Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks.

Lakrisenko, Polina; Stapor, Paul; Grein, Stephan; Paszkowski, Lukasz; Pathirana, Dilan; Fröhlich, Fabian; Lines, Glenn Terje; Weindl, Daniel; Hasenauer, Jan

Lakrisenko, Polina; Stapor, Paul; Grein, Stephan; Paszkowski, Lukasz; Pathirana, Dilan; Fröhlich, Fabian; Lines, Glenn Terje; Weindl, Daniel; Hasenauer, Jan.

Affiliation

Lakrisenko P; Computational Health Center, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany.
Stapor P; Center for Mathematics, Technische Universität München, Garching, Germany.
Grein S; Computational Health Center, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany.
Paszkowski L; Center for Mathematics, Technische Universität München, Garching, Germany.
Pathirana D; University of Bonn, Life and Medical Sciences Institute, Bonn, Germany.
Fröhlich F; Simula Research Laboratory, Oslo, Norway.
Lines GT; University of Bonn, Life and Medical Sciences Institute, Bonn, Germany.
Weindl D; Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.
Hasenauer J; Simula Research Laboratory, Oslo, Norway.

PLoS Comput Biol ; 19(1): e1010783, 2023 01.

Article in En | MEDLINE | ID: mdl-36595539

Subject(s)

Models, Biological; Systems Biology; Computer Simulation; Systems Biology/methods; Algorithms

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Systems Biology / Models, Biological Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2023 Document type: Article Affiliation country: Germany Country of publication: United States

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