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Mascot is a software search engine that uses mass spectrometry data to identify proteins from peptide sequence databases. [ 1 ] [ 2 ] Mascot is widely used by research facilities around the world. Mascot uses a probabilistic scoring algorithm for protein identification that was adapted from the MOWSE algorithm.
A high-throughput lipid identification software from shotgun mass spectra written in Python. [55] Mass++ Open source: Analysis software for mass spectrometry can import and export files with open-formats (mzXML, mzML) and load some instrument vendor formats; users can develop and add original functions as Mass++ plug-ins. MassBank Open source
The mass spectrum serves as a fingerprint in the sense that it is a pattern that can serve to identify the protein. [1] The method for forming a peptide-mass fingerprint, developed in 1993, consists of isolating a protein, breaking it down into individual peptides, and determining the masses of the peptides through some form of mass ...
The MOWSE algorithm was developed by Darryl Pappin at the Imperial Cancer Research Fund and Alan Bleasby at the SERC Daresbury Laboratory. [2] The probability-based MOWSE score formed the basis of development of Mascot, a proprietary software for protein identification from mass spectrometry data.
This list of protein subcellular localisation prediction tools includes software, databases, and web services that are used for protein subcellular localization prediction. Some tools are included that are commonly used to infer location through predicted structural properties, such as signal peptide or transmembrane helices , and these tools ...
It contains de novo sequencing, database search, PTM identification, homology search and quantification in data analysis. Ma et al. described a new model and algorithm for de novo sequencing in PEAKS, and compared the performance with Lutefisk of several tryptic peptides of standard proteins, by the quadrupole time-of-flight (Q-TOF) mass ...
A peptide spectral library is a curated, annotated and non-redundant collection/database of LC-MS/MS peptide spectra. One essential utility of a peptide spectral library is to serve as consensus templates supporting the identification of peptides and proteins based on the correlation between the templates with experimental spectra.
Constituent amino-acids can be analyzed to predict secondary, tertiary and quaternary protein structure. This list of protein structure prediction software summarizes notable used software tools in protein structure prediction, including homology modeling, protein threading, ab initio methods, secondary structure prediction, and transmembrane helix and signal peptide prediction.