Lars Malmström

Affiliations: 
2006-2009 Medicinal; Chemistry University of Washington School of Pharmacy 
Google:
"Lars Malmström"
Mean distance: (not calculated yet)
 
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Röst HL, Rosenberger G, Navarro P, et al. (2020) Publisher Correction: OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data. Nature Biotechnology
Chowdhury S, Happonen L, Khakzad H, et al. (2020) Structural proteomics, electron cryo-microscopy and structural modeling approaches in bacteria-human protein interactions. Medical Microbiology and Immunology
Happonen L, Hauri S, Svensson Birkedal G, et al. (2019) A quantitative Streptococcus pyogenes-human protein-protein interaction map reveals localization of opsonizing antibodies. Nature Communications. 10: 2727
Khakzad H, Malmström J, Malmström L. (2019) Greedy de novo motif discovery to construct motif repositories for bacterial proteomes. Bmc Bioinformatics. 20: 141
Hauri S, Khakzad H, Happonen L, et al. (2019) Rapid determination of quaternary protein structures in complex biological samples. Nature Communications. 10: 192
Åhrman E, Hallgren O, Malmström L, et al. (2018) Quantitative proteomic characterization of the lung extracellular matrix in chronic obstructive pulmonary disease and idiopathic pulmonary fibrosis. Journal of Proteomics
Rosenberger G, Liu Y, Röst HL, et al. (2017) Inference and quantification of peptidoforms in large sample cohorts by SWATH-MS. Nature Biotechnology
Sjöholm K, Kilsgård O, Teleman J, et al. (2017) Targeted Proteomics and Absolute Protein Quantification for the Construction of a Stoichiometric Host-Pathogen Surface Density Model. Molecular & Cellular Proteomics : McP. 16: S29-S41
Röst HL, Sachsenberg T, Aiche S, et al. (2016) OpenMS: a flexible open-source software platform for mass spectrometry data analysis. Nature Methods. 13: 741-748
Röst HL, Liu Y, D'Agostino G, et al. (2016) TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics. Nature Methods
See more...