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Exploring the selectivity of guanine scaffold in anticancer drug development by computational repurposing approach.

ABSTRACT: Drug repurposing is one of the modern techniques used in the drug discovery to find out the new targets for existing drugs. Insilico methods have a major role in this approach. We used 60 FDA approved antiviral drugs reported in the last 50 years to screen against different cancer cell receptors. The thirteen compounds selected after virtual screening are analyzed for their druggability based on ADMET parameters and found the selectivity of guanine derivatives-didanosine, entecavir, acyclovir, valganciclovir, penciclovir, ganciclovir and valacyclovir as suitable candidates. The pharmacophore model, AARR, suggested based on the common feature alignment, shows that the two fused rings as in guanine and two acceptors-one from keto-oxygen (A5) and other from the substituent attached to nitrogen of imidazole ring (A4) give the druggability to the guanine derivatives. The NBO analysis on N9 is indicative of charge distribution from the ring to substituents, which results in delocalization of negative character in most of the ligands. The molecular dynamics simulations also pointed out the importance of guanine scaffold, which stabilizes the ligands inside the binding pocket of the receptor. All these results are indicative of the selectivity of guanine scaffold in anticancer drug development, especially as PARP1 inhibitors in breast, ovarian and prostate cancer. As these seven molecules are already approved by FDA, we can safely go for further preclinical trials.

SUBMITTER: Sherin DR

PROVIDER: S-EPMC8355261 | biostudies-literature |

REPOSITORIES: biostudies-literature

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A novel computational approach for drug repurposing using systems biology.

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| S-EPMC6084573 | biostudies-literature

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| S-EPMC7923689 | biostudies-literature

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| S-EPMC10477205 | biostudies-literature

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| S-EPMC3797770 | biostudies-literature

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| S-EPMC7544925 | biostudies-literature

Drug repurposing against COVID-19: focus on anticancer agents.

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| S-EPMC7214852 | biostudies-literature

A Systematic Review of Computational Drug Discovery, Development, and Repurposing for Ebola Virus Disease Treatment.

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| S-EPMC6151658 | biostudies-literature

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