Computational and experimental insights into the anti-Alzheimer’s potential of Myrtillin targeting acetylcholinesterase: A DFT, molecular docking, MD simulation, and zebrafish model study

Potentially active aspirin derivative to release nitric oxide: In-vitro, in-vivo and in-silico approaches

The main objective of this research is to identify potential leads for developing potent Keap1 inhibitors. In the current research article, in-silico methods have been employed to discover potential Keap1 inhibitors. 3D-QSAR was generated using the ChemBL database of Keap1 inhibitors with IC50. The best pharmacophore was selected for the screening of three different libraries namely Asinex, MiniMaybridge, and Zinc. The molecules screened from the databases were filtered through druggability rules and molecular docking studies. The best binding molecules obtained after docking studies were subjected to physicochemical properties toxicity determination by in-silico methods. The best hits were studied for stability in the cavity of Keap1 by molecular dynamic simulations. The virtual screening of different databases was carried out separately and three leads, were obtained. These lead molecules ASINEX 508, MiniMaybridgeHTS_01719, and ZINC 0000952883 showed the best binding in the Keap1 cavity. The molecular dynamic simulations of the binding complexes of the leads support the docking analysis. The leads (ASINEX 508, MiniMaybridgeHTS_01719, and ZINC 0000952883) were stabilized in the Keap1 binding cavity throughout 100 ns simulation, with average RMSD values of 0.100, 0.114, and 0.106 nm, respectively. This research proposes three lead molecules as potential Keap1 inhibitors based on high throughput screening, docking, and MD simulation studies. These hit molecules can be used for further design and development of Keap1 inhibitors. This research provides the preliminary data for discovering novel Keap1 inhibitors. It opens new avenues for medicinal chemists to explore antioxidant-stimulating molecules targeting the Keap1-Nrf2 pathway.

The study aimed to screen prospective molecular targets of BCC and potential natural lead candidates as effective binders by computational modeling, molecular docking, and dynamic (MD) simulation studies. Based on the virulent functions, tRNA 5-methylaminomethyl-2-thiouridine biosynthesis bifunctional protein (mnmC) and pyrimidine/purine nucleoside phosphorylase (ppnP) were selected as the prospective molecular targets. In the absence of experimental data, the three-dimensional (3D) structures of these targets were computationally predicted. After a thorough literature survey and database search, the drug-likeness, and pharmacokinetic properties of 70 natural molecules were computationally predicted and the effectual binding of the best lead molecules against both the targets was predicted by molecular docking. The stabilities of the best-docked complexes were validated by MD simulation and the binding energy calculations were carried out by MM-GBSA approaches. The present study revealed that the hypothetical models of mnmC and ppnP showed stereochemical accuracy. The study also showed that among 70 natural compounds subjected to computational screening, Honokiol (3',5-Di(prop-2-en-1-yl) [1,1'-biphenyl]-2,4'-diol) present in Magnolia showed ideal drug-likeness, pharmacokinetic features and showed effectual binding with mnmC and ppnP (binding energies -7.3kcal/mol and -6.6kcal/mol, respectively). The MD simulation and GBSA calculation studies showed that the ligand-protein complexes stabilized throughout tMD simulation. The present study suggests that Honokiol can be used as a potential lead molecule against mnmC and ppnP targets of BCC and this study provides insight into further experimental validation for alternative lead development against drug resistant BCC.

MMB triazole analogs are potent NF-κB inhibitors and anti-cancer agents against both hematological and solid tumor cells

Three series of novel urushiol derivatives were designed by introducing a hydroxamic acid moiety into the tail of an alkyl side chain and substituents with differing electronic properties or steric bulk onto the benzene ring and alkyl side chain. The compounds’ binding affinity toward HDAC8 was screened by Glide docking. The highest-scoring compounds were processed further with molecular docking, MD simulations, and binding free energy studies to analyze the binding modes and mechanisms. Ten compounds had Glide scores of −8.2 to −10.2, which revealed that introducing hydroxy, carbonyl, amino, or methyl ether groups into the alkyl side chain or addition of –F, –Cl, sulfonamide, benzamido, amino, or hydroxy substituents on the benzene ring could significantly increase binding affinity. Molecular docking studies revealed that zinc ion coordination, hydrogen bonding, and hydrophobic interactions contributed to the high calculated binding affinities of these compounds toward HDAC8. MD simulations and binding free energy studies showed that all complexes possessed good stability, as characterized by low RMSDs, low RMSFs of residues, moderate hydrogen bonding and zinc ion coordination and low values of binding free energies. Hie147, Tyr121, Phe175, Hip110, Phe119, Tyr273, Lys21, Gly118, Gln230, Leu122, Gly269, and Gly107 contributed favorably to the binding; and Van der Waals and electrostatic interactions provided major contributions to the stability of these complexes. These results show the potential of urushiol derivatives as HDAC8 binding lead compounds, which have great therapeutic potential in the treatment of various malignancies, neurological disorders, and human parasitic diseases.

