Dissociation Constant Research Articles

Kinetic Features of Degradation of R-Loops by RNase H1 from Escherichia coli

R-loops can act as replication fork barriers, creating transcription–replication collisions and inducing replication stress by arresting DNA synthesis, thereby possibly causing aberrant processing and the formation of DNA strand breaks. RNase H1 (RH1) is one of the enzymes that participates in R-loop degradation by cleaving the RNA strand within a hybrid RNA–DNA duplex. In this study, the kinetic features of the interaction of RH1 from Escherichia coli with R-loops of various structures were investigated. It was found that the values of the dissociation constants Kd were minimal for complexes of RH1 with model R-loops containing a 10–11-nt RNA–DNA hybrid part, indicating effective binding. Analysis of the kinetics of RNA degradation in the R-loops by RH1 revealed that the rate-limiting step of the process was catalytic-complex formation. In the presence of RNA polymerase, the R-loops containing a ≤16-nt RNA–DNA hybrid part were efficiently protected from cleavage by RH1. In contrast, R-loops containing longer RNA–DNA hybrid parts, as a model of an abnormal transcription process, were not protected by RNA polymerase and were effectively digested by RH1.

Evaluating the insecticidal potential of alkaloids for the management of Thrips palmi: in vivo and in silico perspectives.

Insecticidal potential of seven commonly available alkaloids against melon thrips (Thrips palmi Karny) was investigated through in vivo experiments and the bioactivity was explained via in silico approaches. In vivo screening showed highest mortality of T. plami larvae for reserpine (43%), closely followed by tropinone (41%) after 24h of incubation. After 48h, tropinone surpassed reserpine with 83% mortality, indicating its prolonged insecticidal activity. A detailed bioassay of tropinone revealed its LC50 values as 1187.9 and 686.9µg mL-1 after 24 and 48h, respectively. While studying the molecular interactions between the alkaloids and four physiologically important target proteins of T. palmi, tropinone demonstrated the highest ligand efficiency and lowest predicted inhibitory constant, particularly when forming complexes with CathB protein. However, binding energy calculations of the docked complexes showed most favorable binding of reserpine with CathB. To clear the ambiguity, considering both binding energy and ligand efficiency as the evaluation parameters, a molecular dynamics study was carried out, which predicted higher stability of CathB-tropinone complex than CathB-reserpine complex in terms of the total energy of the system. These in silico findings aligned well with the in vivo results, confirming tropinone as a promising candidate for effective thrips management programs.

Novel Inhibitory Actions of Neuroactive Steroid [3α,5α]-3-Hydroxypregnan-20-One on Toll-like Receptor 4-Dependent Neuroimmune Signaling

The endogenous neurosteroid (3α,5α)-3-hydroxypregnan-20-one (3α,5α-THP) modulates inflammatory and neuroinflammatory signaling through toll-like receptors (TLRs) in human and mouse macrophages, human blood cells and alcohol-preferring (P) rat brains. Although it is recognized that 3α,5α-THP inhibits TLR4 activation by blocking interactions with MD2 and MyD88, the comprehensive molecular mechanisms remain to be elucidated. This study explores additional TLR4 activation sites, including TIRAP binding to MyD88, which is pivotal for MyD88 myddosome formation, as well as LPS interactions with the TLR4:MD2 complex. Both male and female P rats (n = 8/group) received intraperitoneal administration of 3α,5α-THP (15 mg/kg; 30 min) or a vehicle control, and their hippocampi were analyzed using immunoprecipitation and immunoblotting techniques. 3α,5α-THP significantly reduces the levels of inflammatory mediators IL-1β and HMGB1, confirming its anti-inflammatory actions. We found that MyD88 binds to TLR4, IRAK4, IRAK1, and TIRAP. Notably, 3α,5α-THP significantly reduces MyD88-TIRAP binding (Males: −31 ± 9%, t-test, p < 0.005; Females: −53 ± 15%, t-test, p < 0.005), without altering MyD88 interactions with IRAK4 or IRAK1, or the baseline expression of these proteins. Additionally, molecular docking and molecular dynamic analysis revealed 3α,5α-THP binding sites on the TLR4:MD2 complex, targeting a hydrophobic pocket of MD2 usually occupied by Lipid A of LPS. Surface plasmon resonance (SPR) assays validated that 3α,5α-THP disrupts MD2 binding of Lipid A (Kd = 4.36 ± 5.7 μM) with an inhibition constant (Ki) of 4.5 ± 1.65 nM. These findings indicate that 3α,5α-THP inhibition of inflammatory mediator production involves blocking critical protein-lipid and protein-protein interactions at key sites of TLR4 activation, shedding light on its mechanisms of action and underscoring its therapeutic potential against TLR4-driven inflammation.

