Molecular Diversity最新文献

Type 2 diabetes mellitus (T2DM) is characterized by hyperglycemia and affects millions of people globally. Even after advancement and development in medical science, it is a big task to achieve victory over type 2 diabetes mellitus (T2DM). T2DM can be a reason for fatal events like stroke, cardiac failure, nephropathy, and retinopathy. Many advanced antidiabetic drugs have been introduced in the market in the past two decades, leading researchers to hunt for new target proteins and their potential modulators that can help develop newer antidiabetic drugs. This review article comprises a broad literature of the latest developments in the management of T2DM concerning new target proteins, their inhibitors, or drugs from the clinical arena employed for the successful management of symptoms of T2DM using mono, dual, or triple combination medication therapy. The review categorizes antidiabetic drugs into three general classes that include conventional drug targets, currently explored targets, and upcoming emerging targets. The review aims to merge information on the medicines affecting these targets, their mechanisms, followed by the chemical structures, and recent advancements.

Azoheteroarenes-based photoswitches with high bidirectional isomerization and long thermal half-life (t_1/2) have attracted widespread attention from researchers. The diversity of molecular scaffolds has a profound impact on photoswitching performance, herein, we incorporated dynamic connection sites and scaffold optimization to construct a series of pyrazolyazoindole/indazoles (PAIs)-based photoswitches with adjustable photoswitching properties and versatile photophysical properties upon the irradiation of special wavelength, among them 4Z-H can be switched between states "lock" and "unlock" by Cu²⁺ ion and EDTA. Thermal stability of series 3Z and 4Z was more stable than other PAIs photoswitches for their intramolecular forces, while the steric effect weakened the thermal stability of series 5D, these results clarified the relationship between the PAIs scaffolds and their photoswitching properties. More importantly, ionic photoswitches (4D-N⁺) synthesized by modification of quaternary ammonium salt fragment exhibited excellent reversible photoswitching properties in aqueous solution with alkaline condition and concentrated glutathione (GSH). The assembly of fluorescence group (triphenylamine) endowed the PAIs scaffolds with optically controlled fluorescence properties. This research elucidated the relationship of scaffold-modification-function of PAIs and would inevitably provide a reliable foundation for the development of intelligent organic materials with photoswitching systems.

Herpes Simplex Virus 2 (HSV-2) infection is a global concern, affecting around 500 million individuals worldwide and being the leading cause of genital ulcers. Although several HSV vaccine candidates have been tested in humans, as of right now, neither HSV type has a licenced vaccination available. This study utilized reverse vaccinology to conduct an extensive analysis of the entire genome of HSV-2 where glycoprotein-D was chosen for T-cell epitope predictions. Through an immunoinformatic approach, we identified 2 novel CD8 + and 8 CD4 + T-cell epitopes overlapped within conformational B-cell epitopes, which hold promise as potent vaccine candidates. These epitopes were highly immunogenic and non-toxic, and also showed significant population coverage all over the world. Notably, the predicted epitopes demonstrated cross-reactivity with HSV-1, with the majority exhibiting over 80% conservation within glycoprotein-D. In addition, the designed vaccines' physicochemical properties revealed that these vaccines are non-toxic and non-allergenic, exhibited highly antigenic properties and had the potential to interact with immune receptors effectively. Furthermore, molecular docking studies with human immune receptors, specifically TLR2, demonstrated robust interactions, supported by molecular dynamics simulations indicating stable binding and dynamics. Finally, via codon optimization and in silico cloning, the vaccine candidates were successfully expressed in Escherichia coli, demonstrating feasibility for large-scale production. Computational immune response modelling following varied dosages suggested that the immunogenic constructs could elicit significant immune responses. In conclusion, this study presents promising vaccine candidates against HSV-2, utilizing a rational design approach. However, experimental validation is necessary before advancing to clinical trials.

