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Identification of New Potential APE1 Inhibitors by Pharmacophore Modeling and Molecular Docking
In Won Lee, Jonghwan Yoon, Gunhee Lee, Minho Lee
Genomics Inform. 2017;15(4):147-155.   Published online December 29, 2017
DOI: https://doi.org/10.5808/GI.2017.15.4.147

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Identification of New Potential APE1 Inhibitors by Pharmacophore Modeling and Molecular Docking
Genomics & Informatics. 2017;15(4):147-155   Crossref logo
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Pharmacophore development, drug-likeness analysis, molecular docking, and molecular dynamics simulations for identification of new CK2 inhibitors
Journal of Molecular Modeling. 2020;26(6):   Crossref logo
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Pharmacophore based 3D-QSAR modeling, virtual screening and docking for identification of potential inhibitors of β-secretase
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BioMed Research International. 2022;2022:1-2   Crossref logo
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Identification of novel, less toxic PTP-LAR inhibitors using in silico strategies: pharmacophore modeling, SADMET-based virtual screening and docking
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Identification of new potential Mycobacterium tuberculosis shikimate kinase inhibitors through molecular docking simulations
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Identification of novel BRD4 inhibitors by pharmacophore screening, molecular docking, and molecular dynamics simulation
Journal of Molecular Structure. 2023;1274:134363   Crossref logo
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Identification of Compounds from Nigella Sativa as New Potential Inhibitors of 2019 Novel Coronasvirus (Covid-19): Molecular Docking Study.
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3D-QSAR-Based Pharmacophore Modeling, Virtual Screening, and Molecular Docking Studies for Identification of Tubulin Inhibitors with Potential Anticancer Activity
BioMed Research International. 2021;2021:1-20   Crossref logo
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Identification of potential COVID-19 main protease inhibitors using structure-based pharmacophore approach, molecular docking and repurposing studies
Acta Pharmaceutica. 2020;71(2):163-174   Crossref logo
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