Protein sequencing
The Dictionary of Genomics, Transcriptomics and Proteomics · 2015
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About 10,000 papers for “Protein sequencing”
The Dictionary of Genomics, Transcriptomics and Proteomics · 2015
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National Cancer Institute · Definitions · 2020
Ope n Pe e r Re v ie w on Qe ios
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PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO. eBooks · 2004
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2021
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2024
Citation: 'protein sequencing' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.11547 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms. Requests for commercial usage of the compendium should be directed to IUPAC.
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Engelbert Buxbaum · 2007
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Luo, Chen · Figshare · 2023
Reg3A protein sequence on NCBI
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The Dictionary of Genomics, Transcriptomics and Proteomics · 2015
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Smith, Bryan John · Humana Press eBooks · 2003
Determination of the protein sequence is as important today as it was a half century ago, even though the techniques and purposes have changed over time. Mass spectrometry has continued its recent rap
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Jason M. Shapiro (3324918), Waihong Chung (2557063), Kosuke Ogawa (3324921) et al. · Figshare · 2016
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Jean‐Loup Faulon, Grant S. Heffelfinger · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2009
A novel experimental and computational technique based on multiple enzymatic digestion of a protein or protein mixture that reconstructs protein sequences from sequences of overlapping peptides is described in this SAND report. This approach, analogous to shotgun sequencing of DNA, is to be used to sequence alternative spliced proteins, to identify post-translational modifications, and to sequence genetically engineered proteins.
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Kenneth A. Walsh · Medical Entomology and Zoology · 1997
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Luo, Chen · Figshare · 2023
Reg3A protein sequence on NCBI
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Brian T. Chait, Rong Wang, Ronald C. Beavis et al. · Science · 1993
A new approach to protein sequencing is described. It consists of two steps: (i) ladder-generating chemistry, the controlled generation from a polypeptide chain by wet chemistry of a family of sequence-defining peptide fragments, each differing from the next by one amino acid; and (ii) data readout, a one-step readout of the resulting protein sequencing ladder by matrix-assisted laser-desorption mass spectrometry. Each amino acid was identified from the mass difference between successive peaks, and the position in the data set defined the sequence of the original peptide chain. This method was used to directly locate a phosphoserine residue in a phosphopeptide. The protein ladder sequencing method lends itself to very high sample throughput at very low per cycle cost.
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Nuno Bandeira, Karl R. Clauser, Pavel A. Pevzner · Molecular & Cellular Proteomics · 2007
Despite significant advances in the identification of known proteins, the analysis of unknown proteins by MS/MS still remains a challenging open problem. Although Klaus Biemann recognized the potential of MS/MS for sequencing of unknown proteins in the 1980s, low throughput Edman degradation followed by cloning still remains the main method to sequence unknown proteins. The automated interpretation of MS/MS spectra has been limited by a focus on individual spectra and has not capitalized on the information contained in spectra of overlapping peptides. Indeed the powerful shotgun DNA sequencing strategies have not been extended to automated protein sequencing. We demonstrate, for the first time, the feasibility of automated shotgun protein sequencing of protein mixtures by utilizing MS/MS spectra of overlapping and possibly modified peptides generated via multiple proteases of different specificities. We validate this approach by generating highly accurate de novo reconstructions of multiple regions of various proteins in western diamondback rattlesnake venom. We further argue that shotgun protein sequencing has the potential to overcome the limitations of current protein sequencing approaches and thus catalyze the otherwise impractical applications of proteomics methodologies in studies of unknown proteins.
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B. Nagel, H. Dellweg, L. M. Gierasch · IUPAC Standards Online · 2016
The glossary contains definitions and explanatory notes, if needed, of over 230 terms frequently used in publications in the multidisciplinary field of biotechnology. The glossary was developed as a step to help facilitate communication between chemists, chemical engineers, biologists and bioengineers and to make biotechnology and its methodologies more accessible to the chemical profession. The interrelation between chemistry, chemical engineering and the burgeoning areas of molecular biology will be especially important as chemical industrial processes begin to incorporate recombinant DNA techniques, for example. The range of terms includes microbiology, genetic engineering, biochemistry, molecular biology, biochemical engineering, bioprocessing and general concepts of biotechnology.
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Victoria Pham (1626811), Jake Tropea (2943009), Suzy Wong (2943006) et al. · Figshare · 2016
We have designed and implemented an autosampler that\nprovides additional sample capacity on a commercial\nprotein sequencer. The autosampler attaches to a standard ABI Procise sequencer, enabling a single-sample\ncartridge to hold up to six separate samples. The autosampler is used in combination with faster Edman\ncycles and a rapid 12-min PTH separation to significantly\nincrease the speed of automated protein sequencing. We\nalso describe Edman chemistry modifications that improve coupling efficiency and prevent internal cleavage\nthat can occur when samples are sequenced in the\nstandard glass cartridges.
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Joo, C., Dekker, C., Van Ginkel, H.G.T.M. et al. · Data Archiving and Networked Services (DANS) · 2014
The invention provides a device for determining the type of protein in a liquid, the device comprising (a) an immobilized ATP dependent protease based molecular transporter machine configured to guide a protein that is functionalized with labels through a detection area of a detector, (b) said detector, configured to detect a signal as function of the labels of the labelled amino acids, (c) a processor unit, configured to identify from the detector signal a sequence of amino acids of the functionalized protein, wherein the processor unit is further configured to compare the identified sequence of amino acids with the occurrence of such sequence in a database of proteins and to identify the type of protein.
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Yan, Peng · 4TU.ResearchData · 2024
Protein sequencing raw data
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Nature Methods · 2013
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