Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Marcus, Krantz"'
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-16 (2023)
Abstract Background Computational models of cell signaling networks are extremely useful tools for the exploration of underlying system behavior and prediction of response to various perturbations. By representing signaling cascades as executable Boo
Externí odkaz:
https://doaj.org/article/0db139fe0ff24c85bd66b8e9e043e574
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
The NLRP3 inflammasome is a key regulator of inflammation that responds to a broad range of stimuli. The exact mechanism of activation has not been determined, but there is a consensus on cellular potassium efflux as a major common denominator. Once
Externí odkaz:
https://doaj.org/article/88b02ba1336144bc8ce8ca3d0d44058c
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 1, p e1009702 (2022)
Boolean networks (BNs) have been developed to describe various biological processes, which requires analysis of attractors, the long-term stable states. While many methods have been proposed to detection and enumeration of attractors, there are no me
Externí odkaz:
https://doaj.org/article/176879909d4e4d478497967cb880b644
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
Whole-cell models hold great promise for fundamental and translational biology, but genome-scale modelling of signalling networks has been a challenge. Here, the authors present a genome-scale, mechanistic and executable model of the network controll
Externí odkaz:
https://doaj.org/article/0615cfea666e4b4e822c127ef0947045
Autor:
Stephan O Adler, Thomas W Spiesser, Friedemann Uschner, Ulrike Münzner, Jens Hahn, Marcus Krantz, Edda Klipp
Publikováno v:
FEMS yeast research. 22(1)
The cell division cycle in eukaryotic cells is a series of highly coordinated molecular interactions that ensure that cell growth, duplication of genetic material, and actual cell division are precisely orchestrated to give rise to two viable progeny
Autor:
Carl‐Fredrik Tiger, Falko Krause, Gunnar Cedersund, Robert Palmér, Edda Klipp, Stefan Hohmann, Hiroaki Kitano, Marcus Krantz
Publikováno v:
Molecular Systems Biology, Vol 8, Iss 1, Pp 1-20 (2012)
Abstract Intracellular signalling systems are highly complex. This complexity makes handling, analysis and visualisation of available knowledge a major challenge in current signalling research. Here, we present a novel framework for mapping signal‐
Externí odkaz:
https://doaj.org/article/7469b0e7c62d4355ba289a0e218b9f33
Autor:
Marcus Krantz, Doryaneh Ahmadpour, Lars‐Göran Ottosson, Jonas Warringer, Christian Waltermann, Bodil Nordlander, Edda Klipp, Anders Blomberg, Stefan Hohmann, Hiroaki Kitano
Publikováno v:
Molecular Systems Biology, Vol 5, Iss 1, Pp 1-7 (2009)
Abstract Cellular signalling networks integrate environmental stimuli with the information on cellular status. These networks must be robust against stochastic fluctuations in stimuli as well as in the amounts of signalling components. Here, we chall
Externí odkaz:
https://doaj.org/article/dd4e29d39cba4370bab90cb1d8732398
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 4, p e1004223 (2015)
Maintenance of cellular size is a fundamental systems level process that requires balancing of cell growth with proliferation. This is achieved via the cell division cycle, which is driven by the sequential accumulation and destruction of cyclins. Th
Externí odkaz:
https://doaj.org/article/e33e4f83401b4a7fa8e61526e2b65991
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 18, Iss 1, p e1009702 (2022)
PLoS Computational Biology, Vol 18, Iss 1, p e1009702 (2022)
Boolean networks (BNs) have been developed to describe various biological processes, which requires analysis of attractors, the long-term stable states. While many methods have been proposed to detection and enumeration of attractors, there are no me
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 1945
We present a protocol for building, validating, and simulating models of signal transduction networks. These networks are challenging modeling targets due to the combinatorial complexity and sparse data, which have made it a major challenge even to f