Panuwat Trairatphisan
Panuwat Trairatphisan
AbbVie Germany
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Cited by
Cited by
Recent development and biomedical applications of probabilistic Boolean networks
P Trairatphisan, A Mizera, J Pang, AA Tantar, J Schneider, T Sauter
Cell communication and signaling 11 (1), 1-25, 2013
optPBN: An optimisation toolbox for probabilistic Boolean networks
P Trairatphisan, A Mizera, J Pang, AA Tantar, T Sauter
PloS one 9 (7), e98001, 2014
L‐plastin Ser5 phosphorylation in breast cancer cells and in vitro is mediated by RSK downstream of the ERK/MAPK pathway
MJ Lommel, P Trairatphisan, K Gäbler, C Laurini, A Muller, T Kaoma, ...
The FASEB Journal 30 (3), 1218-1233, 2016
From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL
A Liu, P Trairatphisan, E Gjerga, A Didangelos, J Barratt, ...
NPJ systems biology and applications 5 (1), 1-10, 2019
A Probabilistic Boolean Network approach for the analysis of cancer-specific signalling: A case study of deregulated pdgf signalling in GIST
P Trairatphisan, M Wiesinger, C Bahlawane, S Haan, T Sauter
PloS one 11 (5), e0156223, 2016
Dysregulated mesenchymal PDGFR‐β drives kidney fibrosis
EM Buhl, S Djudjaj, BM Klinkhammer, K Ermert, VG Puelles, ...
EMBO molecular medicine 12 (3), e11021, 2020
FALCON: a toolbox for the fast contextualization of logical networks
S De Landtsheer, P Trairatphisan, P Lucarelli, T Sauter
Bioinformatics 33 (21), 3431-3436, 2017
Converting networks to predictive logic models from perturbation signalling data with CellNOpt
E Gjerga, P Trairatphisan, A Gabor, H Koch, C Chevalier, F Ceccarelli, ...
Bioinformatics 36 (16), 4523-4524, 2020
Probabilistic model checking of the PDGF signaling pathway
Q Yuan, P Trairatphisan, J Pang, S Mauw, M Wiesinger, T Sauter
Transactions on Computational Systems Biology XIV, 151-180, 2012
A study of the PDGF signaling pathway with PRISM
Q Yuan, J Pang, S Mauw, P Trairatphisan, M Wiesinger, T Sauter
arXiv preprint arXiv:1109.1367, 2011
Quantitative Systems Toxicology Modeling To Address Key Safety Questions in Drug Development: A Focus of the TransQST Consortium
S Ferreira, C Fisher, LI Furlong, L Laplanche, BK Park, C Pin, ...
Chemical research in toxicology 33 (1), 7-9, 2020
Literature and data-driven based inference of signalling interactions using time-course data
E Gjerga, P Trairatphisan, A Gabor, J Saez-Rodriguez
IFAC-PapersOnLine 52 (26), 52-57, 2019
A balancing act: Parameter estimation for biological models with steady-state measurements
A Mizera, J Pang, T Sauter, P Trairatphisan
Proc. 11th Conference on Computational Methods in Systems Biology, ser. LNBI …, 2013
Integration of temporal single cell cellular stress response activity with logic-ODE modeling reveals activation of ATF4-CHOP axis as a critical predictor of drug-induced liver …
LS Wijaya, P Trairatphisan, A Gabor, M Niemeijer, J Keet, AA Morera, ...
Biochemical Pharmacology 190, 114591, 2021
The human hepatocyte TXG-MAPr: WGCNA transcriptomic modules to support mechanism-based risk assessment
G Callegaro, SJ Kunnen, P Trairatphisan, S Grosdidier, M Niemeijer, ...
bioRxiv, 2021
Contextualization of causal regulatory networks from toxicogenomics data applied to drug-induced liver injury
P Trairatphisan, TM de Souza, J Kleinjans, D Jennen, J Saez-Rodriguez
bioRxiv, 2021
Embracing the dark side: computational approaches to unveil the functionality of genes lacking biological annotation in drug-induced liver injury
T Souza, P Trairatphisan, J Piñero, LI Furlong, J Saez-Rodriguez, ...
Frontiers in genetics 9, 527, 2018
Probabilistic Boolean Networks as a tool to study melanoma signaling pathways
S De Landtsheer, P Trairatphisan, T Sauter
Pigment Cell & Melanoma Research 28 (6), 2015
Studying signal transduction networks with a probabilistic Boolean network approach
P Trairatphisan
University of Luxembourg, Luxembourg, Luxembourg, 2015
Mathematical modelling of the Platelet-Derived Growth Factor (PDGF) signalling pathway
A Mizera, J Pang, T Sauter, P Trairatphisan
EPTCS 116, 35, 2013
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