Molecular Docking Approach Research Articles

Identification of novel inhibitors targeting PI3Kα via ensemble-based virtual screening method, biological evaluation and molecular dynamics simulation.

PIK3CA gene encoding PI3K p110α is one of the most frequently mutated and overexpressed in majority of human cancers. Development of potent and selective novel inhibitors targeting PI3Kα was considered as the most promising approaches for cancer treatment. In this investigation, a virtual screening platform for PI3Kα inhibitors was established by employing machine learning methods, pharmacophore modeling, and molecular docking approaches. 28 potential PI3Kα inhibitors with different scaffolds were selected from the databases with 295,024 compounds. Among the 28 hits, hit15 exhibited the best inhibitory effect against PI3Kα with IC50 value less than 1.0µM. The molecular dynamics simulation indicated that hit15 could stably bind to the active site of PI3Kα, interact with some residues by hydrophobic, electrostatic and hydrogen bonding interactions, and finally induced PI3Kα active pocket substantial conformation changes. Stable H-bond interactions were formed between hit15 and residues of Lys776, Asp810 and Asp933. The binding free energy of PI3Kα-hit15 was -65.3kJ/mol. The free energy decomposition indicated that key residues of Asp805, Ile848 and Ile932 contributed stronger energies to the binding free energy. The above results indicated that hit15 with novel scaffold was a potent PI3Kα inhibitor and considered as a promisingcandidateforfurther drugdevelopment to treat various cancers with PI3Kα over activated.

Exploring phytochemical inhibitors of protein kinase C alpha for therapeutic targeting of Alzheimer's disease.

Alzheimer's disease (AD) is characterized by neurodegeneration linked to amyloid-β (Aβ) plaques and tau protein tangles. Protein kinase C alpha (PKCα) plays a crucial role in modulating amyloid-β protein precursor (AβPP) processing, potentially mitigating AD progression. Consequently, PKCα stands out as a promising target for AD therapy. Despite the identification of numerous inhibitors, the pursuit of more effective and precisely targeted PKCα inhibitors remains crucial. In this study, we employed an integrated virtual screening approach of molecular docking and molecular dynamics (MD) simulations to identify phytochemical inhibitors of PKCα from the IMPPAT database. Molecular docking screening via InstaDock identified compounds with strong binding affinities to PKCα. Subsequent ADMET and PASS analyses filtered out compounds with favorable pharmacokinetic profiles. Interaction analysis using Discovery Studio Visualizer and PyMOL further elucidated binding conformations of selected compounds with PKCα. Top hits underwent 200 ns MD simulations using GROMACS to validate stability of the interactions. Finally, we propose two phytochemicals, Kammogenin and Imperialine, with appreciable drug-likeliness and binding potential with PKCα. Taken together, the findings suggest Kammogenin and Imperialine as potential PKCα inhibitors, highlighting their therapeutic promise for AD after further validation.

NOVEL HYBRIDS OF QUINOLINE LINKED PYRIMIDINE DERIVATIVES AS CYCLOOXYGENASE INHIBITORS: MOLECULAR DOCKING, ADMET STUDY, AND MD SIMULATION

Objective: Finding novel anti-inflammatory compounds is a crucial sector of research despite the significant advances this field has made. Inefficiency and unfavorable side effects are indeed potential drawbacks of conventional therapy utilizing steroidal or nonsteroidal drugs. This study aims to screen the designed quinoline-linked pyrimidine derivatives as Cyclooxygenase (COX) inhibitors. Methods: In the present study, we assessed the binding interactions of designed quinoline-linked pyrimidine derivatives with COX enzymes using a molecular docking approach. Using Molecular Dynamics (MD) simulations, the compound’s behavior was further investigated and its stability and conformational dynamics were demonstrated. Schrödinger's QikProp program was utilized to analyze the Absorption, Distribution, Metabolism, and Excretion (ADME) properties and toxicity properties were further investigated using Osiris Property Explorer. Additionally, the protein-ligand complexes' binding free energy has been ascertained using the Molecular Mechanics/Generalized Born Surface Area (MM-GBSA) approach, which offered crucial information regarding the strength of their interactions. Results: The designed quinoline-linked pyrimidine derivatives fulfilled the Lipinski Rule of Five and had physicochemical characteristics within acceptable ranges, better ADME properties, and were non-toxic. Among the designed compounds, QPDU1 and QPDT6 showed correspondingly good docking scores for COX-1 and COX-2. QPDT6 was additionally analyzed by MD simulation studies to thoroughly examine the interaction between protein and ligand and their stability. Conclusion: The proposed compounds exhibit strong binding affinities to COX enzymes, stable interactions in MD simulations, and favorable drug-like features. These results support the need for more research and development of these substances as possible anti-inflammatory drugs.

