Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Lucy Ojomoko"'
Autor:
Vladimir Kost, Dmitry Sukhov, Igor Ivanov, Igor Kasheverov, Lucy Ojomoko, Irina Shelukhina, Vera Mozhaeva, Denis Kudryavtsev, Alexey Feofanov, Anastasia Ignatova, Yuri Utkin, Victor Tsetlin
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 23, p 16950 (2023)
SLURP-1 is a three-finger human protein targeting nicotinic acetylcholine receptors (nAChRs). The recombinant forms of SLURP-1 produced in E. coli differ in added fusion fragments and in activity. The closest in sequence to the naturally occurring SL
Externí odkaz:
https://doaj.org/article/4805e3b901194fccb15b111fbfca6ca1
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 7, p 6524 (2023)
Nicotinic acetylcholine receptors (nAChRs) present as many different subtypes in the nervous and immune systems, muscles and on the cells of other organs. In the immune system, inflammation is regulated via the vagus nerve through the activation of t
Externí odkaz:
https://doaj.org/article/c4696d777b804e639c6caa1cc42fee7b
Autor:
Irina Shelukhina, Ekaterina Spirova, Denis Kudryavtsev, Lucy Ojomoko, Markus Werner, Christoph Methfessel, Michael Hollmann, Victor Tsetlin
Publikováno v:
PLoS ONE, Vol 12, Iss 8, p e0181936 (2017)
Elucidation of the structural basis of pharmacological differences for highly homologous α7 and α9 nicotinic acetylcholine receptors (nAChRs) may shed light on their involvement in different physiological functions and diseases. Combination of site
Externí odkaz:
https://doaj.org/article/1a7a6d78cc5d4d3f8d322d409ea161df
Autor:
Alex Zhavoronkov, Iraneus Obioma Ogu, Konstantin Romantsov, Eugene Izumchenko, Alexander Zhebrak, Polina Mamoshina, Yury Yanovich, Alex Botezatu, Pavel Prikhodko, Lucy Ojomoko, Alex Ostrovski, Alexander Aliper
Publikováno v:
Oncotarget
The increased availability of data and recent advancements in artificial intelligence present the unprecedented opportunities in healthcare and major challenges for the patients, developers, providers and regulators. The novel deep learning and trans