دورية أكاديمية

WaterMap and Molecular Dynamic Simulation-Guided Discovery of Potential PAK1 Inhibitors Using Repurposing Approaches

التفاصيل البيبلوغرافية
العنوان: WaterMap and Molecular Dynamic Simulation-Guided Discovery of Potential PAK1 Inhibitors Using Repurposing Approaches
المؤلفون: Jayashree Biswal (820672), Prajisha Jayaprakash (3471893), Suresh Kumar Rayala (3842875), Ganesh Venkatraman (345641), Raghu Rangaswamy (11524154), Jeyakanthan Jeyaraman (473107)
سنة النشر: 2021
المجموعة: Smithsonian Institution: Digital Repository
مصطلحات موضوعية: Biophysics, Biochemistry, Genetics, Molecular Biology, Pharmacology, Biotechnology, Computational Biology, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, strong complementarity potentials, hydrophobic interactions maintained, energy hydration sites, active site directly, greater interaction strength, consistent interaction pattern, poor kinase selectivity, molecular dynamic simulation, activated kinase 1, highest docking score, molecular interaction patterns, binding affinity gains, based reposition efforts, new pak1 inhibitors, trazodone molecules highlighted, drug molecules flubendazole, crucial interaction, molecular orbital, kinase activity, drug molecules, lower affinity
الوصف: p21-Activated kinase 1 (PAK1) is positioned at the nexus of several oncogenic signaling pathways. Currently, there are no approved inhibitors for disabling the transfer of phosphate in the active site directly, as they are limited by lower affinity, and poor kinase selectivity. In this work, a repurposing study utilizing FDA-approved drugs from the DrugBank database was pursued with an initial selection of 27 molecules out of ∼2162 drug molecules, based on their docking energies and molecular interaction patterns. From the molecules that were considered for WaterMap analysis, seven molecules, namely, Mitoxantrone, Labetalol, Acalabrutinib, Sacubitril, Flubendazole, Trazodone, and Niraparib, ascertained the ability to overlap with high-energy hydration sites. Considering many other displaced unfavorable water molecules, only Acalabrutinib, Flubendazole, and Trazodone molecules highlighted their prominence in terms of binding affinity gains through ΔΔ G that ranges between 6.44 and 2.59 kcal/mol. Even if Mitoxantrone exhibited the highest docking score and greater interaction strength, it did not comply with the WaterMap and molecular dynamics simulation results. Moreover, detailed MD simulation trajectory analyses suggested that the drug molecules Flubendazole, Niraparib, and Acalabrutinib were highly stable, observed from their RMSD values and consistent interaction pattern with Glu315, Glu345, Leu347, and Asp407 including the hydrophobic interactions maintained in the three replicates. However, the drug molecule Trazodone displayed a loss of crucial interaction with Leu347, which was essential to inhibit the kinase activity of PAK1. The molecular orbital and electrostatic potential analyses elucidated the reactivity and strong complementarity potentials of the drug molecules in the binding pocket of PAK1. Therefore, the CADD-based reposition efforts, reported in this work, helped in the successful identification of new PAK1 inhibitors that requires further investigation by in vitro analysis.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
العلاقة: https://figshare.com/articles/journal_contribution/WaterMap_and_Molecular_Dynamic_Simulation-Guided_Discovery_of_Potential_PAK1_Inhibitors_Using_Repurposing_Approaches/16744226Test
DOI: 10.1021/acsomega.1c02032.s001
الإتاحة: https://doi.org/10.1021/acsomega.1c02032.s001Test
حقوق: CC BY-NC 4.0
رقم الانضمام: edsbas.70F6A58A
قاعدة البيانات: BASE