cancer, especially in estrogen receptor-positive (ER+) breast cancers. In case of postmenopausal women, the aromatization of androstenedione to estrone in adipose tissue is the most important source of estrogen. Generally 60%-75% of pre- and post-menopausal women suffer from estrogen-dependent breast cancer, and thus suppressing estrogen has been recognized to be a successful therapy. Hence, to limit the stimulation of estrogen, aromatase inhibitors (AIs) are used in the second-line treatment of breast cancer. Methods: The present computational study employed an in silico approach in the identification of natural actives targeting the aromatase enzyme from a structurally diverse set of natural products. Molecular docking, QSAR studies and pharmacophore modeling were carried out using the VLife Molecular Design Suite (version 4.6). The stability of the compounds was confirmed by molecular dynamics. Results: From molecular docking and analysis of interactions with the amino acid residues of the binding cavity, it was found that the amino acid residues interacting with the non-steroidal inhibitors exhibited π-stacking interactions with PHE134, PHE 221, and TRP 224, while the steroidal drug exemestane lacked π-stacking interactions. QSAR studies were performed using the flavonoid compounds, in order to identify the structural functionalities needed to improve the anti-breast cancer activity. Molecular dynamics of the screened hits confirmed the stability of compounds with the target in the binding cavity. Moreover, pharmacophore modelling presented the pharmacophoric features of the selected scaffolds for aromatase inhibitory activity. Conclusion: The results presented 23 hit compounds that can be developed as anti-breast cancer modulating agents in the near future. Additionally, anthraquinone compounds with minor structural modification can also serve to be potential aromatase inhibitors. The in silico protocol utilised can be useful in the drug discovery process for development of new leads from structurally diverse set of natural products that are comparable to the drugs used clinically in breast cancer therapy.

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Background: Bioanalytical methods that enable rapid and high-detail characterization of binding specificities and strengths of protein complexes with low sample consumption are highly desired. The interaction between a camelid single domain antibody (sdAbCSP1) and its target antigen (PfCSP-Cext) was selected as a model system to provide proof-of-principle for the here described methodology. Research design and methods: The structure of the sdAbCSP1 - PfCSP-Cext complex was modeled using AlphaFold2. The recombinantly expressed proteins, sdAbCSP1, PfCSP-Cext, and the sdAbCSP1 - PfCSP-Cext complex, were subjected to limited proteolysis and mass spectrometric peptide analysis. ITEM MS (Intact Transition Epitope Mapping Mass Spectrometry) and ITC (Isothermal Titration Calorimetry) were applied to determine stoichiometry and binding strength. Results: The paratope of sdAbCSP1 mainly consists of its CDR3 (aa100-118). PfCSP-Cext's epitope is assembled from its α-helix (aa40-52) and opposing loop (aa83-90). PfCSP-Cext's GluC cleavage sites E46 and E58 were shielded by complex formation, confirming the predicted epitope. Likewise, sdAbCSP1's tryptic cleavage sites R105 and R108 were shielded by complex formation, confirming the predicted paratope. ITEM MS determined the 1:1 stoichiometry and the high complex binding strength, exemplified by the gas phase dissociation reaction enthalpy of 50.2 kJ/mol. The in-solution complex dissociation constant is 5 × 10-10 M. Conclusions: Combining AlphaFold2 modeling with mass spectrometry/limited proteolysis generated a trustworthy model for the sdAbCSP1 - PfCSP-Cext complex interaction interface.

