Zobrazeno 1 - 10
of 677
pro vyhledávání: '"Secretin receptor"'
Autor:
Robert Ardecky, Daniela G. Dengler, Kaleeckal G. Harikumar, Mathew M. Abelman, Jiwen Zou, Bryan A. Kramer, Santhi Reddy Ganji, Steve Olson, Alina Ly, Nikhil Puvvula, Chen-Ting Ma, Raghuveer Ramachandra, Eduard A. Sergienko, Laurence J. Miller
Publikováno v:
SLAS Discovery, Vol 29, Iss 6, Pp 100176- (2024)
Agonists of the secretin receptor have potential applications for diseases of the cardiovascular, gastrointestinal, and metabolic systems, yet no clinically-active non-peptidyl agonists of this receptor have yet been developed. In the current work, w
Externí odkaz:
https://doaj.org/article/3eddfc13db42404aa4f87b29244f0ab2
Akademický článek
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Akademický článek
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Akademický článek
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Secretin Receptor as a Target in Gastrointestinal Cancer: Expression Analysis and Ligand Development
Publikováno v:
Biomedicines, Vol 10, Iss 3, p 536 (2022)
Secretin was originally discovered as a gastrointestinal peptide that stimulates fluid secretion from the pancreas and liver and delays gastric emptying. In disease, a secretin receptor (SCTR) was found to occur as a splice variant in gastrinoma and
Externí odkaz:
https://doaj.org/article/0b82e9c7af0343fcb9ecc25aa21ffe6f
Autor:
Revathi Sekar, Billy K.C. Chow
Publikováno v:
Journal of Lipid Research, Vol 55, Iss 2, Pp 190-200 (2014)
Secretin (Sct), a classical gut hormone, is now known to play pleiotropic functions in the body including osmoregulation, digestion, and feeding control. As Sct has long been implicated to regulate metabolism, in this report, we have investigated a p
Externí odkaz:
https://doaj.org/article/2d6f144ca1ce40fd8ba0abbde31677f4
Autor:
Satoshi Fukuhara, Tsukasa Kusakizako, Wataru Shihoya, Osamu Nureki, Wataru Iida, Masahiko Kato, Kazuhiro Kobayashi
Publikováno v:
Biochemical and Biophysical Research Communications. 533:861-866
Secretin is a gastrointestinal hormone that exerts multiple physiological functions via activation of the secretin receptor (SECR). SECR belongs to the class B G-protein-coupled receptors and is involved in various processes, such as regulation of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6289448ef03e64355d53175a60e0aa1c
https://doi.org/10.1016/j.bbrc.2020.08.042
https://doi.org/10.1016/j.bbrc.2020.08.042
Autor:
Xin Huang, Yaping Sun, Hong-Wei Wang, Ruobing Ren, Dandan Zhang, Cui Li, Xiaoqing Chen, Xun Li, Yunpeng Song, Yao Ding, Wenge Zhong, Essa Hu Harrington, Cen Xu, Jia Wang, Xianqiang Song, Liaoyuan A. Hu, Yingli Ma
Publikováno v:
Cell Research
The pituitary adenylate cyclase-activating polypeptide type I receptor (PAC1R) belongs to the secretin receptor family and is widely distributed in the central neural system and peripheral organs. Abnormal activation of the receptor mediates trigemin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf85fe25f4b0853fac1595a613be093b
https://doi.org/10.1038/s41422-020-0280-2
https://doi.org/10.1038/s41422-020-0280-2
Autor:
Sang-Soo Lee, Ashish Ranjan Sharma, Garima Sharma, Manojit Bhattacharya, Chiranjib Chakraborty
Publikováno v:
International Journal of Peptide Research and Therapeutics
The diverse, evolutionary architectures of proteins can be regarded as molecular fossils, tracing a historical path that marks important milestones across life. The B1-subfamily of GPCRs (G-protein-coupled receptors) are medically significant protein
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4abf8f6fd4cf6e887f2f97203451c579
https://doi.org/10.1007/s10989-020-10043-5
https://doi.org/10.1007/s10989-020-10043-5
Autor:
Dorota Latek, Mikołaj Mizera
Publikováno v:
International Journal of Molecular Sciences
Volume 22
Issue 8
International Journal of Molecular Sciences, Vol 22, Iss 4060, p 4060 (2021)
Volume 22
Issue 8
International Journal of Molecular Sciences, Vol 22, Iss 4060, p 4060 (2021)
The large amount of data that has been collected so far for G protein-coupled receptors requires machine learning (ML) approaches to fully exploit its potential. Our previous ML model based on gradient boosting used for prediction of drug affinity an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45bb2e39b5e54ca535f4a93cf70d62d7