Phage Display Against 2D Metal-Organic Nanosheets as a New Route to Highly Selective Biomolecular Recognition Surfaces.

Peptides are important biomarkers for various diseases, however distinguishing specific amino-acid sequences using artificial receptors remains a major challenge in biomedical sensing. This study introduces a new approach for creating highly selective recognition surfaces using phage display biopanning against metal-organic nanosheets (MONs). Three MONs (ZIF-7, ZIF-7-NH2, and Hf-BTB-NH2) are added to a solution containing every possible combination of seven-residue peptides attached to bacteriophage hosts. The highest affinity peptides for each MON are isolated through successive bio-panning rounds. Comparison of the surface properties of the MONs and high-affinity peptides provide useful insights into the relative importance of electrostatic, hydrophobic, and co-ordination bonding interactions in each system, aiding the design of future MONs. Coating of the Hf-BTB-NH2 MONs onto a quartz crystal microbalance (QCM) produced a five-fold higher signal for phage with the on-target peptide sequence compared to those with generic sequences. Surface plasmon resonance (SPR) studies produce a 4600-fold higher equilibrium dissociation constant (KD) for on-target sequences and are comparable to those of antibodies (KD = 4 x 10-10m). It is anticipated that insights from the biopanning approach, combined with the highly tunable nature of MONs, will lead to a new generation of highly selective recognition surfaces for use in biomedical sensors.

Local depletion of large molecule drugs due to target binding in tissue interstitial space.

Drug-target binding determines a drug's pharmacodynamics but can also have a profound impact on a drug's pharmacokinetics, known as target-mediated drug disposition (TMDD). TMDD models describe the influence of drug-target binding and target turnover on unbound drug concentrations and are frequently used for biologics and drugs with nonlinear plasma pharmacokinetics. For drug targets expressed in tissues, the effect of TMDD may not be detected when analyzing plasma concentration curves, but it might still affect tissue concentrations and occupancy. This review aimed to investigate the likeliness of such a scenario by reviewing the literature for a typical range of TMDD parameter values and their impact on local drug concentrations and target occupancy in a whole-body PBPK model with TMDD. Our analysis demonstrated that tissue drug concentrations are impacted and significantly depleted in many physiological scenarios. In contrast, the effect on plasma concentrations is much lower, specifically for smaller organs with lower perfusion. Moreover, in scenarios with fast internalization of the drug-target complex, the distribution of large molecules from plasma to tissue interstitial space emerges as a rate-limiting step for the drug-target interaction. These factors may lead to overpredicting local drug concentrations when considering only plasma pharmacokinetics. A sensitivity analysis revealed the high and not always intuitive impact of drug-specific parameters, including the drug molecule hydrodynamic radius, dissociation constant (Kd), drug-target complex internalization rate constant (kint), and target dissociation rate constant (koff), on the drug's pharmacokinetics. Our analysis demonstrated that tissue TMDD needs to be considered even if plasma pharmacokinetics are linear.

Machine learning-based prediction of bioactivity in HIV-1 protease: insights from electron density analysis.

Aim: To develop a model for predicting the biological activity of compounds targeting the HIV-1 protease and to establish factors influencing enzyme inhibition.Materials & methods: Machine learning models were built based on a combination of Richard Bader's theory of Atoms in Molecules and topological analysis of electron density using experimental x-ray 'protein-ligand' complexes and inhibition constants data.Results & conclusion: Among all the models tested, logistic regression achieved the highest accuracy of 0.76 on the test set. The model's ability to differentiate between less active and highly active classes was relatively good, as indicated by an AUC-ROC score of 0.77. The analysis identified several critical factors affecting the biological activity of HIV-1 protease inhibitors, including the electron density contribution of hydrogen atoms, bond-critical points and particular amino acid residues. These findings provide new insights into how these molecular factors influence HIV-1 protease inhibition, emphasizing the importance of hydrogen bonding, glycine's flexibility and hydrophobic interactions in ligand binding.

