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Article

Combined Pharmacophore and Grid-Independent Molecular Descriptors (GRIND) Analysis to Probe 3D Features of Inositol 1,4,5-Trisphosphate Receptor (IP3R) Inhibitors in Cancer

Research Centre for Modelling and Simulation (RCMS), National University of Sciences and Technology (NUST), Sector H-12, Islamabad 44000, Pakistan
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Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2021, 22(23), 12993; https://doi.org/10.3390/ijms222312993
Submission received: 17 September 2021 / Revised: 18 November 2021 / Accepted: 24 November 2021 / Published: 30 November 2021
(This article belongs to the Special Issue Drug Design and Virtual Screening)

Abstract

Inositol 1, 4, 5-trisphosphate receptor (IP3R)-mediated Ca2+ signaling plays a pivotal role in different cellular processes, including cell proliferation and cell death. Remodeling Ca2+ signals by targeting the downstream effectors is considered an important hallmark in cancer progression. Despite recent structural analyses, no binding hypothesis for antagonists within the IP3-binding core (IBC) has been proposed yet. Therefore, to elucidate the 3D structural features of IP3R modulators, we used combined pharmacoinformatic approaches, including ligand-based pharmacophore models and grid-independent molecular descriptor (GRIND)-based models. Our pharmacophore model illuminates the existence of two hydrogen-bond acceptors (2.62 Å and 4.79 Å) and two hydrogen-bond donors (5.56 Å and 7.68 Å), respectively, from a hydrophobic group within the chemical scaffold, which may enhance the liability (IC50) of a compound for IP3R inhibition. Moreover, our GRIND model (PLS: Q2 = 0.70 and R2 = 0.72) further strengthens the identified pharmacophore features of IP3R modulators by probing the presence of complementary hydrogen-bond donor and hydrogen-bond acceptor hotspots at a distance of 7.6–8.0 Å and 6.8–7.2 Å, respectively, from a hydrophobic hotspot at the virtual receptor site (VRS). The identified 3D structural features of IP3R modulators were used to screen (virtual screening) 735,735 compounds from the ChemBridge database, 265,242 compounds from the National Cancer Institute (NCI) database, and 885 natural compounds from the ZINC database. After the application of filters, four compounds from ChemBridge, one compound from ZINC, and three compounds from NCI were shortlisted as potential hits (antagonists) against IP3R. The identified hits could further assist in the design and optimization of lead structures for the targeting and remodeling of Ca2+ signals in cancer.
Keywords: IP3R-mediated Ca2+ signaling; IP3R modulators; pharmacophore modeling; virtual screening; hits; GRIND model; PLS co-efficient correlogram IP3R-mediated Ca2+ signaling; IP3R modulators; pharmacophore modeling; virtual screening; hits; GRIND model; PLS co-efficient correlogram

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MDPI and ACS Style

Ismatullah, H.; Jabeen, I. Combined Pharmacophore and Grid-Independent Molecular Descriptors (GRIND) Analysis to Probe 3D Features of Inositol 1,4,5-Trisphosphate Receptor (IP3R) Inhibitors in Cancer. Int. J. Mol. Sci. 2021, 22, 12993. https://doi.org/10.3390/ijms222312993

AMA Style

Ismatullah H, Jabeen I. Combined Pharmacophore and Grid-Independent Molecular Descriptors (GRIND) Analysis to Probe 3D Features of Inositol 1,4,5-Trisphosphate Receptor (IP3R) Inhibitors in Cancer. International Journal of Molecular Sciences. 2021; 22(23):12993. https://doi.org/10.3390/ijms222312993

Chicago/Turabian Style

Ismatullah, Humaira, and Ishrat Jabeen. 2021. "Combined Pharmacophore and Grid-Independent Molecular Descriptors (GRIND) Analysis to Probe 3D Features of Inositol 1,4,5-Trisphosphate Receptor (IP3R) Inhibitors in Cancer" International Journal of Molecular Sciences 22, no. 23: 12993. https://doi.org/10.3390/ijms222312993

APA Style

Ismatullah, H., & Jabeen, I. (2021). Combined Pharmacophore and Grid-Independent Molecular Descriptors (GRIND) Analysis to Probe 3D Features of Inositol 1,4,5-Trisphosphate Receptor (IP3R) Inhibitors in Cancer. International Journal of Molecular Sciences, 22(23), 12993. https://doi.org/10.3390/ijms222312993

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