Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Julia Koehl"'
Autor:
Julia Koehler Leman, Pawel Szczerbiak, P. Douglas Renfrew, Vladimir Gligorijevic, Daniel Berenberg, Tommi Vatanen, Bryn C. Taylor, Chris Chandler, Stefan Janssen, Andras Pataki, Nick Carriero, Ian Fisk, Ramnik J. Xavier, Rob Knight, Richard Bonneau, Tomasz Kosciolek
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract For the past half-century, structural biologists relied on the notion that similar protein sequences give rise to similar structures and functions. While this assumption has driven research to explore certain parts of the protein universe, i
Externí odkaz:
https://doaj.org/article/3328dcc008b148b793b1b27ff83e69f8
Publikováno v:
Acta Physiologiae Plantarum. 34:1905-1914
The effect of light on ethylene and ethane production in damaged leaf tissues was investigated. When whole leaves of tobacco cv. Samsun NN were damaged with liquid nitrogen, the ethylene formation was the highest, if 100 % of leaves were injured and
Autor:
J. Fromm, Wolfgang Osswald, R. L. Portz, Sérgio Florentino Pascholati, D. Ernst, Julia Koehl, Frank Fleischmann
Publikováno v:
Forest Pathology. 41:202-211
Summary The aim of the work was to shed light into histological, physiological and molecular changes of Fagus sylvatica seedlings infected with the root pathogen Phytophthora citricola with the final goal to distinguish between local and systemic res
Publikováno v:
Physiological and Molecular Plant Pathology. 65:39-47
Tobacco necrosis virus (TNV) susceptibility of a cytokinin overproducing tobacco line (CTKm) transformed with a CaMV 35S :ipt gene construct was studied. Expression of the ipt gene was confirmed by RT-PCR. As a result of cytokinin excess caused by th
Publikováno v:
Plant Physiology and Biochemistry. 41:261-269
In this study we describe the response of two tobacco cultivars ( Nicotiana tabacum L. cv. Bel B and Bel W3) and their cell suspension cultures to quercinin, a novel elicitin produced by the oak pathogen Phytophthora quercina . N-terminal sequencing
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 3, p e1010947 (2023)
Lipid molecules such as cholesterol interact with the surface of integral membrane proteins (IMP) in a mode different from drug-like molecules in a protein binding pocket. These differences are due to the lipid molecule's shape, the membrane's hydrop
Externí odkaz:
https://doaj.org/article/add00a1800eb4d25b037fad3a0e8a498
Publikováno v:
Plant Physiology and Biochemistry. 37:73-81
Phytophthora quercina, P. citricola and P. gonapodyides isolated from declining oak roots and from soil rhizosphere in the field, released proteins into their culture medium. The proteins of P. quercina and P. gonapodyides caused severe chlorosis and
Autor:
Julia Koehler Leman, Sergey Lyskov, Steven M. Lewis, Jared Adolf-Bryfogle, Rebecca F. Alford, Kyle Barlow, Ziv Ben-Aharon, Daniel Farrell, Jason Fell, William A. Hansen, Ameya Harmalkar, Jeliazko Jeliazkov, Georg Kuenze, Justyna D. Krys, Ajasja Ljubetič, Amanda L. Loshbaugh, Jack Maguire, Rocco Moretti, Vikram Khipple Mulligan, Morgan L. Nance, Phuong T. Nguyen, Shane Ó Conchúir, Shourya S. Roy Burman, Rituparna Samanta, Shannon T. Smith, Frank Teets, Johanna K. S. Tiemann, Andrew Watkins, Hope Woods, Brahm J. Yachnin, Christopher D. Bahl, Chris Bailey-Kellogg, David Baker, Rhiju Das, Frank DiMaio, Sagar D. Khare, Tanja Kortemme, Jason W. Labonte, Kresten Lindorff-Larsen, Jens Meiler, William Schief, Ora Schueler-Furman, Justin B. Siegel, Amelie Stein, Vladimir Yarov-Yarovoy, Brian Kuhlman, Andrew Leaver-Fay, Dominik Gront, Jeffrey J. Gray, Richard Bonneau
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Computational methods are becoming an increasingly important part of biological research. Using the Rosetta framework as an example, the authors demonstrate how community-driven development of computational methods can be done in a reproducible and r
Externí odkaz:
https://doaj.org/article/7ccba8c202cd473d906c246ef7b2eb77
Publikováno v:
Plant Protection Science. 38:446-448
Autor:
Vladimir Gligorijević, P. Douglas Renfrew, Tomasz Kosciolek, Julia Koehler Leman, Daniel Berenberg, Tommi Vatanen, Chris Chandler, Bryn C. Taylor, Ian M. Fisk, Hera Vlamakis, Ramnik J. Xavier, Rob Knight, Kyunghyun Cho, Richard Bonneau
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
The rapid increase in the number of proteins in sequence databases and the diversity of their functions challenge computational approaches for automated function prediction. Here, the authors introduce DeepFRI, a Graph Convolutional Network for predi
Externí odkaz:
https://doaj.org/article/38a935b25ce6438ca4cd1a800c3d5727