The chemoreceptor controlling the Wsp-like transduction pathway in Halomonas titanicae KHS3 binds and responds to purine derivatives.

The chemosensory pathway HtChe2 from the marine bacterium Halomonas titanicae KHS3 controls the activity of a diguanylate cyclase. Constitutive activation of this pathway results in colony morphology alterations and an increased ability to form biofilm. Such characteristics resemble the behavior of the Wsp pathway of Pseudomonas. In this work, we investigate the specificity of Htc10, the only chemoreceptor coded within the HtChe2 gene cluster. The purine derivatives guanine and hypoxanthine were identified as ligands of the recombinantly produced Htc10 ligand-binding domain, with dissociation constants in the micromolar range, and its structure was solved by X-ray protein crystallography. The sensor domain of Htc10 adopts a double Cache folding, with ligands bound to the membrane-distal pocket. A high-resolution structure of the occupied guanine-binding pocketallowed the identification of residues involved in ligand recognition. Such residues were validated by site-directed mutagenesis and isothermal titration calorimetry analyses of the protein variants. Moreover, heterologous expression of Htc10 in a Pseudomonas putida mutant lacking the native Wsp chemoreceptor promoted biofilm formation, a phenotype that was further enhanced by Htc10-specific ligands. To our knowledge, this is the first description of binding specificity of a chemoreceptor that controls the activity of an associated diguanylate cyclase, opening the way for dynamic studies of the signaling behavior of this kind of sensory complex.

Therapeutic potential of mackerel-derived peptides and the synthetic tetrapeptide TVGF for sleep disorders in a light-induced anxiety zebrafish model

IntroductionAnxiety-like insomnia is a known risk factor for the onset and worsening of certain neurological diseases, including Alzheimer’s disease. Due to the adverse effects of current anti-insomnia medications, such as drug dependence and limited safety, researchers are actively exploring natural bioactive compounds to mitigate anxiety-like insomnia with fewer side effects. Mackerel (Pneumatophorus japonicus), a traditional Chinese medicine, is known for its tonic effects and is commonly used to treat neurasthenia. The use of mackerel protein extract has been shown to effectively improve symptoms of light-induced anxiety-like insomnia in a zebrafish model.MethodsThis study examines the effects of mackerel bone peptides (MW < 1 kDa, MBP1) and the synthetic peptide Thr-Val-Gly-Phe (TVGF) on light-induced anxiety-like insomnia in zebrafish. The evaluation is conducted through behavioral observation, biochemical marker analysis, and gene transcriptome profiling.ResultsMBP1 significantly alleviated abnormal hyperactivity and restored neurotransmitter levels (dopamine and γ-aminobutyric acid) to normal. Moreover, it mitigated oxidative stress by reducing reactive oxygen species production and malonaldehyde levels, while enhancing antioxidant enzyme activities (superoxide dismutase and catalase). This was further attributed to the regulation of lipid accumulation and protein homeostasis. Furthermore, MBP1 ameliorated sleep disturbances primarily by restoring normal expression levels of genes involved in circadian rhythm (per2 and sik1) and visual function (opn1mw2, zgc:73075, and arr3b). Molecular docking analysis indicated that TVGF exhibited good affinity for receptors linked to sleep disturbances, including IL6, HTR1A, and MAOA. TVGF exhibited sedative effects in behavioral assays, mainly mediated by regulating the normal expression of genes associated with circadian rhythm (cry1bb, cry1ba, per2, per1b and sik1), visual function (opn1mw1, gnb3b, arr3b, gnat2), purine metabolism (pnp5a), and stress recovery (fkbp5).DiscussionThese findings suggest that MBP1 and TVGF could be promising therapies for light-induced anxiety-like insomnia in humans, offering safer alternatives to current medications. Additionally, the regulation of genes related to circadian rhythm and visual perception may be a key mechanism by which MBP1 and TVGF effectively relieve anxiety-like insomnia.