Novel quinoline-based derivatives 2a-e and 4a-j have been designed and synthesized as potential antiproliferative agents. The designed compounds were screened for their antiproliferative activity against sixty cell lines according to NCI protocol. The promising hybrids 4d-g are screened by MTT assays on three cancer cell lines: leukemia (MOLT-4), lung cancer (HOP-92), and breast cancer (T47D), with IC₅₀ values ranging from 4.982 ± 0.2 to 36.52 ± 1.46 µM compared to Staurosporine, with compound 4e being the most effective. Derivatives 4d-g were evaluated for their inhibitory activity on EGFR and BRAF^V600E. Compound 4e exhibited the highest inhibitory activities, with IC₅₀ values of 0.055 ± 0.002 μM for EGFR and 0.068 ± 0.003 μM for BRAF^V600E, compared to the reference drugs erlotinib (IC₅₀ 0.06 ± 0.002 μM) and vemurafenib (IC₅₀ 0.035 ± 0.001 μM), respectively. Cell cycle analysis of the HOP-92 manifested that pre-G1 apoptosis signaling took place after 4e treatment. Docking simulations were employed to analyze the modes and scores of compounds 4d-g with respect to EGFR and BRAF^V600E. The results revealed that compound 4e exhibited strong affinity for both EGFR and BRAF^V600E compared to the reference drugs with values of - 3.226 and - 3.474 kcal/mol, respectively.

This study systematically investigates the structure-activity relationships of 30 Ti-phenoxy-imine (FI-Ti) catalysts using machine learning (ML) approaches. Among the tested algorithms, XGBoost demonstrated superior predictive performance, achieving R² values of 0.998 (training set) and 0.859 (test set), with a cross-validated Q² of 0.617. Feature importance analysis identified three composite descriptors-ODI_HOMO_1_Neg_Average GGI2, ALIEmax GATS8d, and Mol_Size_L-as critical contributors, collectively accounting for > 63% of the model's predictive power. Polynomial feature expansion effectively captured nonlinear interactions between descriptors, while SHAP and ICE analyses enhanced interpretability, revealing threshold effects and descriptor-specific trends. However, the model's generalizability may be constrained by the limited dataset size (30 samples) and reliance on density functional theory (DFT)-derived descriptors, necessitating experimental validation. Additionally, the study focused solely on ethylene polymerization at 40 °C; broader applicability to diverse catalytic systems or reaction conditions requires further validation. These findings provide a data-driven framework for catalyst design, though future work should integrate experimental validation and expand datasets to refine predictive robustness.

The development of multifunctional agents has been a heated area of research for AD treatment in recent years. In this work, a series of melatonin-isatin hybrids were designed, synthesized, and evaluated as multifunctional agents for treating AD. In vitro studies indicated that most of the synthesized compounds displayed moderate to good MAO-B inhibition activities and good antioxidant activities. In particular, compounds IM-5 and IM-10 exhibited the best inhibitory activities with IC₅₀ value of 12.4 μM and 15.6 μM against MAO-B, and potent antioxidant activities with their ORAC-FL values of 4.6 and 5.2 at 5 μM, respectively. ThT assay revealed compounds IM-5 and IM-10 exhibited the optimal Aβ_1-42 self-induced aggregation inhibitory activities with the inhibition ratio of 72.8% and 69.7% at 20 μM. In addition, compounds IM-5 and IM-10 exhibited low cytotoxicities and significant neuroprotective effects on Aβ_1-42-induced and H₂O₂-induced SH-SY5Y cell injury. More importantly, compounds IM-5 and IM-10 could significantly ameliorate the memory impairment and cognition injury in scopolamine-induced mice. The SwissADME program was used to predict drug-like properties of compounds IM-5 and IM-10 which exhibited they had good pharmacokinetics and drug-likeness properties. Molecular docking study further manifested that compounds IM-5 and IM-10 showed high hMAO-B inhibitory potency. In summary, all above results revealed compounds IM-5 and IM-10 might be promising multifunctional agents for AD treatment.

This study investigates the potential of novel thiazole and hydroxybenzohydrazide derivatives as antitubercular agents. Using molecular docking and density functional theory (DFT) calculations, the binding affinities of these derivatives to the enoyl-acyl carrier protein reductase (InhA) enzyme of M. tb were assessed. InhA is crucial for the mycobacterial fatty acid synthase II (FAS-II) pathway, making it a prime target for drug development. QSAR analysis was employed to relate molecular descriptors to biological activity, and ADMET descriptors evaluated the pharmacokinetics and toxicity of the compounds. Experimental synthesis of the compounds and their characterization via IR and NMR spectroscopy confirmed their structures. DFT calculations revealed multiple conformers for each compound, with specific isomers showing enhanced stability and favorable binding interactions with InhA. These findings suggest that the synthesized derivatives have potential as new antitubercular agents, offering a basis for future drug development strategies against multidrug-resistant TB.

