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Lead discovery and in silico 3D structure modeling of tumorigenic FAM72A (p17)
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Pramanik, Subrata | - |
| dc.contributor.author | Kutzner, Arne | - |
| dc.contributor.author | Heese, Klaus | - |
| dc.date.accessioned | 2022-07-16T00:54:49Z | - |
| dc.date.available | 2022-07-16T00:54:49Z | - |
| dc.date.issued | 2015-01 | - |
| dc.identifier.issn | 1010-4283 | - |
| dc.identifier.issn | 1423-0380 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/158098 | - |
| dc.description.abstract | FAM72A (p17) is a novel neuronal protein that has been linked to tumorigenic effects in non-neuronal tissue. Using state of the art in silico physicochemical analyses (e.g., I-TASSER, RaptorX, and Modeller), we determined the three-dimensional (3D) protein structure of FAM72A and further identified potential ligand-protein interactions. Our data indicate a Zn2+/Fe3+-containing 3D protein structure, based on a 3GA3_A model template, which potentially interacts with the organic molecule RSM ((2s)-2-(acetylamino)-N-methyl-4-[(R)-methylsulfinyl] butanamide). The discovery of RSM may serve as potential lead for further anti-FAM72A drug screening tests in the pharmaceutical industry because interference with FAM72A's activities via RSM-related molecules might be a novel option to influence the tumor suppressor protein p53 signaling pathways for the treatment of various types of cancers. | - |
| dc.format.extent | 11 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Springer Verlag | - |
| dc.title | Lead discovery and in silico 3D structure modeling of tumorigenic FAM72A (p17) | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1007/s13277-014-2620-7 | - |
| dc.identifier.scopusid | 2-s2.0-84925492190 | - |
| dc.identifier.wosid | 000350477300026 | - |
| dc.identifier.bibliographicCitation | Tumor Biology, v.36, no.1, pp 239 - 249 | - |
| dc.citation.title | Tumor Biology | - |
| dc.citation.volume | 36 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 239 | - |
| dc.citation.endPage | 249 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Oncology | - |
| dc.relation.journalWebOfScienceCategory | Oncology | - |
| dc.subject.keywordPlus | MOLECULAR-DYNAMICS SIMULATIONS | - |
| dc.subject.keywordPlus | PROTEIN-STRUCTURE | - |
| dc.subject.keywordPlus | STRUCTURE PREDICTION | - |
| dc.subject.keywordPlus | SECONDARY STRUCTURE | - |
| dc.subject.keywordPlus | BINDING-SITE | - |
| dc.subject.keywordPlus | CANCER | - |
| dc.subject.keywordPlus | RECEPTOR | - |
| dc.subject.keywordPlus | DOCKING | - |
| dc.subject.keywordPlus | GENERATION | - |
| dc.subject.keywordPlus | HALLMARKS | - |
| dc.subject.keywordAuthor | Ugene | - |
| dc.subject.keywordAuthor | FAM72A | - |
| dc.subject.keywordAuthor | In silico | - |
| dc.subject.keywordAuthor | 3D structure | - |
| dc.subject.keywordAuthor | Cancer | - |
| dc.subject.keywordAuthor | RSM | - |
| dc.identifier.url | https://link.springer.com/article/10.1007/s13277-014-2620-7 | - |
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