The in silico evaluation of 27 p-aminosalicylic acid derivatives, also referred to as neuraminidase inhibitors was the focus of the current study. To search and predict new potential neuraminidase inhibitors, this study was based on the ligand-based pharmacophore modeling, 3D QSAR, molecular docking, ADMET and MD simulation studies. The data was generated from recently reported inhibitors and divided into two groups, one of these group has 17 compounds for training and the second group has 10 compounds for testing purpose. The generated pharmacophore has known as ADDPR_4 was found statistically significant 3D-QSAR model owing the high trust scores (R2 = 0.974, Q2 = 0.905, RMSE = 0.23). Morever external validation was also employed to evaluate the prediction capacity of the built pharmacophore model (R2 pred = 0.905). In addition, in silico ADMET, analyses were employed to evaluate the obtained hits for drug likeness properties. The stability of formed complexes was further evaluated using molecular dynamics. Top two hits showed stable complexes with Neuraminidase based on calculated total binding energy by MM-PBSA. Communicated by Ramaswamy H. Sarma

Background and aimThe discovery of drugs capable of inhibiting SARS-CoV-2 is a priority for human beings due to the severity of the global health pandemic caused by COVID-19. To this end, natural products can provide therapeutic alternatives that could be employed as an effective safe treatment for COVID-19. Experimental procedureTwelve compounds were isolated from the aerial parts of C. officinalis L. and investigated for their inhibitory activities against SARS-CoV-2 Mpro compared to its co-crystallized N3 inhibitor using molecular docking studies. Furthermore, a 100 ns MD simulation was performed for the most active two promising compounds, Calendulaglycoside A (SAP5) and Osteosaponin-I (SAP8). Results and conclusionAt first, molecular docking studies showed interesting binding scores as compared to the N3 inhibitor. Calendulaglycoside A (SAP5) achieved a superior binding than the co-crystallized inhibitor indicating promising affinity and intrinsic activity towards the Mpro of SARS-CoV-2 as well. Moreover, findings illustrated preferential stability for SAP5 within the Mpro pocket over that of N3 beyond the 40 ns MD simulation course. Structural preferentiality for triterpene-Mpro binding highlights the significant role of 17β-glucosyl and carboxylic 3α-galactosyl I moieties through high electrostatic interactions across the MD simulation trajectories. Furthermore, this study clarified a promising SAR responsible for the antiviral activity against the SARS-CoV-2 Mpro and the design of new drug candidates targeting it as well. The above findings could be promising for fast examining the previously isolated triterpenes both pre-clinically and clinically for the treatment of COVID-19.

CB2R are fascinating targets for neuropathic pain and mood disorders because of their improved biological characteristics. Experimental data on 1296 cannabinoid-2 receptor inhibitors with different structural properties were used to develop a QSAR model following OECD guidelines. This study selected the best-predicted model (80:20 splitting ratio) with fitting parameters, such as R2 :0.78; F:623.6, Internal validation parameters, such as Q2 Loo :0.78; CCCcv: 0.87 and external validation parameters, such as R2 ext :0.77; Q2 F1 :0.7730; Q2 F2 :0.7730; Q2 F3 :0.76; CCCext :0.87. Following this, another QSAR model was developed by using a 50:50 split ratio for thetraining and the prediction sets, which were then swapped to evaluate the robustness of the built QSAR model by the 50:50 ratio, which also gives a deeper understanding of the chemical space. In addition, we have confirmed the QSAR result with pharmacophore modelling, and supported by molecular docking, MD simulation, MMGBSA and ADME studies. Thus, this work may enable cannabinoid 2 receptor inhibsitor development.

