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Computational modeling of the bat HKU4 coronavirus 3CLpro inhibitors as a tool for the development of antivirals against the emerging Middle East respiratory syndrome (MERS) coronavirus.

ABSTRACT: The Middle East respiratory syndrome coronavirus (MERS-CoV) is an emerging virus that poses a major challenge to clinical management. The 3C-like protease (3CLpro ) is essential for viral replication and thus represents a potential target for antiviral drug development. Presently, very few data are available on MERS-CoV 3CLpro inhibition by small molecules. We conducted extensive exploration of the pharmacophoric space of a recently identified set of peptidomimetic inhibitors of the bat HKU4-CoV 3CLpro . HKU4-CoV 3CLpro shares high sequence identity (81%) with the MERS-CoV enzyme and thus represents a potential surrogate model for anti-MERS drug discovery. We used 2 well-established methods: Quantitative structure-activity relationship (QSAR)-guided modeling and docking-based comparative intermolecular contacts analysis. The established pharmacophore models highlight structural features needed for ligand recognition and revealed important binding-pocket regions involved in 3CLpro -ligand interactions. The best models were used as 3D queries to screen the National Cancer Institute database for novel nonpeptidomimetic 3CLpro inhibitors. The identified hits were tested for HKU4-CoV and MERS-CoV 3CLpro inhibition. Two hits, which share the phenylsulfonamide fragment, showed moderate inhibitory activity against the MERS-CoV 3CLpro and represent a potential starting point for the development of novel anti-MERS agents. To the best of our knowledge, this is the first pharmacophore modeling study supported by in vitro validation on the MERS-CoV 3CLpro . HIGHLIGHTS:MERS-CoV is an emerging virus that is closely related to the bat HKU4-CoV. 3CLpro is a potential drug target for coronavirus infection. HKU4-CoV 3CLpro is a useful surrogate model for the identification of MERS-CoV 3CLpro enzyme inhibitors. dbCICA is a very robust modeling method for hit identification. The phenylsulfonamide scaffold represents a potential starting point for MERS coronavirus 3CLpro inhibitors development.

SUBMITTER: Abuhammad A

PROVIDER: S-EPMC7166879 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Computational modeling of the bat HKU4 coronavirus 3CLpro inhibitors as a tool for the development of antivirals against the emerging Middle East respiratory syndrome (MERS) coronavirus.

Abuhammad Areej A Al-Aqtash Rua'a A RA Anson Brandon J BJ Mesecar Andrew D AD Taha Mutasem O MO

Journal of molecular recognition : JMR 20170613 11

The Middle East respiratory syndrome coronavirus (MERS-CoV) is an emerging virus that poses a major challenge to clinical management. The 3C-like protease (3CLpro ) is essential for viral replication and thus represents a potential target for antiviral drug development. Presently, very few data are available on MERS-CoV 3CLpro inhibition by small molecules. We conducted extensive exploration of the pharmacophoric space of a recently identified set of peptidomimetic inhibito ...[more]

PMID: 28608547

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Project description:The bat coronavirus HKU4 belongs to the same 2c lineage as that of the deadly Middle East Respiratory Syndrome coronavirus (MERS-CoV) and shows high sequence similarity, therefore potentiating a threat to the human population through a zoonotic shift or 'spill over' event. To date, there are no effective vaccines or antiviral treatments available that are capable of limiting the pathogenesis of any human coronaviral infection. An attractive target for the development of anti-coronaviral therapeutics is the 3C-like protease (3CL(pro)), which is essential for the progression of the coronaviral life cycle. Herein, we report the screening results of a small, 230-member peptidomimetic library against HKU4-CoV 3CL(pro) and the identification of 43 peptidomimetic compounds showing good to excellent inhibitory potency of HKU4-CoV 3CL(pro) with IC50 values ranging from low micromolar to sub-micromolar. We established structure-activity relationships (SARs) describing the important ligand-based features required for potent HKU4-CoV 3CL(pro) inhibition and identified a seemingly favored peptidic backbone for HKU4-CoV 3CL(pro) inhibition. To investigate this, a molecular sub-structural analysis of the most potent HKU4-CoV 3CL(pro) inhibitor was accomplished by the synthesis and testing of the lead peptidomimetic inhibitor's sub-structural components, confirming the activity of the favored backbone (22A) identified via SAR analysis. In order to elucidate the structural reasons for such potent HKU4-CoV 3CL(pro) inhibition by the peptidomimetics having the 22A backbone, we determined the X-ray structures of HKU4-CoV 3CL(pro) in complex with three peptidomimetic inhibitors. Sequence alignment of HKU4-CoV 3CL(pro), and two other lineage C Betacoronaviruses 3CL(pro)'s, HKU5-CoV and MERS-CoV 3CL(pro), show that the active site residues of HKU4-CoV 3CL(pro) that participate in inhibitor binding are conserved in HKU5-CoV and MERS-CoV 3CL(pro). Furthermore, we assayed our most potent HKU4-CoV 3CL(pro) inhibitor for inhibition of HKU5-CoV 3CL(pro) and found it to have sub-micromolar inhibitory activity (IC50=0.54±0.03μM). The X-ray structures and SAR analysis reveal critical insights into the structure and inhibition of HKU4-CoV 3CL(pro), providing fundamental knowledge that may be exploited in the development of anti-coronaviral therapeutics for coronaviruses emerging from zoonotic reservoirs.

Dataset Information

Computational modeling of the bat HKU4 coronavirus 3CLpro inhibitors as a tool for the development of antivirals against the emerging Middle East respiratory syndrome (MERS) coronavirus.

Publications

Computational modeling of the bat HKU4 coronavirus 3CL<sup>pro</sup> inhibitors as a tool for the development of antivirals against the emerging Middle East respiratory syndrome (MERS) coronavirus.

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