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Research Article

Identification of novel urease inhibitors: pharmacophore modeling, virtual screening and molecular docking studies

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Pages 4312-4326 | Received 12 Aug 2018, Accepted 23 Oct 2018, Published online: 24 Dec 2018

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Articles from other publishers (4)

Monica Ramasamy, Aishwarya Vetrivel, Sharulatha Venugopal & Rajeswari Murugesan. (2023) Identification of inhibitors for Agr quorum sensing system of Staphylococcus aureus by machine learning, pharmacophore modeling, and molecular dynamics approaches. Journal of Molecular Modeling 29:8.
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Wan-Qing Song, Mei-Ling Liu, Su-Ya Li & Zhu-Ping Xiao. (2022) Recent Efforts in the Discovery of Urease Inhibitor Identifications. Current Topics in Medicinal Chemistry 22:2, pages 95-107.
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Meysam Talebi, Elham Hamidian, Fatemeh Niasari-Naslaji, Sogand Rahmani, Faezeh Sadat Hosseini, Shahin Boumi, Mohammad Nazari Montazer, Mehdi Asadi & Massoud Amanlou. (2021) Synthesis, molecular docking, and biological evaluation of nitroimidazole derivatives as potent urease inhibitors. Medicinal Chemistry Research 30:6, pages 1220-1229.
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Divya S. Raj, Chidhambara Priya Dharshini Kottaisamy, Waheetha Hopper & Umamaheswari Sankaran. (2021) Identification of immucillin analogue natural compounds to inhibit Helicobacter pylori MTAN through high throughput virtual screening and molecular dynamics simulation. In Silico Pharmacology 9:1.
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