Identification of novel DNA Gyrase inhibitor by combined Pharmacophore modeling, QSAR analysis, Molecular docking, Molecular dynamics, ADMET and DFT approaches

DNA gyrase, an ATP-dependent enzyme, plays a critical role in DNA replication, transcription, and recombination in Mycobacterium tuberculosis (MTB). While fluoroquinolones are effective antibacterial agents targeting DNA gyrase, their clinical use is often limited due to side effects and the emergence of bacterial resistance. In this study, we developed a quantitative structure-activity relationship (QSAR) model to predict the anti-tubercular activity of Quinoline-Aminopiperidine derivatives targeting the DNA gyrase enzyme, using a dataset of 48 compounds obtained from the literature. The QSAR model was validated using both internal and external validation metrics. Model 4, the best predictive model, demonstrated a strong fit with an R² of 0.8393, an adjusted R² (R²adj) of 0.8010, and a lack of fit (LOF) parameter of 0.0626. The QSAR results revealed that DNA gyrase inhibition is significantly influenced by factors such as partition coefficient, molecular flexibility, hydrogen bonding potential, and the presence of fluorine atoms. Twelve quinoline-aminopiperidine derivatives were designed, and their anti-tubercular activity was predicted using QSAR model-4. These compounds were further assessed for pharmacokinetic properties, toxicity, and binding affinity to DNA gyrase. Pharmacophore modeling was also performed and validated using MOE software. The final pharmacophore model includes the features of two aromatic hydrophobic features, one hydrogen bond acceptor, and one hydrogen bond donor. The results indicated that designed compounds QA-3 and dataset compounds C-34 exhibit favorable drug-likeness properties. Molecular dynamics simulations confirmed the stable binding of compounds QA-3 and C-34 to the DNA gyrase protein, highlighting their potential as promising anti-tubercular agents. The developed QSAR Model-4 will facilitate the prediction of anti-tubercular activity in Quinoline-Aminopiperidine derivatives.

Developing a chimeric multiepitope vaccine against Nipah virus (NiV) through immunoinformatics, molecular docking and dynamic simulation approaches

Nipah virus (NiV) is a highly lethal zoonotic pathogen that poses a significant threat to human and animal health. Unfortunately, no effective treatments have been developed for this deadly zoonotic disease. Therefore, we designed a chimeric multiepitope vaccine targeting the Nipah virus (NiV) glycoprotein and fusion protein through immunoinformatic approaches. Therefore, the vaccine was developed by combining promising and potential antigenic MHC-I, MHC-II, and B-cell epitopes obtained from the selected proteins. When combined, the MHC-I and MHC-II epitopes offered 100% global population coverage. The physicochemical characterization also exhibited favorable properties, including solubility and potential functional stability of the vaccine within the body (GRAVY score of -0.308). Structural analyses unveiled a well-stabilized secondary and tertiary structure with a Ramachandran score of 84.4% and a Z score of -5.02. Findings from docking experiments with TLR-2 (-1089.3 KJ/mol) and TLR-4 (-1016.7 KJ/mol) showed a strong affinity of the vaccine towards the receptor. Molecular dynamics simulations revealed unique conformational dynamics among the "vaccine-apo," "vaccine-TLR-2," and "vaccine-TLR-4" complexes. Consequently, the complexes exhibited significant compactness, flexibility, and exposure to solvents. The results of the codon optimization were remarkable, as the vaccine showed a significant amount of expression in the E. coli vector (GC content of 45.36 % and a CAI score of 1.0). The results of immune simulations, however, showed evidence of both adaptive and innate immune responses induced by the vaccine. Therefore, we highly recommend further research on this chimeric multiepitope vaccine to establish its efficacy and safety against the Nipah virus (NiV).

