Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jan Mathony"'
Publikováno v:
Advanced Science, Vol 10, Iss 28, Pp n/a-n/a (2023)
Abstract Domain insertion engineering is a promising approach to recombine the functions of evolutionarily unrelated proteins. Insertion of light‐switchable receptor domains into a selected effector protein, for instance, can yield allosteric effec
Externí odkaz:
https://doaj.org/article/57d99c1e62b547e6b91c3cbcd6c45dbb
Autor:
Roland Eils, Stéphane Rosset, Andreas Scheck, Jan Mathony, Julius Upmeier zu Belzen, Wei Sun, Bruno E. Correia, Christina Stengl, Sandrine Georgeon, Dominik Niopek, Mareike D. Hoffmann, Sabine Aschenbrenner, Carolin Schmelas, Zander Harteveld, Yanli Wang, Dirk Grimm
Publikováno v:
Nature Chemical Biology. 16:725-730
Anti-CRISPR (Acr) proteins are powerful tools to control CRISPR-Cas technologies. However, the available Acr repertoire is limited to naturally occurring variants. Here, we applied structure-based design on AcrIIC1, a broad-spectrum CRISPR-Cas9 inhib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::633addc7819fcadf4faf5cc3cab783af
https://doi.org/10.1038/s41589-020-0518-9
https://doi.org/10.1038/s41589-020-0518-9
Autor:
Bruno E. Correia, Daniel Heid, Jan Mathony, Tobias Stadelmann, Stéphane Rosset, Michael Jendrusch, Dominik Niopek
Deep mutational scanning is a powerful method to explore the mutational fitness landscape of proteins. Its adaptation to anti-CRISPR proteins, which are natural CRISPR-Cas inhibitors and key players in the co-evolution of microbes and phages, would f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9873dcc1182f05c0cb78244d47ecfa99
https://doi.org/10.1101/2021.08.21.457204
https://doi.org/10.1101/2021.08.21.457204
Autor:
Chiara Di Ponzio, Roland Eils, Lukas Adam, Jan Mathony, Dominik Niopek, Megan L. Stanifer, Steeve Boulant, Stefan M Kallenberger, Fabian Springer
The worldwide spread of severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) caused an urgent need for an in-depth understanding of interactions between the virus and its host. Here, we dissected the dynamics of virus replication and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6d0bb0a3fc0cb1d9f6de7cf189dad79
https://doi.org/10.1101/2021.07.04.450986
https://doi.org/10.1101/2021.07.04.450986
Autor:
Daniel Heid, Dominik Niopek, Max C. Waldhauer, Irina Lehmann, Moritz Jakob Przybilla, Pauline L. Pfuderer, Roland Eils, Thore Bürgel, Catharina Gandor, Marita Klein, Mareike D. Hoffmann, Carolin Schmelas, Felix Bubeck, Julius Upmeier zu Belzen, Lukas Platz, Jan Mathony, Lukas Adam, Stefan Holderbach, Max Schwendemann, Michael Jendrusch
Publikováno v:
Nature Machine Intelligence. 1:225-235
Proteins are nature’s most versatile molecular machines. Deep neural networks trained on large protein datasets have recently been used to tackle the unmet complexity of protein sequence–function relationships. The implicit knowledge contained in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10e606d599d7c8b4e6ebd1de2fc5b7df
https://doi.org/10.1038/s42256-019-0049-9
https://doi.org/10.1038/s42256-019-0049-9
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2173
Since the breakthrough discoveries that CRISPR-Cas9 nucleases can be easily programmed and employed to induce targeted double-strand breaks in mammalian cells, the gene editing field has grown exponentially. Today, CRISPR technologies based on engine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::5b3731d023d04a772eab6aa71b13c144
https://pubmed.ncbi.nlm.nih.gov/32651924
https://pubmed.ncbi.nlm.nih.gov/32651924
Publikováno v:
Methods in Molecular Biology ISBN: 9781071607541
Since the breakthrough discoveries that CRISPR-Cas9 nucleases can be easily programmed and employed to induce targeted double-strand breaks in mammalian cells, the gene editing field has grown exponentially. Today, CRISPR technologies based on engine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e1d1970c05e926a1923d24105610223
https://doi.org/10.1007/978-1-0716-0755-8_18
https://doi.org/10.1007/978-1-0716-0755-8_18
Autor:
Jan Mathony, Bruno E. Correia, Mareike D. Hoffmann, Dominik Niopek, Christina Stengl, Roland Eils, Julius Upmeier zu Belzen, Zander Harteveld
Optogenetic control of CRISPR-Cas9 systems has significantly improved our ability to perform genome perturbations in living cells with high precision in time and space. As new Cas orthologues with advantageous properties are rapidly being discovered
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbfd0b3934d582e0d355add8fd46f90f
https://doi.org/10.1101/858589
https://doi.org/10.1101/858589
Autor:
Sabine Aschenbrenner, Bruno E. Correia, Christina Stengl, Zander Harteveld, Jan Mathony, Roland Eils, Stéphane Rosset, Mareike D. Hoffmann, Andreas Scheck, Julius Upmeier zu Belzen, Carolin Schmelas, Dirk Grimm, Dominik Niopek
Anti-CRISPR (Acr) proteins are bacteriophage-derived antagonists of CRISPR-Cas systems. To date, Acrs were obtained either by mining sequence databanks or experimentally screening phage collections, both of which yield a limited repertoire of natural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c5dd331b3435fe46c584c540a592765
Autor:
Jan, Mathony, Zander, Harteveld, Carolin, Schmelas, Julius, Upmeier Zu Belzen, Sabine, Aschenbrenner, Wei, Sun, Mareike D, Hoffmann, Christina, Stengl, Andreas, Scheck, Sandrine, Georgeon, Stéphane, Rosset, Yanli, Wang, Dirk, Grimm, Roland, Eils, Bruno E, Correia, Dominik, Niopek
Publikováno v:
Nature chemical biology. 16(7)
Anti-CRISPR (Acr) proteins are powerful tools to control CRISPR-Cas technologies. However, the available Acr repertoire is limited to naturally occurring variants. Here, we applied structure-based design on AcrIIC1, a broad-spectrum CRISPR-Cas9 inhib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6b363fb986f645e24595ba4508191463
https://pubmed.ncbi.nlm.nih.gov/32284602
https://pubmed.ncbi.nlm.nih.gov/32284602