Search results for " MM-GBSA"

showing 3 items of 3 documents

Investigating the inhibition of FTSJ1 a tryptophan tRNA-specific 2’-O-methyltransferase by NV TRIDs, as a mechanism of readthrough in nonsense mutate…

2023

Abstract: Cystic Fibrosis (CF) is an autosomal recessive genetic disease caused by mutations in the CFTR gene, coding for the CFTR chloride channel. About 10% of the CFTR gene mutations are "stop" mutations, which generate a Premature Termination Codon (PTC), thus synthesizing a truncated CFTR protein. A way to bypass PTC relies on ribosome readthrough, which is the ri-bosome’s capacity to skip a PTC, thus generating a full-length protein. “TRIDs” are molecules exerting ribosome readthrough; for some, the mechanism of action is still under debate. We in-vestigate a possible mechanism of action (MOA) by which our recently synthesized TRIDs, namely NV848, NV914, and NV930, could exert their r…

Settore BIO/18 - GeneticaKeywords: FTSJ1 methyltransferase tRNA readthrough stop codon mutation small molecules docking molecular dynamics MM-GBSASettore CHIM/06 - Chimica OrganicaSettore CHIM/08 - Chimica Farmaceutica
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Reverse Screening on Indicaxanthin from Opuntia ficus-indica as natural chemoactive and chemopreventive agent

2018

Indicaxanthin is a bioactive and bioavailable betalain pigment extracted from Opuntia ficus indica fruits. Indicaxanthin has pharmacokinetics proprieties, rarely found in other phytochemicals, and it has been demonstrated that it provides a broad-spectrum of pharmaceutical activity, exerting antiproliferative, anti-inflammatory and neuromodulator effects. The discovery of the Indicaxanthin physiological targets plays an important role in understanding the biochemical mechanism. In this study, combined reverse pharmacophore mapping, reverse docking, and text-based database search identified Inositol Trisphosphate 3-Kinase (ITP3K-A), Glutamate carboxypeptidase II (GCPII), Leukotriene-A4 hydro…

reverse screening Indicaxanthin molecular modelling MM-GBSA Molecular Dynamics Docking
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Exploring the SARS-CoV-2 Proteome in the Search of Potential Inhibitors via Structure-based Pharmacophore Modeling/Docking Approach

2020

To date, SARS-CoV-2 infectious disease, named COVID-19 by the World Health Organization (WHO) in February 2020, has caused millions of infections and hundreds of thousands of deaths. Despite the scientific community efforts, there are currently no approved therapies for treating this coronavirus infection. The process of new drug development is expensive and time-consuming, so that drug repurposing may be the ideal solution to fight the pandemic. In this paper, we selected the proteins encoded by SARS-CoV-2 and using homology modeling we identified the high-quality model of proteins. A structure-based pharmacophore modeling study was performed to identify the pharmacophore features for each…

General Computer ScienceComputer scienceComputational biologylcsh:QA75.5-76.95Theoretical Computer Science03 medical and health sciences0302 clinical medicineHomology modelingMM-GBSA030304 developmental biology0303 health sciencesVirtual screeningpharmacophoreSARS-CoV-2Applied MathematicsCOVID-19computational chemistryCOVID-19 SARS-CoV-2 computational chemistry structure-based pharmacophore docking MM-GBSADrug repositioningstructure-basedDrug developmentInfectious disease (medical specialty)Docking (molecular)030220 oncology & carcinogenesisModeling and Simulationdockinglcsh:Electronic computers. Computer sciencePharmacophoreDrugBankComputation
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