Development of Promising CDK5 Inhibitors Using Structure‐Based Pharmacophore Modeling, Molecular Docking, and Molecular Dynamics Approach

AbstractCancer is highlighted as one of the deadliest diseases globally, with CDK5 identified as a key enzyme in cancer progression. Despite its potential as a therapeutic target, developing CDK5 inhibitors has been challenging. We used multicomplex‐based pharmacophore modeling on CDK5 complexes, identifying hydrophobic groups, hydrogen bond donors, and acceptors as crucial inhibition features. Validated models were used for the virtual screening of drug‐like natural product databases. Thereafter, the screened candidates were selected to study their binding pattern and binding efficiency in the enzyme. Four molecules were shortlisted and analyzed for electrostatic potential (ESP) energy maps. Molecular dynamic simulations and free energy calculations on the docked complexes revealed stable behavior for all, with three (CNP0299652, CNP0362830, and CNP0009633) showing higher Poisson Boltzmann surface area continuum solvation (MM‐PBSA) binding scores than the reference. These candidates demonstrated drug‐like characteristics, crucial amino acid interactions, favorable electron potentials in ESP plots, stable dynamicigher free energy, highlighting their potential as CDK5 inhibitors.

Elucidating the interactions of advanced glycation end products with RAGE, employing molecular docking and MD simulation approaches: Implications of potent therapeutic for diabetes and its related complications

Elucidating the interactions of advanced glycation end products with RAGE, employing molecular docking and MD simulation approaches: Implications of potent therapeutic for diabetes and its related complications

Rational design of some 1,3,4 trisubstituted pyrazole-thiazole derivatives to serve as MtInhA inhibitors using QSAR, ADMET, molecular docking, MM-GBSA, and molecular dynamics simulations approach

Using computational approaches, the potential efficacy and specificity of 1,3,4 trisubstituted pyrazole derivatives as MtInhA inhibitors which will aid in rational drug design for tubercular therapy were forecasted. QSARINS software was used to investigate the ability of compound to inhibit MtInhA. Three noteworthy descriptors with significant correlations and impressive statistical values were identified by the produced QSAR model: Correlation of coefficient(R2)= 0.8789, Cross-validation leave one out correlation coefficient (Q2LOO)= 0.8402, Cross-validation leave-many-out correlation coefficient(Q2LMO)=0.7321, Concordance Correlation Coefficient for cross-validation(CCCtr)=0.9355, CCCext =0.888. The descriptor generated by the QSAR model includes Centered Broto-Moreau autocorrelation weighted by Sanderson electronegativities (ATSC1e), Radial distribution functions at 15.0 and 2.0 Å inter-atomic distances weighted by relative van der Waals volumes (RDF150v), Radial distribution function – 145/weighted by relative I-state (RDF145s). Using these, three descriptor model was developed and the designed compounds were evaluated for their MtInhA inhibitory activity. Further, ADMET prediction and Molecular docking studies were carried out using Schrodinger's Software. ADMET prediction were used to evaluate drug likeliness and molecular docking was used to determine the interactions of designed compounds with the target protein. After the docking studies, the compounds were subjected for MM-GBSA calculations and MD simulation. Among the designed compounds, AP2 had the strongest binding affinity towards the MtInhA enzyme. The result of this work helps to understand the key interactions between 1,3,4 trisubstituted pyrazole derivatives and MtInhA protein that may be necessary to develop new lead compounds against tuberculosis.

Probing marine macroalgal phlorotannins as an antibacterial candidate against Salmonella typhi: Molecular docking and dynamics simulation approach

