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dc.contributor.authorJain, M.*
dc.contributor.authorHarburn, J.J.*
dc.contributor.authorGill, Jason H.*
dc.contributor.authorLoadman, Paul*
dc.contributor.authorFalconer, Robert A.*
dc.contributor.authorMooney, C.A.*
dc.contributor.authorCobb, S.L.*
dc.contributor.authorBerry, David J.*
dc.date.accessioned2017-05-25T13:42:01Z
dc.date.available2017-05-25T13:42:01Z
dc.date.issued2017-05-25
dc.identifier.citationJain M, Harburn JJ, Gill JH et al (2017) Rationalized Computer-Aided Design of Matrix- Metalloprotease-Selective Prodrugs. Journal of Medicinal Chemistry. 60(10): 4496-4502.en_US
dc.identifier.urihttp://hdl.handle.net/10454/12041
dc.descriptionYesen_US
dc.description.abstractMatrix metalloproteinases (MMPs) are central to cancer development and metastasis. They are highly active in the tumor environment and absent or inactive in normal tissues; therefore they represent viable targets for cancer drug discovery. In this study we evaluated in silico docking to develop MMP-subtype-selective tumor-activated prodrugs. Proof of principle for this therapeutic approach was demonstrated in vitro against an aggressive human glioma model, with involvement of MMPs confirmed using pharmacological inhibition.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://dx.doi.org/10.1021/acs.jmedchem.6b01472en_US
dc.rights(c) 2017 ACS. This document is the Accepted Manuscript version of a Published Work that appeared in final form in the Journal of Medicinal Chemistry. To access the final edited and published work see http://dx.doi.org/10.1021/acs.jmedchem.6b01472.en_US
dc.subjectComputer-Aided Design; Prodrugsen_US
dc.titleRationalized Computer-Aided Design of Matrix-Metalloprotease-Selective Prodrugsen_US
dc.status.refereedYesen_US
dc.date.application2017-05-04
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US
refterms.dateFOA2018-05-05T00:00:00Z


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