Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Laura Tünnermann"'
Publikováno v:
eLife, Vol 12 (2023)
Recent developments in deep learning, coupled with an increasing number of sequenced proteins, have led to a breakthrough in life science applications, in particular in protein property prediction. There is hope that deep learning can close the gap b
Externí odkaz:
https://doaj.org/article/b4247922f92d474bae24a43d4a1e2c23
Publikováno v:
Plant Molecular Biology. 109:413-425
The interaction between plants and plant pathogens can have significant effects on ecosystem performance. For their growth and development, both bionts rely on amino acids. While amino acids are key transport forms of nitrogen and can be directly abs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e67c7084fb5e4947ba51ca8b3de2c680
https://doi.org/10.1007/s11103-022-01244-1
https://doi.org/10.1007/s11103-022-01244-1
Autor:
Rumen Ivanov, Matias D. Zurbriggen, Johannes Meiser, Ksenia Trofimov, Tim Blomeier, Stefanie Weidtkamp-Peters, Regina Gratz, Rocio Ochoa-Fernandez, Laura Tünnermann, Tzvetina Brumbarova, Petra Bauer
Publikováno v:
The New Phytologist
Summary The key basic helix–loop–helix (bHLH) transcription factor in iron (Fe) uptake, FER‐LIKE IRON DEFICIENCY‐INDUCED TRANSCRIPTION FACTOR (FIT), is controlled by multiple signaling pathways, important to adjust Fe acquisition to growth an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85cb12b195440e89360d4d1ddcefb09e
https://pubmed.ncbi.nlm.nih.gov/31487399
https://pubmed.ncbi.nlm.nih.gov/31487399