The increasing prevalence of drug-resistant bacterial strains, including multidrug-resistant Salmonella typhi, has raised significant concerns about the effectiveness of traditional antimicrobial treatments. To address this issue, the study employed computational techniques to evaluate the potential of natural phlorotannins derived from marine algae as alternative antibacterial agents against S. typhi. A total of 104 phlorotannins were retrieved from PubChem and subjected to molecular docking with three specific target proteins of S. typhi. Among the compounds tested, Compound-10 a derivative of dieckol exhibited the highest affinity for the Omptin family outer membrane protease [pgtE] protein and for the cell invasion protein sipB protein. The docking results revealed strong interactions between the phlorotannins and the target proteins, indicating their potential as antimicrobial agents. Additionally, pharmacokinetic studies using the QikProp module demonstrated that the top-ranked compounds showed favourable drug-like properties with good druggable efficiency, moderate gut-blood barrier transport, and high human oral absorption. Most compounds passed the rule of three and five drug-likeness criteria, indicating their potential as drug candidates. Furthermore, MM-GBSA analysis provided relative binding affinity estimations, ranking the compounds based on their calculated binding energies. These results align reasonably well with experimental binding affinities, reinforcing the potential of the identified compounds as potent binders to their target proteins. This study highlights the promising antibacterial potential of marine phlorotannins against S. typhi. Further in vitro studies are warranted to validate these compounds' efficacy and anti-microbial activity, ultimately paving the way for developing new therapeutic strategies to combat drug-resistant Salmonella infections.

Diosgenin attenuates nonalcoholic fatty liver disease through mTOR-mediated inhibition of lipid accumulation and inflammation

Excessive hepatic lipid accumulation and inflammatory injury are significant pathological manifestations of nonalcoholic fatty liver disease (NAFLD). Our previous research discovered that diosgenin, a natural steroidal saponin derived from Chinese herbs, can reduce hepatic lipid accumulation and steatosis; however, the exact mechanism remains unclear. This study aimed to investigate the protective mechanisms of diosgenin against NAFLD. We utilized network pharmacology and molecular docking approaches to identify the pathways through which diosgenin improves NAFLD. In high-fat diet (HFD)-fed rats, we measured biochemical markers in the serum and liver. Liver histopathology was assessed using HE and oil-red O staining. In free fatty acids (FFAs)-induced HepG2 cells, we employed the cell transfection overexpression method to verify the regulatory relationship of the identified pathways. The mechanisms in vitro and in vivo were examined using quantitative polymerase chain reaction and western blot analyses. Bioinformatics analysis indicated that the mTOR-FASN/HIF-1α/RELA/VEGFA pathway may be the target pathway for diosgenin in alleviating NAFLD. Diosgenin inhibited hepatic lipid accumulation and pro-inflammatory cytokines in HFD-fed rats, and reduced intracellular lipid accumulation as well as TG, TC, IL-1β, and TNF-α levels in FFAs-induced HepG2 cells. Mechanistically, diosgenin downregulated the expression of p-mTOR, FASN, HIF-1α, RELA, and VEGFA, which are associated with lipid synthesis and inflammation. Overexpression of mTOR abolished the beneficial effects of diosgenin on lipid reduction and inflammation, as well as its inhibitory effects on the expression of FASN, HIF-1α, RELA, and VEGFA. In conclusion, diosgenin alleviates NAFLD through mTOR-mediated inhibition of lipid accumulation and inflammation.

Molecular docking study of modified isoniazid compounds on mycolic acid synthase in the cell wall of mycobacterium tuberculosis

Using the isoniazid in antituberculosis therapy can lead to mutations in the KatG and inhA genes of Mycobacterium tuberculosis, resulting in the development of resistance and necessitating modifications to the isoniazid compound. This study aims to assess the potential and level of toxicity of modified compounds, namely 4-pyridine carboxylic acid, pyridine aldehyde, and methyl pyridine, on the mycolic acid receptor through a molecular docking approach. PyRx was employed for the docking process using a protocol with an exhaustiveness of 106 and a center grid box at X=42.424, Y=22.4321, and Z=46.6391. Additionally, the ProTox-II website was used to determine the toxicity level of the test compounds. The results obtained from this research consist of the respective affinity values of the test compounds: -6, -5.4, and -5.2 kcal/mol. The toxicity levels of the test compounds are as follows: class 5, class 4, and class 4. All test compounds interact with amino acids on the target protein, specifically with residue numbers Histidine (HIS A:8), Phenylalanine (PHE A:142) through hydrogen bonding, Leucine (LEU A:95) through pi-Sigma (π) bonding, and Valine (VAL A:12) through pi-Alkyl (π) bonding. In conclusion, the 4-pyridine carboxylic acid compound exhibits potential as a promising drug candidate but comes with a high level of toxicity

Uncovering the taste features: Applying machine learning and molecular docking approaches to predict umami taste intensity of peptides

