Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Lukas Adam"'
Autor:
Katharina Krenn, Petra Höbart, Lukas Adam, Gregor Riemann, Finn Christiansen, Oliver Domenig, Roman Ullrich
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
IntroductionThe classical axis of the renin–angiotensin system (RAS) makes an important contribution to blood pressure regulation under general anesthesia via the vasopressor angiotensin II (Ang II). As part of the alternative RAS, angiotensin-conv
Externí odkaz:
https://doaj.org/article/cdc71c45da4d47f3b9f477219c9175e6
Autor:
Christoph Oehler, Michel Zimmermann, Lukas Adam, Juergen Curschmann, Marcin Sumila, Räto T. Strebel, Richard Cathomas, Qiyu Li, Uwe Schneider, Daniel R. Zwahlen
Publikováno v:
BMC Urology, Vol 19, Iss 1, Pp 1-8 (2019)
Abstract Background In patients presenting with limited nodal recurrence following radical prostatectomy (RP), stereotactic body radiotherapy (SBRT) results might improve with a better case selection. Methods Single-institution retrospective analysis
Externí odkaz:
https://doaj.org/article/dea935924caf4b8690c6ebc0157e4145
RASPD+: Fast Protein-Ligand Binding Free Energy Prediction Using Simplified Physicochemical Features
Publikováno v:
Frontiers in Molecular Biosciences, Vol 7 (2020)
The virtual screening of large numbers of compounds against target protein binding sites has become an integral component of drug discovery workflows. This screening is often done by computationally docking ligands into a protein binding site of inte
Externí odkaz:
https://doaj.org/article/3437442001cb425883ab6d952067e277
Autor:
Olgun Elicin, Ekin Ermiş, Christoph Oehler, Daniel M. Aebersold, Francesca Caparrotti, Frank Zimmermann, Gabriela Studer, Guido Henke, Lukas Adam, Lukas Anschuetz, Mahmut Ozsahin, Matthias Guckenberger, Mohamed Shelan, Nuri Kaydıhan, Oliver Riesterer, Robin J. D. Prestwich, Thierry Spielmann, Roland Giger, Mehmet Şen
Publikováno v:
Frontiers in Oncology, Vol 9 (2019)
Background and Purpose: Larynx cancer represents one of the most frequently diagnosed head and neck malignancies, which is most often confined to the glottic area. The aim of this study was to report the oncological outcome and identify prognostic fa
Externí odkaz:
https://doaj.org/article/9a7b869d2c1e46e3abf65eff85b1ab69
Autor:
Lukas, Adam, Sykora, Jindrich
Publikováno v:
Annals of DAAAM & Proceedings. 2022, Vol. 33, p511-518. 8p.
NASA, ESA and the UK are collaborating on a Mars Sample Return (MSR) mission which aims to retrieve drill cores of Martian rock for terrestrial analysis, starting with the Mars2020 rover which landed successfully in Jezero Crater in Feb. 2021. Up to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::181f28cc307b916f0a2f898f1dc2f3bb
https://doi.org/10.5194/egusphere-egu23-14721
https://doi.org/10.5194/egusphere-egu23-14721
Multiphase converters are systems with multiple degrees of freedom (DOF) and provide space for control optimization. Widely-spread space vector PWM methods offer competitive results. However, they are rather complicated due to high number of switchin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ee853d116d60550807e46de4cfe42c0
http://hdl.handle.net/11025/51839
http://hdl.handle.net/11025/51839
Publikováno v:
Nature Machine Intelligence. 2:800-809
Recent advances in single-cell RNA sequencing have driven the simultaneous measurement of the expression of thousands of genes in thousands of single cells. These growing datasets allow us to model gene sets in biological networks at an unprecedented
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