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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Main Authors: Muhammad Arba, Malindo Sufriadin, Daryono Hadi Tjahjono
Format: Article
Language:English
Published: Universitas Gadjah Mada 2020-07-01
Series:Indonesian Journal of Chemistry
Subjects:
Online Access:https://jurnal.ugm.ac.id/ijc/article/view/47327
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spelling 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
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