The umami taste, often described as the fifth basic taste, plays a pivotal role in the culinary world, significantly contributing to the overall flavor profile and consumer satisfaction of food products. Precise prediction and enhancement of umami taste intensity using the identification of umami peptides can lead to groundbreaking advancements in the food industry. This study presents a novel approach to combine machine learning and molecular docking techniques. The machine learning algorithm is based on a cascade algorithm combining CatBoost and BERT models to predict the umami taste intensity of peptides accurately. Our research reveals that combinations of specific amino acids, such as aspartic acid with alanine or glycine and lysine with glycine or histidine, have been identified to enhance the umami taste in foods. The model is available as a user-friendly web server at https://taste.infochemistry.ru. This study contributes to the scientific understanding of taste perception and provides a valuable tool for the food industry to innovate and improve product quality by optimizing umami taste profiles.

Therapeutic mechanism and key active ingredients of Yinxing Mihuan Oral Solution in coronary heart disease comorbidity with anxiety: A network pharmacology and molecular docking approach.

Yinxing Mihuan Oral Solution (YMOS) is a Chinese patent medicine for treating coronary heart disease combined anxiety (CHDCA), but the molecular mechanism of its treatment is still unclear. This article aims to understand the molecular mechanism, optimize clinical drug use, and guide new drug development. Using the Swiss Target Prediction database, we obtained the main chemical composition of YMOS. Then we used network pharmacology to identify their potential targets. Network construction, coupled with protein-protein interaction and enrichment analysis was used to identify representative components and core targets. Finally, molecular docking simulation was conducted to further refine the drug-target interaction. Forty-two active chemicals were found in YMOS and 91 target genes related to CHDCA. The treatment effect was found to be associated with 1908 biological processes and 160 pathways, as revealed by the outcomes of the enrichment analysis. The potential therapeutic mechanisms of the drug are closely related to its antioxidant, anti-inflammatory, and vascular function regulation pathways, and the main core targets include albumin, tumor necrosis factor, TP53, AKT serine/threonine kinase 1, interleukin 1 beta, and vascular endothelial growth factor A. The potential molecular mechanisms of YMOS in CHDCA treatment were identified using network pharmacology and molecular docking approaches. The results reveal the systemic biological implications of YMOS. This study has systematically uncovered the molecular mechanism of YMOS for the first time, offering fresh insights for evidence-based clinical applications.

Anxiolytic Efficacy of Indirubin: In Vivo Approach Along with Receptor Binding Profiling and Molecular Interaction with GABAergic Pathways.

Anxiety is a natural response to stress, characterized by feelings of worry, fear, or unease. The current research was conducted to investigate the anxiolytic effect of indirubin (IND) in different behavioral paradigms in Swiss albino mice. To observe the animal's behavioural response to assess anxiolytic activity, different tests were performed, such as the open-field (square cross, grooming, and rearing), swing, dark-light, and hole cross tests. The experimental mice were administered IND (5 and 10 mg/kg, p.o.), where diazepam (DZP) and vehicle were used as positive and negative controls, respectively. In addition, a combination treatment (DZP+IND-10) was provided to the animals to determine the modulatory effect of IND on DZP. Molecular docking approach was also conducted to determine the binding energy of IND with the GABAA receptor (α2 and α3 subunits) and pharmacokinetics were also estimated. The findings revealed that IND dose-dependently significantly (p<0.05) reduced the animal's movement exerting calming behavior like DZP. IND also demonstrated the highest docking score (-7.7 kcal/mol) against the α3 subunit, while DZP showed a lower docking value (-6.4 kcal/mol) than IND. The ADMET analysis revealed that IND has proper drug-likeness and pharmacokinetic characteristics. In conclusion, IND exerted anxiolytic effects through GABAergic Pathways.

Molecular docking and MD simulation approach to identify potential phytochemical lead molecule against triple negative breast cancer

Molecular docking and MD simulation approach to identify potential phytochemical lead molecule against triple negative breast cancer

Insights Into Molecular Interactions and Biological Effect of Natural Stilbenoids at The TRPA1 Ion Channel.

