Selected publications from André Mateus prior to his affiliation with Umeå University.
*Shared first author; #Shared corresponding author

2022

Mateus A*, Kurzawa N*, et al. Drug Target Identification in Tissues by Thermal Proteome Profiling. Annu Rev Pharmacol Toxicol 2022, 62, DOI:10.1146/annurev-pharmtox-052120-013205 [Link]

2021

Klünemann M*, Andrejev S*, Blasche S*, Mateus A* et al. Bioaccumulation of therapeutic drugs by human gut bacteria. Nature 2021, 597(7877):533 [Link]
Mateus A, et al. Transcriptional and post-transcriptional polar effects in bacterial gene deletion libraries. mSystems 2021, 6(5):e00813 [Link]
Selkrig J*, Stanifer M*, Mateus A*, Mitosch K*, Barrio-Hernandez I*, Rettel M*, et al. SARS-CoV-2 infection remodels the host protein thermal stability landscape. Mol Syst Biol 2021, 17(2):e10188 [Link]
Potel CM, Kurzawa N, Becher I, Typas A, Mateus A#, Savitski MM#. Impact of phosphorylation on thermal stability of proteins. Nat Methods 2021, 18(7):757 [Link]
Mateus A, et al. The rise of proteome-wide biophysics. Mol Syst Biol 2021, 17(7):e10442 [Link]

2020

Mateus A, et al. The functional proteome landscape of Escherichia coli. Nature 2020, 588(7838):473 [Link]
Kurzawa N#, Mateus A#, Savitski MM#. Rtpca: an R package for differential thermal proximity coaggregation analysis. Bioinformatics 2020, DOI: 10.1093/bioinformatics/btaa682 [Link]
Mateus A*, Kurzawa N*, et al. Thermal proteome profiling for interrogating protein interactions. Mol Syst Biol 2020, 16(3):e9232 [Link]

2018

Mateus A, et al. Thermal proteome profiling in bacteria: probing protein state in vivo. Mol Syst Biol 2018, 14(7):e8242 [Link]

Before 2017

Mateus A, Määttä T, Savitski MM. Thermal proteome profiling: unbiased assessment of protein state through heat-induced stability changes. Proteome Sci 2017, 15(1):13 [Link]
Mateus A, et al Prediction of intracellular exposure bridges the gap between target-and cell-based drug discovery. PNAS 2017, 114(30):E6231 [Link]
Mateus A*, Treyer A*, et al. Intracellular drug bioavailability: a new predictor of system dependent drug disposition. Sci Rep 2017, 7:43047 [Link]
Mateus A, et al. A high-throughput cell-based method to predict the unbound drug fraction in the brain. J Med Chem 2014, 57(7):3005 [Link]
Mateus A, et al Rapid measurement of intracellular unbound drug concentrations. Mol Pharmaceutics 2013, 10(6):2467 [Link]

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