Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Justin S Hogg"'
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 4, p e1003544 (2014)
Detailed modeling and simulation of biochemical systems is complicated by the problem of combinatorial complexity, an explosion in the number of species and reactions due to myriad protein-protein interactions and post-translational modifications. Ru
Externí odkaz:
https://doaj.org/article/70cb26f89ccc4d7888124f6d25ea011f
Publikováno v:
BIBM
Biochemical processes typically operate on molecular sites (domains, motifs, residues). In rule-based modeling languages such as BioNetGen (BNG), reactions driven by the same set of sites with the same rate law can be represented using a single react
Autor:
Ilya Korsunsky, Leonard A. Harris, John A. P. Sekar, Justin S. Hogg, Dipak Barua, Robert P. Sheehan, Arshi Arora, Sanjana Gupta, Jose-Juan Tapia, James R. Faeder
Publikováno v:
Bioinformatics (Oxford, England). 32(21)
BioNetGen is an open-source software package for rule-based modeling of complex biochemical systems. Version 2.2 of the software introduces numerous new features for both model specification and simulation. Here, we report on these additions, discuss
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 4, p e1003544 (2014)
PLoS Computational Biology
PLoS Computational Biology
Detailed modeling and simulation of biochemical systems is complicated by the problem of combinatorial complexity, an explosion in the number of species and reactions due to myriad protein-protein interactions and post-translational modifications. Ru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f19dee9d55fd4a6ff4a74c0ba0fec7e
http://arxiv.org/abs/1301.6854
http://arxiv.org/abs/1301.6854
Publikováno v:
Journal of Critical Care. 23:273