Natural stilbenoids, polyphenolic compounds notably found in Scots pine and Norway spruce, have been shown to exhibit analgesic and anti-inflammatory effects through the TRPA1 channel, making them promising hits for the development of novel agents to treat inflammatory diseases and pain. In this study, we computationally investigated the putative binding sites of natural stilbenoids at the TRPA1 channel. Specifically, we employed molecular docking and MD simulation approaches to explore three known ligand binding sites at TRPA1. Furthermore, the biological effect of the studied compounds on TRPA1 was assessed in vitro using a fluorescent imaging plate reader (FLIPR™) calcium assay. Our modeling results suggest the stilbenoids exhibit higher affinity to the two agonist binding sites than the antagonistic site. Consistent with this, the in vitro results showed that the stilbenoids act as moderate TRPA1 channel agonists and likely inhibit the channel through a desensitization mechanism rather than act as pure TRPA1 antagonists. Additionally, our bias-force pulling simulations proposed an additional binding pocket for the natural stilbenoids that is distinct from the known ligand binding sites at TRPA1. The results of the study give useful insights into structure-based design and development of novel therapeutic TRPA1 modulators.

A Preliminary Antidepressant Assessment of a Novel Piperoyl Amide (Y3) Isolated and Elucidated from Piper nigrum Drupes Extract, Justifying Interaction Over MAO-A enzyme: An in vivo, in vitro and Molecular Docking Approach

This research aims to confirm the preliminary antidepressant activity of a newly discovered piperoyl amide (Y3) obtained from the extract of Piper nigrum (P. nigrum) drupes, through the inhibition of MAO-A enzyme. Column chromatography was employed for isolation and purification of Novel piperoyl-alkyl amide (Y3) which was eluted in a solvent mixture of Chloroform-Methanol (97:3). Structure elucidation was performed by implying spectroscopic techniques. Invitro in-comparison MAO activity assessment was performed between Y3 and piperine further confirmed by Molecular docking via Auto Dock Tools 1.5.6, Vina, and PyMOL. Invivo antidepressant activity was evaluated by the Despair Test in albino mice. Novel piperoyl-alkyl amide (Y3) was isolated and purified by column chromatography and elucidated spectroscopically. The antidepressant activity of Y3 at 10 and 20 mg/kg doses shown a significant decrease in immobility-time (IT) in contrast to stressed-control group at 107.0±7.6 sec (P&lt;0.05) and 96.0±7.6 sec (P&lt;0.01), respectively. Y3 shown a decent MAO-A inhibitory activity but lower than piperine showing IC50=20.24 µM, Vmax=1.375±0.3 nM/min/mg, Km=1.379×10-16 µM with a stronger interaction and better affinity (-12.6 kcal/mol) towards the active-site of MAO-A. Y3 was isolated and elucidated as (12E,14E)-15-(benzo[d] [1,3] dioxol-5-yl)-N-ethylpentadeca-12,14-dienamide. It proved a good antidepressant at 10 and 20 mg/kg doses. Molecular docking over MAO-A and QSAR studies depicted a better affinity score of Y3 than Piperine. Keywords: Piperoyl amide, Structure elucidation, antidepressant activity, molecular modeling, Piperine

Unraveling Cordia myxa’s anti-malarial potential: integrative insights from network pharmacology, molecular modeling, and machine learning

Malaria is a potentially fatal infective illness caused due to parasites that belong to the Plasmodium genus, which are transferred to humans with the help of the stings of affected female Anopheles mosquitoes, and it persists as a serious public wellness problem worldwide. Cordia myxa is a medicinal plant that possesses various medicinal characteristics like antimicrobial, anti-inflammation, antioxidant, and antidiabetic activities, which makes it an important natural resource for the therapy of different maladies in traditional medicine. In this investigation, a certain network pharmacology method has been utilized to identify the potent active components, possible targets as well as signaling pathways present in C. myxa in relation to malaria therapy. The active compounds were submitted to molecular docking approaches to validate their successful activity against the potential targets. The study concluded that three constituents named cosmosiin, stigmastanol, robinetin, and quercetin were highly active and could regulate the expression of Interleukin 6 (IL6) and Cysteine-aspartic acid protease 3 (CASP3), which may act as a potential therapeutic target for malaria treatment. These analyses are validated by molecular dynamics simulation which reflects on the overall structural stability of the intermolecular conformation and interactions. These results can also be witnessed in simulation-based trajectories binding free energies, which concluded the significant role of electrostatic and van der Waals energies in total intermolecular interactions. Finally, we utilized machine learning to predict the anti-malarial activity of C. myxa compounds, comparing them with approved drugs. Using the Chemprop model and MAIP predictions, we assessed ten compounds, revealing their potential as lead anti-malarial agents. This study establishes a groundwork for comprehending the function of the anti-malaria action of C. myxa.