High Compression in Palladium Alloy Metal Foil Pumps

Metal foil pumps (MFPs) are key components in the direct internal recycling inner fuel cycle loop for the recovery of hydrogen isotopes from deuterium-tritium fusion exhaust. Operating under vacuum conditions, they utilize superthermal hydrogen as the feed gas in a process called superpermeation. A notable feature of MFPs is their ability to pump against a pressure gradient. This study examines the compression capabilities of PdAg and PdCu MFPs at low temperatures with a constant feed pressure of 10 Pa. At 75°C, compression ratios exceeding 200 were readily achieved, with downstream pressures exceeding 4500 Pa using PdCu. For both alloys, net fluxes decreased by only ~15% at downstream pressures of 1000 Pa, which offers potential simplifications for the downstream pump train. Performance declined markedly when the temperature was elevated to 200°C. Pump curves were constructed and advocated as the most appropriate manner to assess MFP performance. Separate pressure-driven-permeation experiments at relevant conditions were conducted, providing a direct measurement of the hydrogen dissociation constant k d , which was found to be in good agreement with the previous literature. These measurements were used to predict pump curves and maximum compression ratios by balancing superpermeation with pressure-driven permeation, achieving excellent agreement with experiment. Last, experiments using asymmetric MFPs revealed the detrimental impact that surface impurities have on performance in this system.

Control of sensitivity in metal oxide electrolyte gated field-effect transistor-based glucose sensor by electronegativity modulation

In this study, the sensitivity of electrolyte-gated field-effect transistor-based glucose sensors using oxide semiconductor materials was controlled via electronegativity modulation. By controlling the enzymatic reaction between glucose and glucose oxidase, which is affected by the surface potential, the sensitivity of the glucose sensor can be effectively adjusted. To evaluate the sensitivity characteristics of the glucose sensor according to electronegativity control, devices were fabricated based on InO through Ga and Zn doping. The results confirmed that the specific sensitivity range could be adjusted by increasing the electronegativity. In addition, density functional theory calculations, confirmed that the attachment energy of the surface-functionalized material and the enzyme binding energy in the surface-functionalized thin film can be modulated depending on the electronegativity difference. The dissociation constant was controlled in both directions by doping with metal cations with larger(Ga, 1.81) or smaller(Zn, 1.65) electronegativities in InO(In, 1.78). We expect that this study will provide a simple method for the gradual and bidirectional control of the glucose sensitivity region.

Immunoinformatics investigation on pathogenic Escherichia coli proteome to develop an epitope-based peptide vaccine candidate.

Escherichia coli (E. coli), a gram-negative bacterium, quickly colonizes in the human gastrointestinal tract after birth and typically sustains a long-term, symbiotic relationship with the host. However, certain virulent strains of E. coli can cause diseases such as urinary tract infections, meningitis, and enteric disorders. The rising antibiotic resistance among these strains has heightened the urgency for an effective vaccine. This study employs immunoinformatics and a reverse vaccinology technique to identify prospective antigens and create an efficient vaccine construct. In this study, we reported the "Attaching and Effacing Protein" a novel outer-membrane protein conserved in all pathogenic E. coli strains, based on proteome screening. We developed an in silico multi-epitope vaccine that includes helper T lymphocyte (HTL), cytotoxic T lymphocyte (CTL), B cell lymphocyte (BCL), and pan HLA DR-binding reactive epitope (PADRE) sequences, along with appropriate linkers and adjuvants. Machine Learning algorithms were used to evaluate antigenicity, solubility, stability, and non-allergenicity of the vaccine construct. Additionally, molecular docking analysis revealed that vaccine construct has a strong predicted binding affinity for human toll-like receptors on the cell surface. In this context, laboratory validations are necessary to demonstrate the effectiveness of the possible vaccine design that showed encouraging findings through computational validation.

Sunflower Trypsin Monocyclic Inhibitor Selected for the Main Protease of SARS-CoV-2 by Phage Display.

Main protease (Mpro), also known as 3-chymotrypsin-like protease (3CLpro), is a nonstructural protein (NSP5) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) responsible for the cleavage of virus polyproteins during viral replication at 11 sites, which generates 12 functional proteins. Mpro is a cysteine protease that presents specificity for the amino acid residue glutamine (Gln) at the P1 position of the substrate. Due to its essential role in processing the viral polyprotein for viral particle formation (assembly), Mpro inhibition has become an important tool to control coronavirus disease 2019 (COVID-19), since Mpro inhibitors act as antivirals. In this work, we proposed to identify specific inhibitors of the Mpro of SARS-CoV-2 using a monocyclic peptide (sunflower trypsin inhibitor (SFTI)) phage display library. Initially, we expressed, purified and activated recombinant Mpro. The screening of the mutant SFTI phage display library using recombinant Mpro as a receptor resulted in the five most frequent SFTI mutant sequences. Synthetized mutant SFTIs did not inhibit Mpro protease using the fluorogenic substrate. However, the mutant SFTI 4 efficiently decreased the cleavage of recombinant human prothrombin as a substrate by Mpro, as confirmed by sodium dodecyl sulfate (SDS)-polyacrylamide gel electrophoresis (PAGE). Additionally, SFTI 4 presented a dissociation constant (KD) of 21.66 ± 6.66 µM for Mpro by surface plasmon resonance. Finally, 0.1 µM SFTI 4 reduced VERO cell infection by SARS-CoV-2 wt after 24 and 48 h. In conclusion, we successfully screened a monocyclic peptide library using phage display for the Mpro of SARS-CoV-2, suggesting that this methodology can be useful in identifying new inhibitors of viral enzymes.

