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Cited 4 time in webofscience Cited 4 time in scopus
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Short communication for targeting natural compounds against HER2 kinase domain as potential anticancer drugs applying pharmacophore based molecular modelling approaches- part 2

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dc.contributor.authorRampogu, Shailima-
dc.contributor.authorLee, Gihwan-
dc.contributor.authorDoneti, Ravinder-
dc.contributor.authorLee, Keun Woo-
dc.date.accessioned2024-12-02T22:31:00Z-
dc.date.available2024-12-02T22:31:00Z-
dc.date.issued2020-08-
dc.identifier.issn1476-9271-
dc.identifier.issn1476-928X-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/72542-
dc.description.abstractBreast cancer is one of the common causes of death noticed in women globally. In order to find effective therapeutics, the current investigation has focussed on identifying candidate compounds for EGFR and HER2. Accordingly, the pharmacophore modelling approaches were adapted to identify two prospective compounds and were docked against the target 3RCD that is complexed with TAK-285 a known dual inhibitor. Focussing on the target 3RCD, our results have showed that the compounds have demonstrated a good binding affinity towards the target occupying the binding pocket. They have established key residue interactions with stable molecular dynamics simulation results. The Hit compounds have demonstrated a potential to penetrate the blood brain barrier thereby enriching their therapeutics towards breast cancer brain metastasis. Taken together, our findings propose two candidate compounds as EGFR/HER2 inhibitors that might serve as novel chemical spaces for designing and developing new inhibitors.-
dc.language영어-
dc.language.isoENG-
dc.publisherPergamon Press Ltd.-
dc.titleShort communication for targeting natural compounds against HER2 kinase domain as potential anticancer drugs applying pharmacophore based molecular modelling approaches- part 2-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1016/j.compbiolchem.2020.107242-
dc.identifier.scopusid2-s2.0-85084414296-
dc.identifier.wosid000552715000002-
dc.identifier.bibliographicCitationComputational Biology and Chemistry, v.87-
dc.citation.titleComputational Biology and Chemistry-
dc.citation.volume87-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaLife Sciences & Biomedicine - Other Topics-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryBiology-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.subject.keywordPlusDOCKING-
dc.subject.keywordPlusGENERATION-
dc.subject.keywordPlusINHIBITORS-
dc.subject.keywordPlusBEARING-
dc.subject.keywordPlusFAMILY-
dc.subject.keywordAuthorHER2-
dc.subject.keywordAuthorBreast cancer-
dc.subject.keywordAuthorDual inhibitors-
dc.subject.keywordAuthorEGFR/HER2 inhibitors-
dc.subject.keywordAuthorBrain metastasis-
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