Exploring the therapeutic potential of Pongamia pinnata plant extract against skin cancer: In-silico and in-vitro study

Ethnopharmacological relevancePongamia pinnata Linn belonging to the Fabaceae family, holds significance as a crucial remedy in herbal medicine. Aim of the studyThe present study aims to determine the anticancer and antioxidant properties of the plant extract. Material and methodsThe methodology includes extraction of the leaf sample by soxhlet method followed by the phytochemical analysis of leaf extract. Through in-silico approach three anti-cancer receptors were analyzed with 10 ligands which were studied using molecular docking and molecular simulation approach. The prediction outcome of in-silico tests on the petroleum ether plant extract served as a foundation for the subsequent in-vitro studies. Phytochemical profiling of plant extracts using GC-MS analysis, and cytotoxicity testing for A431 skin cell line using MTT Assay. ResultsThe binding affinity of Pongamia pinnata as an anti-cancer agent with respect to the targets EGF, EGFR, ERBB2 was evident. In the in-silico studies, the highest binding affinity with respect to the docked complexes were -8.2 kcal/mol for EGF with Pazopanib, -8.3 kcal/mol for EGFR with pongachromene, -9.5 kcal/mol for ERBB2 with Vitexin. Further these complexes were assessed by molecular simulations and it confirms the stability of these complexes. In in-vitro studies the HPLC results indicated the presence of 0.176 ± 0.001 mg/mL of phenols and 0.159 ± 0.001 mg/mL of flavonoids. The IC50 value was 1.051 which revealed the antioxidant potential. The cytotoxicity studies against the A431 skin cancer cell resulted in an IC50 concentration of 89.59 μg/ml. ConclusionsThese studies show that P. pinnata has the properties to serve as a therapeutic agent for the treatment of skin tumors. The molecular simulation studies approach is a predictor for drug discovery, acting as a basis for testing anti-cancer activity against the skin tumor. As a result, it can be a useful source of crude drug for the treatment of melanomas.

Exploring the therapeutic mechanisms of millet in obesity through molecular docking, pharmacokinetics, and dynamic simulation.

Obesity, a prevalent global health concern, is characterized by excessive fat accumulation, which confers significant nutritional and health risks, including a shortened lifespan and diminished wellbeing. Central to the regulation of energy balance and food intake is the fat mass and obesity-associated (FTO) protein, which modulates the interplay between caloric consumption and energy expenditure. Given its pivotal role in obesity regulation, the identification of effective inhibitors targeting the FTO protein is imperative for developing therapeutic interventions. Currently available anti-obesity drugs are often plagued by undesirable side effects. In contrast, natural plant-derived bioactive compounds are gaining prominence in the pharmaceutical industry due to their efficacy and lower incidence of adverse effects. Little Millet, a traditional cereal known for its rich nutritional profile and high satiety index, was investigated in this study using molecular docking and dynamics simulation approach for its potential as an anti-obesity agent. Our research demonstrates that four bioactive compounds from Little Millet exhibit superior binding energies ranging from 7.22 to 8.83 kcal/mol, compared to the standard anti-obesity drug, orlistat, which has a binding energy of 5.96 kcal/mol. These compounds fulfilled all drug-like criteria, including the Lipinski, Ghose, Veber, Egan, and Muegge rules, and exhibited favorable profiles in terms of distribution, metabolism, and prolonged half-life without toxicity. Conversely, orlistat was associated with hepatotoxicity, a reduced half-life, and multiple violations of drug-likeness parameters, undermining its efficacy. Molecular dynamics simulations and Gibbs free energy assessments revealed that the four identified compounds maintain stable interactions with key residues in the FTO protein's active site. We propose further validation through extensive In vitro, In vivo, and clinical studies to ascertain the therapeutic potential of these compounds in combating obesity.