Rationalized Computer-Aided Design of Matrix-Metalloprotease-Selective Prodrugs
View/ Open
jain_et_al_2017_jmc.pdf (1.141Mb)
Download
Publication date
2017-05-25Author
Jain, M.Harburn, J.J.
Gill, Jason H.
Loadman, Paul
Falconer, Robert A.
Mooney, C.A.
Cobb, S.L.
Berry, David J.
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.Peer-Reviewed
YesOpen Access status
openAccess
Metadata
Show full item recordAbstract
Matrix 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.Version
Accepted manuscriptCitation
Jain 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.Link to Version of Record
https://doi.org/10.1021/acs.jmedchem.6b01472Type
Articleae974a485f413a2113503eed53cd6c53
https://doi.org/10.1021/acs.jmedchem.6b01472