Multireceptor Analysis for Evaluating the Antidiabetic Efficacy of Karanjin: A Computational Approach.

BACKGROUND: Diabetes mellitus, notably type 2, is a rising global health challenge, prompting the need for effective management strategies. Common medications such as metformin, insulin, repaglinide and sitagliptin can induce side effects like gastrointestinal disturbances, hypoglycemia, weight gain and specific organ risks. Plant-derived therapies like Karanjin from Pongamia pinnata present promising alternatives due to their historical use, holistic health benefits and potentially fewer adverse effects. This study employs in silico analysis to explore Karanjin's interactions with diabetes-associated receptors, aiming to unveil its therapeutic potential while addressing the limitations and side effects associated with conventional medications. METHODOLOGY: The research encompassed the selection of proteins from the Protein Data Bank (PDB), followed by structural refinement processes and optimization. Ligands such as Karanjin and standard drugs were retrieved from PubChem, followed by a comprehensive analysis of their ADMET profiling and pharmacokinetic properties. Protein-ligand interactions were evaluated through molecular docking using AutoDockTools 1.5.7, followed by the analysis of structural stability using coarse-grained simulations with CABS Flex 2.0. Molecular dynamics simulations were performed using Desmond 7.2 and the OPLS4 force field to explore how Karanjin interacts with proteins over 100 nanoseconds, focusing on the dynamics and structural stability. RESULTS: Karanjin, a phytochemical from Pongamia pinnata, shows superior drug candidate potential compared to common medications, offering advantages in efficacy and reduced side effects. It adheres to drug-likeness criteria and exhibits optimal ADMET properties, including moderate solubility, high gastrointestinal absorption and blood-brain barrier penetration. Molecular docking revealed Karanjin's highest binding energy against receptor 3L2M (Pig pancreatic alpha-amylase) at -9.1 kcal/mol, indicating strong efficacy potential. Molecular dynamics simulations confirmed stable ligand-protein complexes with minor fluctuations in RMSD and RMSF, suggesting robust interactions with receptors 3L2M. CONCLUSION: Karanjin demonstrates potential in pharmaceutical expansion for treating metabolic disorders such as diabetes, as supported by computational analysis. Prospects for Karanjin in pharmaceutical development include structural modifications for enhanced efficacy and safety. Nanoencapsulation may improve bioavailability and targeted delivery to pancreatic cells, while combination therapies could optimize treatment outcomes in diabetes management. Clinical trials and experimental studies are crucial to validate its potential as a novel therapeutic agent.

Pharmacokinetic studies, molecular docking, and molecular dynamics simulations of phytochemicals from Morus alba: a multi receptor approach for potential therapeutic agents in colorectal cancer.

This study explores the therapeutic potential of phytochemicals derived from Morus alba for colorectal cancer (CRC) treatment. Colorectal cancer is a global health concern with increasing mortality rates, necessitating innovative strategies for prevention and therapy. Employing in silico analysis, molecular docking techniques (MDT), and molecular dynamics simulations (MDS), the study investigates the interactions between Morus alba-derived phytochemicals and key proteins (AKT1, Src, STAT3, EGFR) implicated in CRC progression. ADME/T analysis screens 78 phytochemicals for drug-like and pharmacokinetic properties. The study integrates Lipinski's Rule of Five and comprehensive bioactivity assessments, providing a nuanced understanding of Morus alba phytoconstituent's potential as CRC therapeutic agents. Notably, 14 phytochemicals out of 78 emerge as potential candidates, demonstrating oral bioavailability and favorable bioactivity scores. Autodock 1.5.7 is employed for energy minimization followed by molecular docking with the highest binding energy observed to be - 11.7 kcal/mol exhibited by Kuwanon A against AKT1. Molecular dynamics simulations and trajectory path analysis were conducted between Kuwanon A and AKT1 at the Pleckstrin homology (PH) domain region (TRP80), revealing minimal deviations. In comparison to the standard drug Capivasertib, the phytochemical Kuwanon A emerges as a standout candidate based on computational analysis. This suggests its potential as an alternative to mitigate the limitations associated with the standard drug. The research aims to provide insights for future experimental validations and to stimulate the development of Kuwanon A as a novel, effective therapeutic agent for managing colorectal cancer.

A Comprehensive Review of Membrane Transporters and MicroRNA Regulation in Alzheimer's Disease.

Alzheimer's disease (AD) is a distressing neurodegenerative condition characterized by the accumulation of amyloid-beta (Aß) plaques and tau tangles within the brain. The interconnectedness between membrane transporters (SLCs) and microRNAs (miRNAs) in AD pathogenesis has gained increasing attention. This review explores the localization, substrates, and functions of SLC transporters in the brain, emphasizing the roles of transporters for glutamate, glucose, nucleosides, and other essential compounds. The examination delves into the significance of SLCs in AD, their potential for drug development, and the intricate realm of miRNAs, encompassing their transcription, processing, functions, and regulation. MiRNAs have emerged as significant players in AD, including those associated with mitochondria and synapses. Furthermore, this review discusses the intriguing nexus of miRNAs targeting SLC transporters and their potential as therapeutic targets in AD. Finally, the review underscores the interaction between SLC transporters and miRNA regulation within the context of Alzheimer's disease, underscoring the need for further research in this area. This comprehensive review aims to shed light on the complex mechanisms underlying the causation of AD and provides insights into potential therapeutic approaches.