Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Grigoriy Armeev"'
Autor:
Dmitrii Zabelskii, Alexey Alekseev, Kirill Kovalev, Vladan Rankovic, Taras Balandin, Dmytro Soloviov, Dmitry Bratanov, Ekaterina Savelyeva, Elizaveta Podolyak, Dmytro Volkov, Svetlana Vaganova, Roman Astashkin, Igor Chizhov, Natalia Yutin, Maksim Rulev, Alexander Popov, Ana-Sofia Eria-Oliveira, Tatiana Rokitskaya, Thomas Mager, Yuri Antonenko, Riccardo Rosselli, Grigoriy Armeev, Konstantin Shaitan, Michel Vivaudou, Georg Büldt, Andrey Rogachev, Francisco Rodriguez-Valera, Mikhail Kirpichnikov, Tobias Moser, Andreas Offenhäusser, Dieter Willbold, Eugene Koonin, Ernst Bamberg, Valentin Gordeliy
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
Nucleocytoplasmic Large DNA Viruses (NCLDV) that infect algae encode two distinct families of microbial rhodopsins. Here, the authors characterise two proteins form the viral rhodopsin group 1 OLPVR1 and VirChR1, present the 1.4 Å crystal structure
Externí odkaz:
https://doaj.org/article/f981896af7bb43078f390f8fc77a17db
Autor:
Valery Novoseletsky, Mikhail Lozhnikov, Grigoriy Armeev, Aleksandr Kudriavtsev, Alexey Shaytan, Georgiy Kobelkov, Konstantin Shaitan
Publikováno v:
International Journal of Biomedicine, Vol 11, Iss Suppl_1, Pp 13-13 (2021)
Background: Protein structure determination using X-ray free-electron laser (XFEL) includes analysis and merging a large number of snapshot diffraction patterns. Convolutional neural networks are widely used to solve numerous computer vision problems
Externí odkaz:
https://doaj.org/article/7e771f55f8b647e88f5c93e6e163d3e2
Autor:
Valery Novoseletsky, Mikhail Lozhnikov, Grigoriy Armeev, Alexandr Kudriavtsev, Alexey Shaytan, Georgy Kobelkov, Konstantin Shaitan
Publikováno v:
International Journal of Biomedicine, Vol 9, Iss Suppl_1, Pp S39-S39 (2019)
Background: Protein structure determination using X-ray free-electron laser (XFEL) includes analysis and merging a large number of snapshot diffraction patterns. Convolutional neural networks are widely used to solve numerous computer vision problems
Externí odkaz:
https://doaj.org/article/5323fd62def54a8facd7800afc1a1fed
Publikováno v:
Nanoindustry Russia. 15:308-318
ПОРТАТИВНАЯ ЯЧЕЙКА ДЛЯ КАЧЕСТВЕННОЙ ОЦЕНКИ ПАРОПРОНИЦАЕМОСТИ ПЛЕНОЧНЫХ МАТЕРИАЛОВ
Publikováno v:
Biophysical Journal. 121:361a-362a