Publication
ChemT, an open-source software for building template-based chemical libraries
| dc.contributor.author | Abreu, Rui M.V. | |
| dc.contributor.author | Froufe, Hugo J.C. | |
| dc.contributor.author | Daniel, Pedro O.M. | |
| dc.contributor.author | Queiroz, Maria João R.P. | |
| dc.contributor.author | Ferreira, Isabel C.F.R. | |
| dc.date.accessioned | 2011-10-25T09:57:17Z | |
| dc.date.available | 2011-10-25T09:57:17Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | Mushrooms represent an unlimited source of compounds with antitumor and immunostimulating properties and mushroom intake as been shown to reduce the risk of breast cancer. A large number of LMW (low molecular weight) compounds present in mushrooms have been identified including: phenolic acids, flavonoids, tocopherols, carotenoids, sugars and fatty acids. In order to evaluate which wild mushroom LMW compounds may be involved in anti-breast cancer activity we selected a representative dataset of 43 LMW compounds and performed molecular docking against 3 known protein targets involved in breast cancer (Aromatase, Estrone Sulfatase and 17β-HSD-1) using AutoDock4 as docking software. The estimated inhibition constants for all LMW compounds were determined and the potential structure-activity relationships for the compounds with the best estimated inhibition constants are discussed for each compound family. 4-O-caffeoylquinic, naringin and lycopene stand out as the top ranked potential inhibitors for Aromatase, Estrone Sulfatase and 17β-HSD1, respectively, and the 3-D docked conformation for these compounds are discussed in detail. This information provides several interesting starting points for further development of Aromatase, Estrone Sulfatase and 17β-HSD1 inhibitors. | por |
| dc.identifier.citation | Abreu, Rui M. V.; Froufe, Hugo J. C.; Daniel, Pedro O.M.; Queiroz, Maria-João R. P.; Ferreira, Isabel C.F.R. (2011). ChemT, an open-source software for building template-based chemical libraries. SAR and QSAR Environmental Research. ISSN 1029-046X. 22:5-6, p. 603-610 | por |
| dc.identifier.doi | 10.1080/1062936X.2011.604097 | |
| dc.identifier.issn | 1029-046X | |
| dc.identifier.uri | http://hdl.handle.net/10198/6231 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | Taylor & Francis | por |
| dc.subject | Mushrooms | por |
| dc.subject | Nutraceuticals | por |
| dc.subject | Breast cancer | por |
| dc.subject | Molecular Docking | por |
| dc.subject | AutoDock4 | por |
| dc.title | ChemT, an open-source software for building template-based chemical libraries | por |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876-PPCDTI/PTDC%2FQUI-QUI%2F111060%2F2009/PT | |
| oaire.citation.endPage | 610 | por |
| oaire.citation.issue | 22 | por |
| oaire.citation.startPage | 603 | por |
| oaire.citation.title | SAR and QSAR Environmental Research | por |
| oaire.fundingStream | 5876-PPCDTI | |
| person.familyName | Abreu | |
| person.familyName | Ferreira | |
| person.givenName | Rui M.V. | |
| person.givenName | Isabel C.F.R. | |
| person.identifier | 144781 | |
| person.identifier.ciencia-id | 0F19-0DE2-12A2 | |
| person.identifier.ciencia-id | 9418-CF95-9919 | |
| person.identifier.orcid | 0000-0002-7745-8015 | |
| person.identifier.orcid | 0000-0003-4910-4882 | |
| person.identifier.rid | E-8500-2013 | |
| person.identifier.scopus-author-id | 7003290613 | |
| person.identifier.scopus-author-id | 36868826600 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | por |
| rcaap.type | article | por |
| relation.isAuthorOfPublication | cadb03a4-5e60-4745-b35f-fc3a97c071bc | |
| relation.isAuthorOfPublication | bd0d1537-2e03-41fb-b27a-140af9c35db8 | |
| relation.isAuthorOfPublication.latestForDiscovery | cadb03a4-5e60-4745-b35f-fc3a97c071bc | |
| relation.isProjectOfPublication | 9b495104-c0da-42f7-a1cf-3dd890babd69 | |
| relation.isProjectOfPublication.latestForDiscovery | 9b495104-c0da-42f7-a1cf-3dd890babd69 |
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