Issue #34: Tailored pyrrole-based imidazothiazole scaffolds: Synthetic elaboration, enzyme kinetic profiling and DFT-guided molecular docking toward Antidiabetic therapeutics.

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Signal of the Day

Tailored pyrrole-based imidazothiazole scaffolds: Synthetic elaboration, enzyme kinetic profiling and DFT-guided molecular docking toward Antidiabetic therapeutics.

The current research study highlights the successful biological evaluation of novel imidazo-thiadiazole based pyrrole derivatives, with the aim of targeting diabetes mellitus through alpha-amylase and alpha-glucosidase inhibition. These compounds exhibited promising anti-diabetic activity, notably compound 8 emerged as a leading candidate (3.50 ± 0.20, and 4.10 ± 0.10 µM) which outperformed the potential of acarbose (6.20 ± 0.10 and 6.70 ± 0.20 µM), a reference drug. The enhanced biological potential of compound 8 is likely due to incorporation of hydroxyl substituents, which may strengthen its binding affinity and selectivity towards the targeted enzymes. Molecular docking revealed stable interactions with key amino acids residues of targeted enzymes, providing mechanistic basis for its potent inhibitory activity. To further established their therapeutic relevance, enzyme kinetic study was conducted which confirmed their mode of inhibition while ADMET analysis indicated favorable pharmacokinetics and safety profiles. Moreover, pharmacophore modeling and molecular dynamics simulations reinforced the stability and binding efficiency of lead compounds under dynamic biological conditions. All the experimental results and in silico validations demonstrate that potent compounds possess significant anti-diabetic activity profile. Their ability to outperform an existing diabetes mellitus inhibitor and maintaining a favorable safety profile suggest that these compounds have potential to be further used in drug development and optimization against Diabetes Mellitus.

Why this matters: Provides actionable mutations to enhance catalytic efficiency or thermostability.

Also Worth Reading

Identification of novel umami peptides in fermented milk and elucidation of their umami mechanism via molecular docking and molecular dynamics simulations.

A streamlined workflow integrating multi-model machine learning, bioinformatics filtering, sensory evaluation, molecular docking and dynamics simulations was applied to mine umami peptides in fermented milk. Based on dual selection criteria-(i) unanimous umami prediction by UMPred-FRL, Umami_YYDS, Umami-MRNN, Mlp4Umami, Umami_TD, (ii) favorable in silico properties (non-toxicity, non-allergenicity, good solubility, stability, potential bioactivity)-ten out of the 1505 peptides identified by peptidomics were shortlisted as umami peptide candidates. Sensory evaluation confirmed that eight imparted an umami taste. Molecular docking revealed that umami peptides interact with TAS1R1/TAS1R3 primarily through hydrogen bonds formed between their hydrophilic residues (predominantly Lys, Tyr) and receptor hydrophilic residues (notably Lys/Arg in TAS1R1, Asn in TAS1R3). Residues Arg307/Met375/Lys379 of TAS1R1, and Arg327/443/Ala329/Val437/Met452 of TAS1R3 were key interaction sites. Molecular dynamics simulations showed that the three peptides with the highest umami taste-EVFTKK, SKKTVDME, VMGVSKVKE-formed stable and compact complexes with TAS1R1/TAS1R3. This work enhances understanding of the umami characteristics of fermented milk.

Identification of Three Novel Umami Peptides from Metagenomics of Traditional Fermented Fish, Suanyu, and Receptor Binding Mechanism via the Graph Neural Network-Based Model and Molecular Dynamics Simulation.

Fermented fish products are vital sources of umami peptides. In this study, a hierarchical graph attention network-based model was developed to identify candidate umami peptides. Via an integrated approach combining metagenomics, molecular docking, attention weight analysis, molecular dynamics simulations, and experimental validation, three novel umami peptides (GYSSYK, LYSDSK, and TRTKASY) were identified from the Suanyu system, a traditional fermented fish product. It was revealed that T1R1 and T1R3 could form stable complexes with these peptides involving critical residues: GLU301, ARG277, LYS328, SER384, ASP147, GLN278, and HIS71. In sensory evaluation, candidate peptides showed high umami properties with umami threshold values of 0.28 (±0.14) mg/mL. Overall, this study presents a hierarchical graph attention network-based screening methodology for the rapid screening and in-depth study of umami peptides.

Graphene oxide functionalized metalloporphyrins as advanced antimicrobial nanomaterials with integrated synthesis, characterization and molecular docking evaluations.

This study reports the synthesis and doping of reduced graphene oxide (rGO) with metalated porphyrins-nickel [Ni-t(OH)4-Por] (M1-Por), zinc [Zn-t(OH)4-Por] (M2-Por), and manganese [Mn-t(OH)4-Por] (M3-Por) to develop reduced graphene oxide-porphyrin nanocomposites (rGO-M1-Por, rGO-M2-Por, and rGO-M3-Por). These nanocomposites were thoroughly characterized using UV-Vis, FT-IR, 1H NMR, PXRD, and SEM techniques, and their remarkable antimicrobial activity was further supported by insilico molecular docking studies. The antimicrobial efficacy of the metalloporphyrins (M1-Por, M2-Por, and M3-Por) and their hybrids (rGO-M1-Por, rGO-M2-Por, and rGO-M3-Por) was assessed against various bacterial strains (Staphylococcus aureus, Bacillus subtilis, Enterococcus faecium gram-positive strains, Klebsiella pneumonia, and Escherichia coli gram-negative strains) and fungal strains (Aspergillus niger and Candida albicans). Among the metalloporphyrin complexes, (M3-Por) exhibited the highest activity, attributed to the redox-active Mn(II) center and its strong binding affinity (- 10.54 kcal/mol) through multiple hydrogen bonds. Hybrid nanocomposites demonstrated superior bioactivity, with (rGO-M3-Por) achieving the lowest binding energy (- 14.39 kcal/mol) and extensive hydrogen bonding with ARG24 and ARG27. Molecular docking and dynamics simulations with S. aureus nucleoside diphosphate kinase revealed stable interactions involving hydrogen bonding, π-π stacking, and hydrophobic contacts. Furthermore, insilico ADMET studies indicated good drug-likeness, non-toxicity, and potential for safe oral administration.

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Resources & Tools

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