The homodimerization domain of the Stl repressor is crucial for efficient inhibition of mycobacterial dUTPase

The dUTPase is a key DNA repair enzyme in Mycobacterium tuberculosis, and it may serve as a novel promising anti-tuberculosis target. Stl repressor from Staphylococcus aureus was shown to bind to and inhibit dUTPases from various sources, and its expression in mycobacterial cells interfered with cell growth. To fine-tune and optimize Stl-induced inhibition of mycobacterial dUTPase, we aimed to decipher the molecular details of this interaction. Structural background of the complex between dUTPase and a truncated Stl lacking the repressor C-terminal homodimerization domain has been described, however, the effects of this truncation of Stl on enzyme binding and inhibition are still not known. Using several independent biophysical, structural and enzyme kinetic methods, here we show that lack of the repressor homodimerization domain strongly perturbs both enzyme binding and inhibition. We also investigated the role of a mycobacteria-specific loop in the Stl-interaction. Our results show that removal of this loop leads to a ten-fold increase in the apparent inhibition constant of Stl. We present a high-resolution three-dimensional structure of mycobacterial dUTPase lacking the genus-specific loop for structural insight. Our present data suggest that potent inhibition of mycobacterial dUTPase by Stl requires the wild-type full-length protein context.

Membrane-Targeted Quantum Dot-Based BACE1 Activity Sensors for In Vitro and In Cellulo Assays.

The need for the development of specific and robust methodologies to elucidate the intricate pathological mechanisms of neurodegenerative diseases and discover effective treatments for prevention and remediation is evident. Alzheimer's disease, in particular, has become more prevalent as the global population has aged. β-Secretase, the β-site amyloid precursor protein cleaving enzyme (BACE1), is the protease that produces the β-amyloid peptide, which is considered one of the driving factors of Alzheimer's disease and an important target for treatment development. However, an understanding of its activity, modulation, and regulation is far from complete. This is in large part due to the complex nature of following its activity. Beyond the common requirements for all biosensors (ease of preparation and use), BACE1 probes also demand both stability at acidic pH and membrane localization. To overcome these hurdles, we exploit the modular self-assembly provided by fluorescent quantum dot (QD) sensors. As compared to other fluorophores, QDs provide enhanced fluorescence brightness and photostability, and their large surface area enables functionalization with peptide substrates together with targeting elements that localize the sensor to the areas of maximal BACE1 activity, all achieved through His-tag self-assembly. In vitro, the sensor demonstrated stability under acidic conditions, and using high-throughput plate reader assays, we determined BACE1 activity in-line with literature values and enabled the obtainment of the inhibitor constant of verubecestat, a small molecule inhibitor. The sensor was also transitioned to cellular experiments, where it demonstrated sensitivity to BACE1 activity and its modulation upon inhibitor treatment in a neuroblastoma cell line.

Dissociation Constant (Kd) Measurement for Small-Molecule Binding Aptamers: Homogeneous Assay Methods and Critical Evaluations.

Since 1990, numerous aptamers have been isolated and discovered for use in various analytical, biomedical, and environmental applications. This trend continues to date. A critical step in the characterization of aptamer binding is to measure its binding affinity toward both target and non-target molecules. Dissociation constant (Kd) is the most commonly used value in characterizing aptamer binding. In this article, homogenous assays are reviewed for aptamers that can bind small-molecule targets. The reviewed methods include label-free methods, such as isothermal titration calorimetry, intrinsic fluorescence of target molecules, DNA staining dyes, and nuclease digestion assays, and labeled methods, such as the strand displacement reaction. Some methods are not recommended, such as those based on the aggregation of gold nanoparticles and the desorption of fluorophore-labeled DNA from nanomaterials. The difference between the measured apparent Kd and the true Kd of aptamer binding is stressed. In addition, avoiding the titration regime and paying attention to the time required to reach equilibrium are discussed. Finally, it is important to include mutated non-binding sequences as controls.

