Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Avlant Nilsson"'
Autor:
Nikolaos Meimetis, Krista M. Pullen, Daniel Y. Zhu, Avlant Nilsson, Trong Nghia Hoang, Sara Magliacane, Douglas A. Lauffenburger
Publikováno v:
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-19 (2024)
Abstract The development of therapeutics and vaccines for human diseases requires a systematic understanding of human biology. Although animal and in vitro culture models can elucidate some disease mechanisms, they typically fail to adequately recapi
Externí odkaz:
https://doaj.org/article/d709836e3f53497f9d22e8848afa7d5b
Publikováno v:
iScience, Vol 27, Iss 4, Pp 109509- (2024)
Summary: Many diseases emerge from dysregulated cellular signaling, and drugs are often designed to target specific signaling proteins. Off-target effects are, however, common and may ultimately result in failed clinical trials. Here we develop a com
Externí odkaz:
https://doaj.org/article/e27deefd60e146d69deed574cc746216
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-16 (2022)
Many diseases are caused by disruptions to the network of biochemical reactions that allow cells to respond to external signals. Here Nilsson et al develop a method to simulate cellular signaling using artificial neural networks to predict cellular r
Externí odkaz:
https://doaj.org/article/a431ee9dd0cf46e596b2b786b137e648
Autor:
Bronwyn M. Gunn, Ryan P. McNamara, Lianna Wood, Sabian Taylor, Anush Devadhasan, Wenyu Guo, Jishnu Das, Avlant Nilsson, Amy Shurtleff, Sheri Dubey, Michael Eichberg, Todd J. Suscovich, Erica Ollmann Saphire, Douglas Lauffenburger, Beth-Ann Coller, Jakub K. Simon, Galit Alter
Publikováno v:
Cell Reports, Vol 42, Iss 4, Pp 112402- (2023)
Summary: The 2013 Ebola epidemic in Central and West Africa heralded the emergence of wide-spread, highly pathogenic viruses. The successful recombinant vector vaccine against Ebola (rVSVΔG-ZEBOV-GP) will limit future outbreaks, but identifying mech
Externí odkaz:
https://doaj.org/article/90fb68c6d5eb4c3e91f4e4eb1c155d42
Autor:
Paige N. Vega, Avlant Nilsson, Manu P. Kumar, Hiroaki Niitsu, Alan J. Simmons, James Ro, Jiawei Wang, Zhengyi Chen, Brian A. Joughin, Wei Li, Eliot T. McKinley, Qi Liu, Joseph T. Roland, M. Kay Washington, Robert J. Coffey, Douglas A. Lauffenburger, Ken S. Lau
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
The tumor microenvironment plays a key role in the pathogenesis of colorectal tumors and contains various cell types including epithelial, immune, and mesenchymal cells. Characterization of the interactions between these cell types is necessary for r
Externí odkaz:
https://doaj.org/article/6217fa8676db45dfb3ac2e1f123faa26
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
During high-intensity exercise, muscles convert glucose to lactate, in a process that is energetically less efficient than respiration. Here the authors develop a computational model based on muscle proteomic data showing that bypassing mitochondrial
Externí odkaz:
https://doaj.org/article/7708f790e64b4976bab3e3919e239909
Autor:
Benjamín J Sánchez, Cheng Zhang, Avlant Nilsson, Petri‐Jaan Lahtvee, Eduard J Kerkhoven, Jens Nielsen
Publikováno v:
Molecular Systems Biology, Vol 13, Iss 8, Pp 1-16 (2017)
Abstract Genome‐scale metabolic models (GEMs) are widely used to calculate metabolic phenotypes. They rely on defining a set of constraints, the most common of which is that the production of metabolites and/or growth are limited by the carbon sour
Externí odkaz:
https://doaj.org/article/2104f48007de4f02904b64ab55859a4b
Publikováno v:
npj Systems Biology and Applications, Vol 3, Iss 1, Pp 1-9 (2017)
Systems biology: Feeding breast milk to a computer model of a baby A research group headed by Prof. Jens Nielsen from Chalmers University of Technology built a computer model of a newborn baby (0–6 months). The computer model simulated a baby’s m
Externí odkaz:
https://doaj.org/article/2fb10b3c40cc4a5ca8f170d8001c95c7
Mammalian cells adapt their functional state in response to external signals in form of ligands that bind receptors on the cell-surface. Mechanistically, this involves signal-processing through a complex network of molecular interactions that govern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c82793b007f8e5f4a1ba1b275471390a
https://doi.org/10.1101/2021.09.24.461703
https://doi.org/10.1101/2021.09.24.461703
Publikováno v:
Nature communications. 13(1)
Mammalian cells adapt their functional state in response to external signals in form of ligands that bind receptors on the cell-surface. Mechanistically, this involves signal-processing through a complex network of molecular interactions that govern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1478f15b29a7e6b9e31423855ebeb39e
https://pubmed.ncbi.nlm.nih.gov/35654811
https://pubmed.ncbi.nlm.nih.gov/35654811