Publications 2023

Cao Y, Pi W, Lin CY, Munzner U, Ohtomo M, Akutsu T (2023)
Common Attractors in Multiple Boolean Networks
IEEE/ACM Trans Comput Biol Bioinform, 20 (5), 2862-2873
DOI 10.1109/TCBB.2023.3268795, PubMed 37079419

Publications 2022

Adler SO, Spiesser TW, Uschner F, Münzner U, Hahn J, Krantz M, Klipp E (2022)
A yeast cell cycle model integrating stress, signaling, and physiology
FEMS Yeast Res, 22 (1)
DOI 10.1093/femsyr/foac026, PubMed 35617157

Münzner U, Mori T, Krantz M, Klipp E, Akutsu T (2022)
Identification of periodic attractors in Boolean networks using a priori information
PLoS Comput Biol, 18 (1), e1009702
DOI 10.1371/journal.pcbi.1009702, PubMed 35030172

Publications 2020

Romers J, Thieme S, Münzner U, Krantz M (2020)
A scalable method for parameter-free simulation and validation of mechanistic cellular signal transduction network models
NPJ Syst Biol Appl, 6, 2
DOI 10.1038/s41540-019-0120-5, PubMed 31934349

Publications 2019

Münzner U, Klipp E, Krantz M (2019)
A comprehensive, mechanistically detailed, and executable model of the cell division cycle in Saccharomyces cerevisiae
Nat Commun, 10 (1), 1308
DOI 10.1038/s41467-019-08903-w, PubMed 30899000

Romers J, Thieme S, Münzner U, Krantz M (2019)
Using rxncon to Develop Rule-Based Models
Methods Mol Biol, 1945, 71-118
DOI 10.1007/978-1-4939-9102-0_4, PubMed 30945243

Publications 2013

Rother M, Münzner U, Thieme S, Krantz M (2013)
Information content and scalability in signal transduction network reconstruction formats
Mol Biosyst, 9 (8), 1993-2004
DOI 10.1039/c3mb00005b, PubMed 23636168