Cited 2 time in
Identification of novel protein tyrosine phosphatase sigma inhibitors promoting neurite extension
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Hye Seon | - |
| dc.contributor.author | Ku, Bonsu | - |
| dc.contributor.author | Park, Tae Hyun | - |
| dc.contributor.author | Park, Hwangseo | - |
| dc.contributor.author | Choi, Joong-Kwon | - |
| dc.contributor.author | Chang, Kyu-Tae | - |
| dc.contributor.author | Kim, Cheol-Hee | - |
| dc.contributor.author | Ryu, Seong Eon | - |
| dc.contributor.author | Kim, Seung Jun | - |
| dc.date.accessioned | 2021-07-30T05:36:11Z | - |
| dc.date.available | 2021-07-30T05:36:11Z | - |
| dc.date.issued | 2016-01 | - |
| dc.identifier.issn | 0960-894X | - |
| dc.identifier.issn | 1464-3405 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/5674 | - |
| dc.description.abstract | Protein tyrosine phosphatase sigma (PTP sigma) is a potential target for the therapeutic treatment of neurological deficits associated with impaired neuronal recovery, as this protein is the receptor for chondroitin sulfate proteoglycan (CSPG), which is known to inhibit neuronal regeneration. Through a high-throughput screening approach started from 6400 representative compounds in the Korea Chemical Bank chemical library, we identified 11 novel PTP sigma inhibitors that can be classified as flavonoid derivatives or analogs, with IC50 values ranging from 0.5 to 17.5 mu M. Biochemical assays and structure-based active site-docking simulation indicate that our inhibitors are accommodated at the catalytic active site of PTP sigma as surrogates for the phosphotyrosine group. Treatments of these compounds on PC-12 neuronal cells led to the recovery of neurite extension attenuated by CSPG treatment, demonstrating their potential as antineurodegenerative agents. | - |
| dc.format.extent | 7 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Pergamon Press Ltd. | - |
| dc.title | Identification of novel protein tyrosine phosphatase sigma inhibitors promoting neurite extension | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1016/j.bmcl.2015.11.026 | - |
| dc.identifier.scopusid | 2-s2.0-84949530324 | - |
| dc.identifier.wosid | 000366161600018 | - |
| dc.identifier.bibliographicCitation | Bioorganic & Medicinal Chemistry Letters, v.26, no.1, pp 87 - 93 | - |
| dc.citation.title | Bioorganic & Medicinal Chemistry Letters | - |
| dc.citation.volume | 26 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 87 | - |
| dc.citation.endPage | 93 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | sci | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Pharmacology & Pharmacy | - |
| dc.relation.journalResearchArea | Chemistry | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Medicinal | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Organic | - |
| dc.subject.keywordPlus | PTP-SIGMA | - |
| dc.subject.keywordPlus | NEURAL REGENERATION | - |
| dc.subject.keywordPlus | RECEPTOR | - |
| dc.subject.keywordPlus | PROTEOGLYCAN | - |
| dc.subject.keywordPlus | DISCOVERY | - |
| dc.subject.keywordPlus | NEURONS | - |
| dc.subject.keywordPlus | MICE | - |
| dc.subject.keywordPlus | CNS | - |
| dc.subject.keywordAuthor | Protein tyrosine phosphatase | - |
| dc.subject.keywordAuthor | PTP sigma | - |
| dc.subject.keywordAuthor | Receptor type PTP | - |
| dc.subject.keywordAuthor | Inhibitor | - |
| dc.subject.keywordAuthor | High-throughput screening | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0960894X15302341?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