The ongoing quest for multifunctional organic molecules that exhibit both pharmaceutical and optoelectronic potential has intensified interest in heterocyclic compounds. Among them, hydrazone derivatives stand out for their diverse biological activities, including antimicrobial, antiviral, and anticancer properties, as well as their tunable electronic and optical properties. The presence of the –C N–NH– linkage enables effective conjugation and charge transfer, enhancing their chemical reactivity, stability, and nonlinear optical (NLO) behaviour. Owing to these versatile features, the design and synthesis of novel hydrazone-based heterocycles have gained prominence for potential applications in drug development and advanced material science. This study focuses on the design, synthesis, and characterization of a novel hydrazone derivative, N′-((2,3-dihydrobenzo[ b ][1,4]dioxin-6-yl)methylene)furan-2-carbohydrazide (DDMF). The compound combines furan and benzo dioxane moieties to enhance conjugation and biological activity. Its structural, electronic, and reactive properties were examined using FT-IR, ¹H NMR, ¹ ³C NMR, and DFT-based quantum chemical analyses. In addition, molecular docking and ADMET studies were performed to evaluate its binding affinity, drug-likeness, and pharmacokinetic behaviour, providing insight into its potential pharmaceutical and optoelectronic applications. The DDMF compound was synthesized and structurally confirmed using FT-IR, ¹H NMR, and ¹ ³C NMR spectroscopy. Theoretical investigations were carried out using Density Functional Theory (DFT) to study molecular geometry, electronic structure, and reactivity descriptors. Frontier Molecular Orbital (FMO), Natural Bond Orbital (NBO), and Molecular Electrostatic Potential (MEP) analyses were performed to assess charge distribution and reactive sites. In addition, UV-Vis, NLO, and molecular docking studies were conducted alongside ADMET and drug-likeness evaluations. The optimized geometry showed excellent correlation with experimental data, exhibiting minimal RMSD in bond lengths (0.020 Å) and bond angles (5.20°). FMO analysis revealed moderate reactivity and effective charge transfer, while NBO and MEP confirmed significant electron delocalization. The compound exhibited strong NLO activity and consistent NMR spectral agreement (¹H RMSD = 0.437 ppm; ¹³C RMSD = 1.24 ppm). UV-Vis spectra indicated distinct π→π* transitions at 275 and 350 nm. Docking studies showed stable interactions of DDMF with SARS-CoV-2 targets, supported by stable RMSD (∼1–2.5 Å) and low RMSF values. The compound demonstrated excellent intestinal absorption (94.63 %), favorable ADMET profiles, and high drug-likeness (MW 272.26 g/mol, LogP 1.84, TPSA 73.06 Ų). The combined experimental and theoretical investigations unequivocally confirm the successful synthesis, structural integrity, and stability of the DDMF molecule. The compound exhibits favorable electronic configuration, optical responsiveness, and pharmacological potential, as evidenced by its consistent spectroscopic characteristics, strong charge-transfer behaviour, and stable molecular interactions with biological targets. The integration of computational and spectroscopic analyses establishes DDMF as a structurally robust and functionally versatile molecule, making it a promising candidate for future advancements in both optoelectronic device fabrication and therapeutic drug development. • Synthesis of novel hydrazone derivative. • Investigation of electronic properties through DFT-based analysis. • Molecular docking analysis to evaluate the inhibitory potential of the synthesized compound. • Molecular dynamics simulation conducted over a 100 ns period to examine the dynamic interactions between the protein and ligand.

Nucleolin, a multifaceted RNA binding domain protein is overexpressed in various cancers leading to dysfunction of several cellular signaling pathways. Quercetin, a distinctive bioactive molecule, along with its derivatives have shown exclusive physio-chemical properties which makes them appealing choices for drug development, yet their role in targeted cancer therapy is limited. Here, the RBD domain structure of Nucleolin was modeled and stabilized by MD simulations for a period of 1000 ns. Molecular docking was performed to determine the binding capability of ligands with the target. To determine the stability of the ligand inside the binding pocket of the protein, MD simulation was performed for a period of 250 ns each for Quercetin-4'-o'-Glucoside, Quercetin_9 and Quercetin complexes. Further, in-vitro studies including cytotoxicity and RT-PCR assays were performed to validate quercetin against Nucleolin. Molecular docking and MD Simulation studies suggested a potential mechanism of interaction of Quercetin-4'-o'-Glucoside, Querectin_9 and Quercetin with Nucleolin with the binding free energy of −63.653, −58.86 and −46.9 kcal/mol, respectively. Moreover, Lys 348 and Glu379 were identified as important amino acids in ligand interaction located at the RRM2 motif of Nucleolin. In-vitro studies showed significant downregulation in Nucleolin expression by 15.18 and 2.51-fold at 48h and 72h respectively in MCF-7 cells with Quercetin (IC50 = 160 µM). Our findings suggested the potential role of specific RRM motifs in interaction with natural compounds targeting Nucleolin. This could be an effective strategy in the identification of potential molecules in targeting Nucleolin which can be further explored for developing targeted therapies for breast cancer.

