Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Rxncon"'
Autor:
Carretero Chavez, Willow1,2 (AUTHOR), Krantz, Marcus3,4 (AUTHOR), Klipp, Edda3 (AUTHOR), Kufareva, Irina1 (AUTHOR) ikufareva@ucsd.edu
Publikováno v:
BMC Bioinformatics. 6/12/2023, Vol. 24 Issue 1, p1-16. 16p.
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
We present a protocol for building, validating and simulating models of signal transduction networks. These networks are challenging modelling targets due to the combinatorial complexity and sparse data, which have made it a major challenge even to f
Externí odkaz:
http://arxiv.org/abs/1802.01328
Autor:
Tomoya Mori1, Flöttmann, Max2, Krantz, Marcus2, Tatsuya Akutsu1, Klipp, Edda2 edda.klipp@rz.hu-berlin.de
Publikováno v:
BMC Systems Biology. Aug2015, Vol. 9 Issue 1, p1-9. 9p.
Akademický článek
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Autor:
Thieme, Sebastian
Lebende Organismen sind komplexe Systeme von miteinander interagierenden Komponen- ten. Ein entscheidender Schritt zum besseren Verständnis solcher biologischen Systeme ist die Erstellung biologischer Netzwerke, welche unser bisheriges Verständni
Externí odkaz:
http://edoc.hu-berlin.de/18452/19146
Autor:
Romers J; Institute of Biology, Humboldt-Universität zu Berlin, Berlin, Germany., Thieme S; Institute of Biology, Humboldt-Universität zu Berlin, Berlin, Germany., Münzner U; Institute of Biology, Humboldt-Universität zu Berlin, Berlin, Germany.; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Japan., Krantz M; Institute of Biology, Humboldt-Universität zu Berlin, Berlin, Germany. marcus.krantz@rxncon.org.
Publikováno v:
Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2019; Vol. 1945, pp. 71-118.
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2b76a334bd91573c5005915db8381c86
https://pubmed.ncbi.nlm.nih.gov/30945243
https://pubmed.ncbi.nlm.nih.gov/30945243
Publikováno v:
Modeling Biomolecular Site Dynamics ISBN: 9781493991006
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d4918fa70ce2ac37059f8b2008e668a
https://doi.org/10.1007/978-1-4939-9102-0_4
https://doi.org/10.1007/978-1-4939-9102-0_4
Publikováno v:
BMC Systems Biology
Background: Cellular decision-making is governed by molecular networks that are highly complex. An integrative understanding of these networks on a genome wide level is essential to understand cellular health and disease. In most cases however, such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ea57217628157cb06d4167f64bbed56
http://hdl.handle.net/2433/210427
http://hdl.handle.net/2433/210427