Zobrazeno 1 - 10
of 35
pro vyhledávání: '"David Bednář"'
Autor:
Andrej Poljovka, Miloš Musil, David Bednář, Katarína Chovanová, Vladena Bauerová-Hlinková, Jana Bellová, Lenka Kohútová, Peter Baráth, Marcel Zámocký
Publikováno v:
Antioxidants, Vol 12, Iss 7, p 1382 (2023)
Catalase–peroxidases (KatGs) are unique bifunctional oxidoreductases that contain heme in their active centers allowing both the peroxidatic and catalatic reaction modes. These originally bacterial enzymes are broadly distributed among various fung
Externí odkaz:
https://doaj.org/article/f0d748baf5594de981a1b3f3b61b3d14
Autor:
Marcel Zámocký, Miloš Musil, Maksym Danchenko, Peter Ferianc, Katarína Chovanová, Peter Baráth, Andrej Poljovka, David Bednář
Publikováno v:
Biology, Vol 11, Iss 3, p 459 (2022)
In this study, we focus on a detailed bioinformatics analysis of hyBpox genes, mainly within the genomes of Sclerotiniaceae (Ascomycota, Leotiomycetes), which is a specifically evolved fungal family of necrotrophic host generalists and saprophytic or
Externí odkaz:
https://doaj.org/article/0f69423f27c14a7bbc4d175d6b9e47ec
Autor:
Gabin de La Bourdonnaye, Tereza Ghazalova, Petr Fojtik, Katerina Kutalkova, David Bednar, Jiri Damborsky, Vladimir Rotrekl, Veronika Stepankova, Radka Chaloupkova
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 942-951 (2024)
FGF21 is an endocrine signaling protein belonging to the family of fibroblast growth factors (FGFs). It has emerged as a molecule of interest for treating various metabolic diseases due to its role in regulating glucogenesis and ketogenesis in the li
Externí odkaz:
https://doaj.org/article/dfa7bab639fc453cbad54a637e1e360f
Autor:
Rayyan Tariq Khan, Petra Pokorna, Jan Stourac, Simeon Borko, Ihor Arefiev, Joan Planas-Iglesias, Adam Dobias, Gaspar Pinto, Veronika Szotkowska, Jaroslav Sterba, Ondrej Slaby, Jiri Damborsky, Stanislav Mazurenko, David Bednar
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-10 (2024)
Abstract Every year, more than 19 million cancer cases are diagnosed, and this number continues to increase annually. Since standard treatment options have varying success rates for different types of cancer, understanding the biology of an individua
Externí odkaz:
https://doaj.org/article/138a77a9475c4a66973983bff91f0986
Autor:
Ondřej Vávra, Barbora Kozlíková, Vojtěch Vonásek, Jiří Damborský, Jan Byška, David Bednář, Katarína Furmanová
Publikováno v:
Computer Graphics Forum. 39:452-464
Computation of trajectories for ligand binding and unbinding via protein tunnels and channels is important for predicting possible protein-ligand interactions. These highly complex processes can be simulated by several software tools, which provide b