Kinesin Eg5 plays an essential role in the early stages of mitosis, and it is an interesting drug target for the design of potent inhibitors. In this work, combined molecular modeling studies of molecular docking, receptor-guided QSAR methodology, and molecular dynamics (MD) simulation were performed on a series of novel S-trityl-l-cysteine (STLC) analogues as Eg5 inhibitors to understand the structural features and key residues which are involved in the inhibition. Molecular docking study was used to find the actual conformations of STLC analogues in the binding site of Eg5. Multiple linear regression (MLR), artificial neural network (ANN), and support vector machine (SVM) models were developed by the conformation which was obtained by performing docking studies. The satisfactory result of the SVM model (R2 = 0.962, SE = 0.210, RMSE = 0.190, and Q2LOO = 0.930) demonstrated the superiority of this model over other models. Also, the satisfactory agreement between experiment and predicted inhibitory values suggested that the SVM model represents good correlation and predictive power. Molecular docking was used to study the functionalities of active molecular interaction between inhibitors and Eg5. Moreover, molecular dynamics (MD) simulation was performed on the best inhibitor-Eg5 complex to investigate the stability of docked conformation and to study the binding interactions in detail. The MD simulation result showed four hydrogen bond interactions with Eg5 residues including Gly117, Glu116, Gly117, and Glu118. The outcome of this study can be used as a guideline to better interpret the protein-ligand interaction and also can assist in the designing and development of more potent Eg5 inhibitors.

Biochemical and computational insights of adenosine deaminase inhibition by Epigallocatechin gallate

6-hydroxybenzothiazole-2-carboxamide is a novel, potent and specific inhibitor of monoamine oxidase B (MAO-B), which can be used to study the molecular structure and develop new neuroprotective strategies. The aim of this study was to create an effective predictive model from 6-hydroxybenzothiazole-2-carboxamide derivatives to provide a reliable predictive basis for the development of neuroprotective MAO-B inhibitors for the treatment of neurodegenerative diseases. First, the compounds were constructed and optimized using ChemDraw and Sybyl-X software. Subsequently, QSAR modeling was performed using the COMSIA method in Sybyl-X to predict the IC50 values of a set of novel 6-hydroxybenzothiazole-2-carboxamide derivatives. The ten most promising compounds were screened based on the IC50 values and tested for molecular docking. Finally, the binding stability and dynamic behavior of these compounds with MAO-B receptors were analyzed by molecular dynamics simulation (MD). The 3D-QSAR model showed good predictive ability, with a q2 value of 0.569, r2 value of 0.915, SEE of 0.109 and F value of 52.714 for the COMSIA model. Based on the model, we designed a series of novel 6-HBC derivatives and predicted their IC50 values by the QSAR model. Among them, compound 31.j3 exhibited the highest predicted IC50 value and obtained the highest score in the molecular docking test. MD simulation results showed that compound 31.j3 was stable in binding to the MAO-B receptor, and the RMSD values fluctuated between 1.0 and 2.0Å, indicating its conformational stability. In addition, energy decomposition analysis revealed the contribution of key amino acid residues to the binding energy, especially Van der Waals interactions and electrostatic interactions play an important role in stabilizing the complex. In this study, the potential of 6-hydroxybenzothiazole-2-carboxamide derivatives as MAO-B inhibitors was systematically investigated by 3D-QSAR, molecular docking and MD simulations. The successfully designed compound 31.j3 not only demonstrated efficient inhibitory activity, but also verified its stable binding to MAO-B receptor by MD simulation, which provides strong support for the development of novel therapeutic drugs for neurodegenerative diseases. These findings provide important theoretical basis and practical guidance for future drug design and experimental validation.

Molecular docking studies on the binding interaction and stability of ovalbumin with an intramolecular charge transfer dye 4-dicyanomethylene-2,6-dimethyl-4H-pyran in the presence of an antibiotic: Tetracycline

Synthesis of novel antipyrine-azole-S-alkyl derivatives antimicrobial activity, molecular docking, and computational studies