Identification of Phosphatidylinositol 3-kinase δ (PI3Kδ) Inhibitor: Pharmacophore-based Virtual Screening and Molecular Dynamics Simulation
Phosphatidylinositol 3-kinase δ (PI3Kδ) is a validated drug target for the treatment of cancer. The present study aims to search for new inhibitors of PI3Kδ by employing pharmacophore modelling using LigandScout Advanced 4.3 software. The three hydrogen bond acceptors and two hydrophobic features we...
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Universitas Gadjah Mada
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doaj-0420f8a1a5fb43b79de5aeffc4c2f6c62020-11-25T03:05:20ZengUniversitas Gadjah MadaIndonesian Journal of Chemistry1411-94202460-15782020-07-012051070107910.22146/ijc.4732725813Identification of Phosphatidylinositol 3-kinase δ (PI3Kδ) Inhibitor: Pharmacophore-based Virtual Screening and Molecular Dynamics SimulationMuhammad Arba0Malindo Sufriadin1Daryono Hadi Tjahjono2Faculty of Pharmacy, Halu Oleo University, Jl. Kampus Hijau Bumi Tridharma, Anduonou, Kendari 93132, Southeast Sulawesi, IndonesiaFaculty of Pharmacy, Halu Oleo University, Jl. Kampus Hijau Bumi Tridharma, Anduonou, Kendari 93132, Southeast Sulawesi, IndonesiaSchool of Pharmacy, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung 40132, West Java, IndonesiaPhosphatidylinositol 3-kinase δ (PI3Kδ) is a validated drug target for the treatment of cancer. The present study aims to search for new inhibitors of PI3Kδ by employing pharmacophore modelling using LigandScout Advanced 4.3 software. The three hydrogen bond acceptors and two hydrophobic features were proposed as a pharmacophore model using LASW1976 structure. The model was then validated using the Area Under Curve (AUC) of Receiver Operating Characteristic (ROC) and GH score. It was used to screen new molecules in the ZINC database, which resulted in 599 hits. All 599 hits were then docked into PI3Kδ protein, and five best hits were submitted to 50 ns molecular dynamics simulations. Each hit complexed with PI3Kδ underwent minor conformational changes as indicated by the values of Root Mean Square Deviation (RMSD) and Root Mean Square Fluctuation (RMSF). Furthermore, prediction of the binding free energy using Molecular Mechanics-Poisson Boltzmann Surface Area (MM-PBSA) method showed that five hits, i.e., Lig25/ZINC253496376, Lig682/ZINC98047241, Lig449/ZINC85878047, Lig554/ZINC253389510, and Lig199/ZINC12638303, had lower binding energy compared to LASW1976. This result indicated their potentials as new inhibitors of PI3Kδ.https://jurnal.ugm.ac.id/ijc/article/view/47327pi3kmolecular dockingpharmacophore modelingmolecular dynamics simulation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Muhammad Arba Malindo Sufriadin Daryono Hadi Tjahjono |
spellingShingle |
Muhammad Arba Malindo Sufriadin Daryono Hadi Tjahjono Identification of Phosphatidylinositol 3-kinase δ (PI3Kδ) Inhibitor: Pharmacophore-based Virtual Screening and Molecular Dynamics Simulation Indonesian Journal of Chemistry pi3k molecular docking pharmacophore modeling molecular dynamics simulation |
author_facet |
Muhammad Arba Malindo Sufriadin Daryono Hadi Tjahjono |
author_sort |
Muhammad Arba |
title |
Identification of Phosphatidylinositol 3-kinase δ (PI3Kδ) Inhibitor: Pharmacophore-based Virtual Screening and Molecular Dynamics Simulation |
title_short |
Identification of Phosphatidylinositol 3-kinase δ (PI3Kδ) Inhibitor: Pharmacophore-based Virtual Screening and Molecular Dynamics Simulation |
title_full |
Identification of Phosphatidylinositol 3-kinase δ (PI3Kδ) Inhibitor: Pharmacophore-based Virtual Screening and Molecular Dynamics Simulation |
title_fullStr |
Identification of Phosphatidylinositol 3-kinase δ (PI3Kδ) Inhibitor: Pharmacophore-based Virtual Screening and Molecular Dynamics Simulation |
title_full_unstemmed |
Identification of Phosphatidylinositol 3-kinase δ (PI3Kδ) Inhibitor: Pharmacophore-based Virtual Screening and Molecular Dynamics Simulation |
title_sort |
identification of phosphatidylinositol 3-kinase δ (pi3kδ) inhibitor: pharmacophore-based virtual screening and molecular dynamics simulation |
publisher |
Universitas Gadjah Mada |
series |
Indonesian Journal of Chemistry |
issn |
1411-9420 2460-1578 |
publishDate |
2020-07-01 |
description |
Phosphatidylinositol 3-kinase δ (PI3Kδ) is a validated drug target for the treatment of cancer. The present study aims to search for new inhibitors of PI3Kδ by employing pharmacophore modelling using LigandScout Advanced 4.3 software. The three hydrogen bond acceptors and two hydrophobic features were proposed as a pharmacophore model using LASW1976 structure. The model was then validated using the Area Under Curve (AUC) of Receiver Operating Characteristic (ROC) and GH score. It was used to screen new molecules in the ZINC database, which resulted in 599 hits. All 599 hits were then docked into PI3Kδ protein, and five best hits were submitted to 50 ns molecular dynamics simulations. Each hit complexed with PI3Kδ underwent minor conformational changes as indicated by the values of Root Mean Square Deviation (RMSD) and Root Mean Square Fluctuation (RMSF). Furthermore, prediction of the binding free energy using Molecular Mechanics-Poisson Boltzmann Surface Area (MM-PBSA) method showed that five hits, i.e., Lig25/ZINC253496376, Lig682/ZINC98047241, Lig449/ZINC85878047, Lig554/ZINC253389510, and Lig199/ZINC12638303, had lower binding energy compared to LASW1976. This result indicated their potentials as new inhibitors of PI3Kδ. |
topic |
pi3k molecular docking pharmacophore modeling molecular dynamics simulation |
url |
https://jurnal.ugm.ac.id/ijc/article/view/47327 |
work_keys_str_mv |
AT muhammadarba identificationofphosphatidylinositol3kinasedpi3kdinhibitorpharmacophorebasedvirtualscreeningandmoleculardynamicssimulation AT malindosufriadin identificationofphosphatidylinositol3kinasedpi3kdinhibitorpharmacophorebasedvirtualscreeningandmoleculardynamicssimulation AT daryonohaditjahjono identificationofphosphatidylinositol3kinasedpi3kdinhibitorpharmacophorebasedvirtualscreeningandmoleculardynamicssimulation |
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1715309833531424768 |