Towards understanding aromatase inhibitory activity via QSAR modeling

dc.contributor.authorShoombuatong, Watshara
dc.contributor.authorSchaduangrat, Nalini
dc.contributor.authorNantasenamat, Chanin
dc.date.accessioned2018-11-12T15:17:56Z
dc.date.available2018-11-12T15:17:56Z
dc.date.issued2018-07-20
dc.description.abstractAromatase is a rate-limiting enzyme for estrogen biosynthesis that is overproduced in breast cancer tissue. To block the growth of breast tumors, aromatase inhibitors (AIs) are employed to bind and inhibit aromatase in order to lower the amount of estrogen produced in the body. Although a number of synthetic aromatase inhibitors have been released for clinical use in the treatment of hormone-receptor positive breast cancer, these inhibitors may lead to undesirable side effects (e.g. increased rash, diarrhea and vomiting; effects on the bone, brain and heart) and therefore, the search for novel AIs continues. Over the past decades, there has been an intense effort in employing medicinal chemistry and quantitative structure-activity relationship (QSAR) to shed light on the mechanistic basis of aromatase inhibition. To the best of our knowledge, this article constitutes the first comprehensive review of all QSAR studies of both steroidal and non-steroidal AIs that have been published in the field. Herein, we summarize the experimental setup of these studies as well as summarizing the key features that are pertinent for robust aromatase inhibition.en
dc.identifier.issn1611-2156
dc.identifier.urihttp://hdl.handle.net/2003/37664
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-19659
dc.language.isoen
dc.relation.ispartofseriesEXCLI Journal;Vol. 17 2018
dc.subjectAromataseen
dc.subjectAromatase inhibitorsen
dc.subjectBreast canceren
dc.subjectEstrogenen
dc.subjectQSARen
dc.subjectStructure-activity relationshipen
dc.subjectData miningen
dc.subject.ddc610
dc.titleTowards understanding aromatase inhibitory activity via QSAR modelingen
dc.typeText
dc.type.publicationtypearticle
dcterms.accessRightsopen access
eldorado.dnb.zdberstkatid2132560-1
eldorado.secondarypublicationtrue

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Nantasenamat_20072018_proof.pdf
Size:
487.9 KB
Format:
Adobe Portable Document Format
Description:
DNB
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.85 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections