2016
DOI: 10.4172/2169-0138.1000137
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Structure-Based Pharmacophore Modeling, Virtual Screening and Molecular docking for the Treatment of ESR1 Mutations in Breast Cancer

Abstract: IntroductionIt is a known fact that Breast cancer is a known universal disease, with an annual prevalence of 1.3 million cases each year, accounts for more than 23 diseases among all malignancies Breast cancer is more common. In spite of major advances and treatments in its early detection, breast carcinoma still remains a significant reason for morbidity and mortality of women around the world [1]. Breast cancer is the second leading reason behind the death of most females. The most common measure of the trea… Show more

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Cited by 14 publications
(9 citation statements)
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“…We performed a ligand based molecular docking method to identify novel structural characteristics and scaffolds. The pharmacophoric feature of every ligand was checked and all of the phytochemical compounds (ligands) were imported in ligand based perspective of LigandScout to generate pharmacophore ( Munir et al, 2016 ). The software LigandScout was used for identification and visualization of protein ligand interaction sites and pharmacophore model generation.…”
Section: Methodsmentioning
confidence: 99%
“…We performed a ligand based molecular docking method to identify novel structural characteristics and scaffolds. The pharmacophoric feature of every ligand was checked and all of the phytochemical compounds (ligands) were imported in ligand based perspective of LigandScout to generate pharmacophore ( Munir et al, 2016 ). The software LigandScout was used for identification and visualization of protein ligand interaction sites and pharmacophore model generation.…”
Section: Methodsmentioning
confidence: 99%
“…The creation and analysis of a pharmacophore model is established as a vital part of drug design, as it is a beneficial tool for detection and development of new chemical entities (NCEs) . LigandScout tool was used to generate a pharmacophore model from the simulation of SFG.…”
Section: Methodsmentioning
confidence: 99%
“…In an attempt to target mutated ER, in 2016, Munir et al used LigandScout for preparation of ERα structure using four pdb structures-1UOM (C381S, C417S and C530S mutations with bound to a tetrahydroisochiolin ligand), 2JFA (M361S, M411S, M483S and M530S with bound raloxifene), 4XI3 (L372S and L536S with bound bazedoxifene) and 1R5K-for the generation of a pharmacophore model based on common features from all three ligand based models and for generating a model based on mutations from all three proteins [242]. ZINC database was screened to find ligands that fit the pharmacophore model using Ligscree Server followed by Lipinksi's Rule-based filtering to create a ligand database of interest which was docked to the wild-type and the shared mutated protein model with the Patch Dock server [242,243]. The authors were able to obtain 10 hits, out of which three molecules displayed ideal in silico interactions with both wild-type and mutated protein models [242].…”
Section: Only Active At High Concentrationsmentioning
confidence: 99%
“…ZINC database was screened to find ligands that fit the pharmacophore model using Ligscree Server followed by Lipinksi's Rule-based filtering to create a ligand database of interest which was docked to the wild-type and the shared mutated protein model with the Patch Dock server [242,243]. The authors were able to obtain 10 hits, out of which three molecules displayed ideal in silico interactions with both wild-type and mutated protein models [242]. Experimental validation should be used for these studies to corroborate these claims, as docking scores are not always reflective of in vivo activity.…”
Section: Only Active At High Concentrationsmentioning
confidence: 99%