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PURPOSE: We aimed to explore the metabolite products of 1,2-diacetylbenzene (DAB) and investigate their harmful effects, physicochemical properties, and biological activities, along with those of DAB itself. METHODS: Key approaches included MetaTox, PASS online, ADMESWISS, ADMETlab 2.0, molecular docking, and molecular dynamic simulation to identify metabolites, toxic effects, Lipinski's rule criteria, absorption, distribution, metabolism, and excretion properties, interactions with cytochrome (CYP) 450 isoforms, and the stability of the DAB-cytochrome complex. RESULTS: A total of 13 metabolite products from DAB were identified, involving Phase I reactions (aliphatic hydroxylation, epoxidation, oxidative dehydrogenation, and hydrogenation) and Phase II reactions (oxidative sulfation and methylation). Molecular dynamics and modeling revealed a stable interaction between CYP1A2 and DAB, suggesting the involvement of CYP1A2 in DAB metabolism. All studied compounds adhered to Lipinski's rule, indicating their potential as inducers or activators of toxic mechanisms. The physicochemical parameters and pharmacokinetics of the investigated compounds were consistent with their harmful effects, which included neurotoxic, nephrotoxic, endocrine disruptor, and hepatotoxic consequences due to their high gastrointestinal absorption and ability to cross the blood-brain barrier. Various CYP450 isoforms exhibited different functions, and the compounds were found to act as superoxide dismutase inhibitors, neuropeptide Y2 antagonists, glutaminase inhibitors, and activators of caspases 3 and 8. DAB and its metabolites were also associated with apoptosis, oxidative stress, and neuroendocrine disruption. CONCLUSION: The toxic effects of DAB and its metabolites were predicted in this study. Further research is warranted to explore their effects on other organs, such as the liver and kidneys, and to validate our findings.

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Therapeutic formats derived from the monoclonal antibody structure have been gaining significant traction in the biopharmaceutical market. Being structurally similar to mAbs, most Fc-containing therapeutics exhibit product-related impurities in the form of aggregates, charge variants, fragments, and glycoforms, which are inherently challenging to remove. In this work, we developed a workflow that employed rapid resin screening in conjunction with an in silico tool to identify and rank orthogonally selective processes for the removal of product-related impurities from a Fc-containing therapeutic product. Linear salt gradient screens were performed at various pH conditions on a set of ion-exchange, multimodal ion-exchange, and hydrophobic interaction resins. Select fractions from the screening experiments were analyzed by three different analytical techniques to characterize aggregates, charge variants, fragments, and glycoforms. The retention database generated by the resin screens and subsequent impurity characterization were then processed by an in silico tool that generated and ranked all possible two-step resin sequences for the removal of product-related impurities. A highly-ranked process was then evaluated and refined at the bench-scale to develop a completely flowthrough two-step polishing process which resulted in complete removal of the Man5 glycoform and aggregate impurities with a 73% overall yield. The successful implementation of the in silico mediated workflow suggests the possibility of a platformable workflow that could facilitate polishing process development for a wide variety of mAb-based therapeutics.

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BACKGROUND: Variations in untranslated regions (UTR) alter regulatory pathways impacting phenotype, disease onset, and course of disease. Protein kinase C Zeta (PRKCZ), a serine-threonine kinase, is implicated in cardiovascular, neurological and oncological disorders. Due to limited research on PRKCZ, this study aimed to investigate the impact of UTR genetic variants' on binding sites for transcription factors and miRNA. RNA secondary structure, eQTLs, and variation tolerance analysis were also part of the study. METHODS: The data related to PRKCZ gene variants was downloaded from the Ensembl genome browser, COSMIC and gnomAD. The RegulomeDB database was used to assess the functional impact of 5' UTR and 3'UTR variants. The analysis of the transcription binding sites (TFBS) was done through the Alibaba tool, and the Kyoto Encyclopaedia of Genes and Genomes (KEGG) was employed to identify pathways associated with PRKCZ. To predict the effect of variants on microRNA binding sites, PolymiRTS was utilized for 3' UTR variants, and the SNPinfo tool was used for 5' UTR variants. RESULTS: The results obtained indicated that a total of 24 variants present in the 3' UTR and 25 variants present in the 5' UTR were most detrimental. TFBS analysis revealed that 5' UTR variants added YY1, repressor, and Oct1, whereas 3' UTR variants added AP-2alpha, AhR, Da, GR, and USF binding sites. The study predicted TFs that influenced PRKCZ expression. RNA secondary structure analysis showed that eight 5' UTR and six 3' UTR altered the RNA structure by either removal or addition of the stem-loop. The microRNA binding site analysis highlighted that seven 3' UTR and one 5' UTR variant altered the conserved site and also created new binding sites. eQTLs analysis showed that one variant was associated with PRKCZ expression in the lung and thyroid. The variation tolerance analysis revealed that PRKCZ was an intolerant gene. CONCLUSION: This study laid the groundwork for future studies aimed at targeting PRKCZ as a therapeutic target.

