
Methods in Proteome and Protein Analysis (eBook, PDF)
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Following the succesful publication of "Proteome and Protein Analysis" in 2000, which was based on a former MPSA (Methods in Protein Structure Analysis) conference, Methods in Proteome and Protein Analysis presents the most interesting papers from the 14th MPSA meeting.Major topics include: protein and peptide sample preparation and separation; new reagent for protein sequence analysis; mass spectrometry in protein research; analysis of posttranslational modification; protein-protein interaction using MALDI-MS; manipulation of genome or functional compositon trap; structure-function correlatio...
Following the succesful publication of "Proteome and Protein Analysis" in 2000, which was based on a former MPSA (Methods in Protein Structure Analysis) conference, Methods in Proteome and Protein Analysis presents the most interesting papers from the 14th MPSA meeting.
Major topics include: protein and peptide sample preparation and separation; new reagent for protein sequence analysis; mass spectrometry in protein research; analysis of posttranslational modification; protein-protein interaction using MALDI-MS; manipulation of genome or functional compositon trap; structure-function correlation study using optical biosensors of microcolorimetrical techniques; structural proteomics as NMR or fluorescence polarization study; the classification and prediction of structure or functional sites; in silico analysis of proteins and proteomes; increasing throughput and data quality for proteomics.
Major topics include: protein and peptide sample preparation and separation; new reagent for protein sequence analysis; mass spectrometry in protein research; analysis of posttranslational modification; protein-protein interaction using MALDI-MS; manipulation of genome or functional compositon trap; structure-function correlation study using optical biosensors of microcolorimetrical techniques; structural proteomics as NMR or fluorescence polarization study; the classification and prediction of structure or functional sites; in silico analysis of proteins and proteomes; increasing throughput and data quality for proteomics.
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