Antineoplastic drugs are becoming prevalent due to increasing cancer casualties around the globe. However, the adverse effects of these drugs are evident due to limited insight into the underlying mechanisms that result in non-specific binding and consequent off-target toxicity. The study investigates the side effects of an antineoplastic drug, Capecitabine, a prodrug converted into fluorouracil by Thymidine Phosphorylase (TP) and degrades the RNA of cancerous cells. However, its non-specific binding with Dihydropyrimidine dehydrogenase (DPD) leads to severe toxicities including leukoencephalopathy, neutropenia, neuropathy, and others. Hence, identifying natural analogs of Capecitabine with comparable attributes is crucial for minimizing its adverse effects. A thorough review of the literature revealed Capecitabine-induced toxicity. 723,878 natural compounds were screened, and drug-like mimics were identified. Their binding with TP and DPD was determined by employing molecular docking, which was validated by MD simulations evaluating conformational stability and variability. Four natural compounds showed better docking scores than the standard drug. The stability of the best hit was further validated with MD simulations. This study, hence, ushers in new perspectives on safer drug alternatives using potent natural analogs and could serve as a lead identification approach for the discovery of safer therapeutics.

Sparganii Rhizoma (SR) has demonstrated promising anticancer effects across various malignancies; however, its mechanisms in laryngeal cancer (LC) remain poorly understood. This study employs network pharmacology and molecular docking to investigate the molecular mechanisms underlying SR's therapeutic effects on LC, providing novel insights for its potential use in treatment. Active compounds and targets of SR were identified through the TCMSP and Pharmmapper databases, while LC-related targets were sourced from GEO, GeneCards, OMIM, and PharmGkb databases. A Venn diagram generated from these datasets highlighted 58 overlapping targets. The STRING database and Cytoscape 3.9.1 software facilitated the construction of a protein-protein interaction network for these targets, and R language analysis revealed 15 core targets. GO and KEGG enrichment analyses, conducted with the ''clusterProfiler'' package, identified relevant biological processes, cellular components, and molecular functions associated with LC treatment. KEGG analysis suggested SR primarily regulates pathways such as TNF, IL-17, and P53. Molecular docking confirmed SR's ability to bind effectively to the 15 core targets. Molecular dynamics simulations further validated stable protein-ligand interactions for MAPK1, GSK3B, and MAPK14. Core target validation across transcriptional, translational, and immune infiltration levels was performed using GEPIA, HPA, cBioPortal, and TIMER databases. In conclusion, network pharmacology, molecular docking, and dynamics simulations provided insights into SR's mechanism in LC treatment, forming a theoretical basis for further investigation of its therapeutic potential.

AKT1, a serine/threonine kinase, is pivotal in signaling and regulating cell survival, proliferation, and metabolism. This review focuses on the structural insights and the essential features required for its active conformation. AKT belongs to the AGC kinase group and has three isoforms: AKT1, AKT2, and AKT3. AKT has three functional regions: PH domain, kinase domain, and hydrophobic motif. AKT1 activation involves intricate conformational changes, including transitions in the αC-in, DFG-in, G-loop, activation loop, and PH domain out, S-spine and R-spine formation, as well as phosphorylation at Thr 308 and Ser 473, which enable AKT1 to adopt active conformation. The analysis highlights the limitations of the AlphaFold-predicted AKT1 structure, which lacks key elements of the active state, including ATP, magnesium ion coordination, phosphatidylinositol-(1,3,4,5)-tetraphosphate, substrate peptide, and phosphorylation at Thr 308 and Ser 473. This study underscores the necessity of these features for stabilizing the kinase domain and facilitating efficient substrate phosphorylation. By consolidating structural insights and activation mechanisms, this review aims to inform the development of computational models and targeted therapeutics for AKT1 activators in diseases such as hepatic ischemia-reperfusion injury, cerebral ischemia, acute hepatic failure, subarachnoid hemorrhage, and alzheimer's disease.