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The Ayush sector has attained buoyant growth in the past decade as a science, public health, medicine, and industry. Artificial Intelligence, computational drug designing, and other combinatorial techniques could further accelerate the sector's growth. In this edition, we delve into the confluence of Ayurveda and technology, a theme that resonates profoundly in the contemporary healthcare and wellness landscape. The fusion of Ayurveda, an ancient system of medicine rooted in holistic well-being, with cutting-edge technology, is not just a paradigm shift but a necessary evolution in pursuing an integrated healthcare system where all systems have their defined, recognized, and respected contribution. Here, We are highlight one-such fusion initiative "Ayurinformatics Laboratory".

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Acinetobacter baumannii, is among the highest priority bacteria according to the WHO categorization which necessitate the exploration of alternative strategies such as vaccination. OmpA, BamA, and Omp34 are assigned as appropriate antigens to serve in vaccine development against this pathogen. Experimentally validated exposed epitopes of OmpA and Omp34 along with selected exposed epitopes predicted by an integrative in silico approach were represented by the barrel domain of BamA as a scaffold. Among the 8 external loops of BamA, 5 loops were replaced with selected loops of OmpA and Omp34. The designed antigen was analyzed regarding the physicochemical properties, antigenicity, epitope retrieval, topology, structure, and safety. BamA is a two-domain OMP with a 16-stranded barrel in which L4, L6, and L7 were the longest loops of BamA in order. The designed antigen consisted of 478 amino acids with antigen probability of 0.7793. The novel antigen was a 16-stranded barrel. No identical 8-meric peptides were found in the human proteome against the designed antigen sequence. The designed construct was safe regarding the allergenicity, toxicity, and human proteome reactivity. The designed antigen could develop higher protection against A. baumannii in comparison to either OmpA, BamA, or Omp34 alone.

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OBJECTIVE: This article reviews the applications of Finite Element Models (FEMs) in personalized dentistry, focusing on treatment planning, material selection, and CAD-CAM processes. It also discusses the challenges and future directions of using Finite Element Analysis (FEA) in dental care. DATA: This study synthesizes current literature and case studies on FEMs in personalized dentistry, analyzing research articles, clinical reports, and technical papers on the application of FEA in dental biomechanics. SOURCES: Sources for this review include peer-reviewed journals, academic publications, clinical case studies, and technical papers on dental biomechanics and Finite Element Analysis. Key databases such as PubMed, Scopus, Embase, and ArXiv were used to identify relevant studies. STUDY SELECTION: Studies were selected based on their relevance to the application of FEMs in personalized dentistry. Inclusion criteria were studies that discussed the use of FEA in treatment planning, material selection, and CAD-CAM processes in dentistry. Exclusion criteria included studies that did not focus on personalized dental treatments or did not utilize FEMs as a primary tool. CONCLUSIONS: FEMs are essential for personalized dentistry, offering a versatile platform for in-silico dental biomechanics modeling. They can help predict biomechanical behavior, optimize treatment outcomes, and minimize clinical complications. Despite needing further advancements, FEMs could help significantly enhance treatment precision and efficacy in personalized dental care. CLINICAL SIGNIFICANCE: FEMs in personalized dentistry hold the potential to significantly improve treatment precision and efficacy, optimizing outcomes and reducing complications. Their integration underscores the need for interdisciplinary collaboration and advancements in computational techniques to enhance personalized dental care.