Examining Whole Blood, Total and Free Plasma Tacrolimus in Elderly Kidney Transplant Recipients.

Therapeutic monitoring is routinely performed to ensure tacrolimus whole-blood concentrations fall within a predefined target. Despite this, patients still experience inefficacy and toxicity that could be related to variability in free (unbound) tacrolimus exposure. Therefore, the aim of this study was to compare tacrolimus-free plasma (Cu), total plasma (Cp), and whole-blood (Cwb) concentrations in adult kidney transplant recipients and to characterize tacrolimus disposition across different matrices. Twelve-hour concentration-time profiling was performed in 15 recipients, allowing simultaneous measurement of Cu, Cp, and Cwb. Pharmacokinetic parameters were estimated using noncompartmental analysis. The relationship between Cwb and Cp were examined using a capacity-limited binding model, incorporating the hematocrit fraction (fHCT) to estimate maximum binding concentration (Bmax) and dissociation constant (Kd). The relationship between Cp and Cu was evaluated using a linear binding model to estimate the nonspecific binding parameter (Nplasma). Nonlinear regression analysis was used to obtain estimates of Bmax, Kd, and Nplasma. A total of 195 paired Cwb, Cp, and Cu values were collected. The median ratios of Cwb:Cp, Cp:Cu, and Cwb:Cu were 9:1, 20:1, and 138:1, respectively. Variability in free plasma exposure was large; free trough values ranged from 8 to 51 ng/L and free area-under-the-concentration-time-curve values ranged from 424 to 7160 ng·h/L. Median (range) estimates of Bmax, Kd, and Nplasma were 90.4 µg/L (22.4-752.5 µg/L), 2.36 µg/L (0-69.2 µg/L), and 0.05 (0.035-0.085), respectively. The interindividual variability (CV%) in binding parameters was considerable (Bmax 117.2%; Nplasma 32.5%). Large variability was observed in tacrolimus-free plasma exposure and binding parameters. Future research to characterize the relationship between tacrolimus Cu and patient outcomes may be of benefit.

Virtual Screening Approaches to Identify Promising Multitarget-Directed Ligands for the Treatment of Autism Spectrum Disorder

Autism spectrum disorder is a complex neurodevelopmental disorder. The available medical treatment options for autism spectrum disorder are very limited. While the etiology and pathophysiology of autism spectrum disorder are still not fully understood, recent studies have suggested that wide alterations in the GABAergic, glutamatergic, cholinergic, and serotonergic systems play a key role in its development and progression. Histamine neurotransmission is known to have complex interactions with other neurotransmitters that fit perfectly into the complex etiology of this disease. Multitarget-directed compounds with an affinity for the histamine H3 receptor indicate an interesting profile of activity against autism spectrum disorder in animal models. Here, we present the results of our research on the properties of (4-piperazin-1-ylbutyl)guanidine derivatives acting on histamine H3 receptors as potential multitarget ligands. Through the virtual screening approach, we identified promising ligands among 32 non-imidazole histamine H3 receptor antagonists/inverse agonists with potential additional activity against the dopamine D2 receptor and/or cholinesterases. The virtual screening protocol integrated predictions from SwissTargetPrediction, SEA, and PPB2 tools, along with molecular docking simulations conducted using GOLD 5.3 and Glide 7.5 software. Among the selected ligands, compounds 25 and 30 blocked radioligand binding to the D2 receptor at over 50% at a screening concentration of 1 µM. Further experiments allowed us to determine the pKi value at the D2 receptor of 6.22 and 6.12 for compounds 25 and 30, respectively. Our findings suggest that some of the tested compounds could be promising multitarget-directed ligands for the further research and development of more effective treatments for autism spectrum disorder.

