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dc.contributor.authorPatel, Hershna
dc.contributor.authorKukol, Andreas
dc.date.accessioned2020-11-25T19:45:59Z
dc.date.available2020-11-25T19:45:59Z
dc.date.issued2020-11-19
dc.identifier.citationPatel , H & Kukol , A 2020 , ' Integrating molecular modelling methods to advance influenza A virus drug discovery ' , Drug Discovery Today . https://doi.org/10.1016/j.drudis.2020.11.014
dc.identifier.issn1359-6446
dc.identifier.otherPURE: 23048317
dc.identifier.otherPURE UUID: 3af0a2e6-5a26-4375-9a59-9fa17871c623
dc.identifier.otherScopus: 85097251391
dc.identifier.urihttp://hdl.handle.net/2299/23518
dc.description.abstractSince the discovery of the anti-influenza drugs Oseltamivir and Zanamivir using computer aided drug design methods, there have been significant applications of molecular modelling methodologies applied to influenza A virus drug discovery, such as molecular dynamics simulation, molecular docking and virtual screening. This review provides a brief general introduction to molecular modelling in the context of drug discovery and then focuses on the advances and impact of integrating these methods with specific reference to potential influenza A antiviral drug targets.en
dc.language.isoeng
dc.relation.ispartofDrug Discovery Today
dc.titleIntegrating molecular modelling methods to advance influenza A virus drug discoveryen
dc.contributor.institutionDepartment of Biological and Environmental Sciences
dc.contributor.institutionAgriculture, Veterinary and Food Sciences
dc.contributor.institutionBiosciences Research Group
dc.contributor.institutionSchool of Life and Medical Sciences
dc.contributor.institutionDepartment of Clinical, Pharmaceutical and Biological Science
dc.description.statusPeer reviewed
dc.date.embargoedUntil2021-11-19
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.drudis.2020.11.014
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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