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A one-pot three-component Biginelli synthesis of dihydropyrimidinones/thiones/selenones via acetic acid or solvent-free Yb(OTf)3-catalyzed tandem reaction of ß-ketosulfone (dihydro-2H-thiopyran-3(4H)-one-1,1-dioxide), an appropriate urea, and arylaldehyde has been developed. The reaction proceeds with high chemo- and regioselectivity to give diverse DHPMs in reasonable yields up to 95%. Moreover, an SO2-containing analogue of anticancer drug-candidate enastron (SO2 vs C=O) was obtained by using the here reported method in gram scale. We also demonstrate the reactivity of the Biginelli product in various directions - synthesis of condensed thiazoles and tetrazoles. In silico assessment of ADMET parameters shows that most compounds meet the lead-likeness requirements. The biological profiles of new compounds demonstrate high probability levels of activity against the following pathogens/diseases: Candida albicans, Alphis gossypii, Tripomastigote Chagas, Tcruzi amastigota, Tcruzi epimastigota, Leishmania amazonensis, and Dengue larvicida.

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Antimicrobial peptides (AMPs) are small peptides existing in nature as an important part of the innate immune system in various organisms. Notably, the AMPs exhibit inhibitory effects against a wide spectrum of pathogens, showcasing potential applications in different fields such as food, agriculture, medicine. This review explores the application of AMPs in the food industry, emphasizing their crucial role in enhancing the safety and shelf life of food and how they offer a viable substitute for chemical preservatives with their biocompatible and natural attributes. It provides an overview of the recent advancements, ranging from conventional approaches of using natural AMPs derived from bacteria or other sources to the biocomputational design and usage of synthetic AMPs for food preservation. Recent innovations such as structural modifications of AMPs to improve safety and suitability as food preservatives have been discussed. Furthermore, the active packaging and creative fabrication strategies such as nano-formulation, biopolymeric peptides and casting films, for optimizing the efficacy and stability of these peptides in food systems are summarized. The overall focus is on the spectrum of applications, with special attention to potential challenges in the usage of AMPs in the food industry and strategies for their mitigation.

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Herbs have been used as medicines since antiquity, and it has been discovered that the human body responds well to herbal remedies. Research on the effect of butin was conducted in the current study in the alloxan-induced diabetic rat paradigm. A total of 30 Wistar rats were randomly assigned into the following groups (n = 6): I-Normal; II-Alloxan-induced (50 mg/kg); III-Alloxan + butin 25 mg/kg; IV-Alloxan + butin 50 mg/kg; V-Butin per se 50 mg/kg. Various diabetic parameters (blood glucose, insulin, HbA1c), lipid profile, inflammatory (TNF-α, IL-1ß, IL-6 and NF-κB), antioxidant enzymes (CAT, SOD and GSH), oxidative stress indicators (MDA), apoptosis marker (caspase-3), hepatic markers (ALT and AST), and histopathological changes were assessed. Additionally, molecular docking and dynamics were performed to evaluate the interaction of butin with target proteins. Butin treatment, at both doses, significantly restored biochemical parameters and preserved pancreatic histopathology in diabetic rats. It effectively modulated blood parameters, lipid profiles, inflammatory markers, apoptosis, antioxidant enzyme activity, oxidative stress, and hepatic markers. Molecular docking revealed that butin binds to proteins such as caspase-3 (1NME), NF-κB (1SVC), and serum insulin (4IBM) with binding affinities of - 7.4, - 6.5, and - 8.2 kcal/mol, respectively. Molecular dynamics simulations further suggested that butin induces significant conformational changes in these proteins. Butin exhibits potential effects against alloxan-induced diabetic rats by restoring biochemical balance, reducing inflammation, and protecting pancreatic tissue. Its binding to key proteins involved in apoptosis and inflammation highlights its therapeutic potential in diabetes management.

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