Investigation of Novel Quinoline Derivatives Targeting Epidermal Growth Factor Receptors as Anticancer Agents a Computational Approach

Background: Newer chemical entities are created and synthesis has been made feasible by a variety of computer-aided drug design (CAAD) techniques. In addition to facilitating the visualisation of the ligand-target binding process, the application of in silico methodologies and structure-based drug design (SBDD) allows for the prediction of receptor affinities and significant binding pocket locations. Objective: The goal of the current study was to identify new quinoline derivatives by computational methods specially designed to bind the EGFR receptor in the treatment of breast cancer. Materials and Methods: ChemAxon Marvin Sketch 5.11.5 was used to create derivatives of quinolines. The admetSAR online web tools and SwissADME were utilised to forecast the toxicity and pharmacokinetic characteristics of several substances. A multitude of software programmes, such as Autodock 1.1.2, MGL Tools 1.5.6, Procheck, Protparam ExPasy tool, PyMOL, and Biovia Discovery Studio Visualizer v20.1.0.19295 were also employed to ascertain the ligand-receptor interactions between quinoline derivatives and the target receptor (PDB -5GNK). Result: Almost all components were shown to be less hazardous, orally consumable and to have the appropriate pharmacokinetic characteristics based on in silico study. All newly generated derivative compounds have higher docking scores when compared to the widely used medication sorafenib. Conclusion: Interactions with quinoline analogues boost binding energy and the number of Hbonds produced, making them a suitable place to start when creating compounds for further exploration. The quinoline moiety increases its potential as a novel therapy alternative for breast cancer and could facilitate more comprehensive in vivo, in vitro, chemical-based, and pharma studies by medicinal chemists.

Amphetamine Derivatives as Potent Central Nervous System Multitarget SERT/NET/H3 Agents: Synthesis and Biological Evaluation

In this research, a variety of novel amphetamine derivatives were synthesized and assessed for their potential as multifaceted antidepressant agents. Among these compounds, compound 11b demonstrated potent inhibitory effects on both serotonin and noradrenaline transporters (SERT/NET) and high affinity for histamine H3 receptor (H3R), and displayed low affinity for off-target receptors (H1, α1) and hERG channels, which can reduce the prolongation of the QT interval. Molecular docking studies offered a rational binding model of compound 11b when it forms a complex with SERT, NET, and the histamine H3 receptor. In vivo behavioral studies, compound 11b dose-dependently reduced the immobility duration in the mouse FST and TST assays without a stimulatory effect on the locomotor activity. Furthermore, compound 11b had a favorable pharmacokinetic profile in rats. Thus, compound 11b has the potential to develop a novel class of drugs for the treatment of depression.

Camel milk-derived exosomes as novel nanocarriers for curcumin delivery in lung cancer

Cancer remains a leading cause of mortality, with non-small cell lung cancer (NSCLC) being a primary contributor to cancer-related deaths. Traditional treatment strategies such as chemotherapy, radiation, and hormone therapy often present challenges, including severe side effects, drug resistance, and toxicity. Recent advancements in nanotechnology aim to enhance the effectiveness of cancer therapies by targeting drugs selectively and specifically to tumor cells. Among these innovations, exosomes, or small extracellular vesicles (EVs), have emerged as promising carriers for drug delivery due to their natural origin and ability to encapsulate both small molecules and biologics. This study explores the use of exosomes derived from camel milk in Hail, Saudi Arabia, as a vehicle for delivering curcumin (CUR), a polyphenol with known chemopreventive properties but limited bioavailability. Camel milk was processed to isolate exosomes through differential centrifugation, followed by characterization using dynamic light scattering, zeta potential measurements, and Western blot analysis to confirm exosomal markers. The encapsulation of CUR into camel milk-derived exosomes demonstrated a 20% loading efficiency as analyzed by UPLC. In vitro antiproliferative assays revealed that the exosomal formulation of CUR (ExoCUR) significantly enhanced cytotoxicity against drug -sensitive (A549) and taxol-resistant (A549TR) lung cancer cells compared to free CUR. Molecular docking studies and molecular dynamics simulations indicated that CUR has a strong binding affinity for the epidermal growth factor receptor (EGFR), comparable to the established drug gefitinib. Furthermore, CUR effectively downregulated EGFR and STAT3 expression in cancer cells, suggesting its potential to disrupt key signaling pathways involved in tumor progression. Our findings highlight the potential of camel milk-derived exosomes as an effective and biocompatible delivery system for CUR, offering a promising strategy to overcome the limitations of current cancer therapies and enhance the therapeutic efficacy of chemopreventive agents.