His main research concerns Proteome, Proteomics, Computational biology, Systems biology and Cell biology. His biological study spans a wide range of topics, including Gene expression and Quantitative proteomics. He usually deals with Proteomics and limits it to topics linked to Chromatography and Labelling and Two-dimensional gel electrophoresis.
His research in Computational biology tackles topics such as Saccharomyces cerevisiae which are related to areas like Lysine and Transfer RNA. The Systems biology study combines topics in areas such as Multiprotein complex, Genome, Mitosis, Bacterial protein and Function. His work on Phosphorylation as part of general Cell biology study is frequently linked to Cellular homeostasis, therefore connecting diverse disciplines of science.
His primary areas of study are Proteomics, Proteome, Cell biology, Computational biology and Mass spectrometry. Alexander Schmidt interconnects Cell, Molecular biology, Metabolomics and Flux in the investigation of issues within Proteomics. The various areas that Alexander Schmidt examines in his Proteome study include Protein purification, Systems biology and Gene expression profiling.
The concepts of his Cell biology study are interwoven with issues in Biogenesis, Drosophila Protein and Protein biosynthesis. His Computational biology study combines topics from a wide range of disciplines, such as Genetics, Function, Proteomics methods and Bioinformatics. His Mass spectrometry research entails a greater understanding of Chromatography.
Cell biology, Protein biosynthesis, Ribosome, Computational biology and Proteomics are his primary areas of study. His studies in Cell biology integrate themes in fields like PLK4, Centrosome and Ubiquitin ligase, Cullin. His research investigates the connection between Protein biosynthesis and topics such as Saccharomyces cerevisiae that intersect with issues in In vivo, Plasma protein binding, Ligand binding assay and Dissociation constant.
His research investigates the connection with Ribosome and areas like Transfer RNA which intersect with concerns in ORFS, Eukaryotic translation and Open reading frame. His Computational biology research focuses on Yeast and how it relates to Flow cytometry, Transcription factor and Protein design. Alexander Schmidt has included themes like Translational regulation, Downregulation and upregulation, Codon usage bias and Cell growth in his Proteomics study.
The scientist’s investigation covers issues in Cell biology, Protein biosynthesis, Saccharomyces cerevisiae, Ribosome and Ribosomal protein. His research on Cell biology focuses in particular on Cell signaling. Alexander Schmidt has researched Saccharomyces cerevisiae in several fields, including Cell division, Single-cell analysis, Kinase activity, Cell cycle and Eukaryote.
The concepts of his Ribosome study are interwoven with issues in ORFS, Open reading frame, Transfer RNA and Eukaryotic translation. His research integrates issues of Promoter, TAF4, Large ribosomal subunit and Repressor in his study of Ribosomal protein.
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The quantitative proteome of a human cell line
Martin Beck;Alexander Schmidt;Johan Malmstroem;Manfred Claassen.
Molecular Systems Biology (2011)
SuperHirn - a novel tool for high resolution LC-MS-based peptide/protein profiling.
Lukas N. Mueller;Oliver Rinner;Alexander Schmidt;Simon Letarte.
A novel strategy for quantitative proteomics using isotope‐coded protein labels
Alexander Schmidt;Josef Kellermann;Friedrich Lottspeich.
Proteome Organization in a Genome-Reduced Bacterium
Sebastian Kühner;Vera van Noort;Matthew J. Betts;Alejandra Leo-Macias.
The quantitative and condition-dependent Escherichia coli proteome.
Alexander Schmidt;Karl Kochanowski;Silke Vedelaar;Erik Ahrné.
Nature Biotechnology (2016)
Proteome-wide cellular protein concentrations of the human pathogen Leptospira interrogans
Johan Malmström;Martin Beck;Alexander Schmidt;Vinzenz Lange.
Identification of cross-linked peptides from large sequence databases
Oliver Rinner;Jan Seebacher;Thomas Walzthoeni;Thomas Walzthoeni;Lukas N Mueller.
Nature Methods (2008)
Protein Identification False Discovery Rates for Very Large Proteomics Data Sets Generated by Tandem Mass Spectrometry
Lukas Reiter;Manfred Claassen;Sabine P. Schrimpf;Marko Jovanovic.
Molecular & Cellular Proteomics (2009)
Large-Scale Quantitative Assessment of Different In-Solution Protein Digestion Protocols Reveals Superior Cleavage Efficiency of Tandem Lys-C/Trypsin Proteolysis over Trypsin Digestion
Timo Glatter;Christina Ludwig;Erik Ahrné;Ruedi Aebersold.
Journal of Proteome Research (2012)
A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis
Paola Picotti;Mathieu Clément-Ziza;Hugo Y K Lam;David S Campbell.
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