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To allow data-driven development of algorithms for small molecule identification, mass spectrometric reference datasets must be made publicly available via reference databases.
The better annotation of these proteomes benefits greatly from mass spectrometric reference maps.
Here, we describe the recent advances in the generation of mass spectrometric reference maps and their applications.
Co, W, and MDA in EBC were analyzed with analytical methods based on mass spectrometric reference techniques.
With the above-mentioned mass spectrometric reference maps established, researchers can directly perform targeted navigation of a priori selected clinically relevant proteins by SRM.
These SWATH maps can be annotated by the above-mentioned mass spectrometric reference maps to achieve the global characterization of the disease proteome.
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The reference mass spectrometric maps provide benchmarks for proteome identification and quantification by any MS strategy.
More reference mass spectrometric maps will be established with respect to particular scientific interests, including completed maps at species level (e.g., human species, animal models like mouse, important pathogens and viruses) and high-resolution maps for specific functionally related subproteomes (protein complexes, transcription factor class, kinases and substrates).
The reference database used for mass spectrometric identification of candidate ligands was MSDB (Mass Spectrometry protein sequence DataBase, www.matrixscience.com), searching for human entries only.
The structures were elucidated by infrared (IR), mass spectrometric (MS), 1D- and 2D-NMR analyses in comparison with reference data.
The mass spectrometric detection was carried out using an electrospray ionization source in positive mode.
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