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Fragmentor is a mass spectrometry tool used to predict the masses of protein and peptide fragments. The main purpose of the program is to generate a list of fragments that could be produced in a CID or PD/CID experiment given the starting sequence and the modifications made to the amino acids in the sequence. This program attempts to account for radical processes in peptide fragmentation such as side chain loss. This is useful in interpreting mass spectra where radicals are known to be formed.
Fragmentor is a mass spectrometry tool used to predict the masses of protein and peptide fragments. The main purpose of the program is to generate a list of fragments that could be produced in a CID or PD/CID experiment given the starting sequence and the modifications made to the amino acids in the sequence. This program attempts to account for radical processes in peptide fragmentation such as side chain loss. This is useful in interpreting mass spectra where radicals are known to be formed.
Fragmentor was created by Ben Moore for the Julian Group at the University of California Riverside in 2008. If there are bugs or mistakes in the program please send an email to bmoor003@ucr.edu so that they can be corrected
Fragmentor was created by Ben Moore for the Julian Group at the University of California Riverside in 2008. If there are bugs or mistakes in the program please send an email to bmoor003@ucr.edu so that they can be corrected
Use this program at your own risk. No warranty, explicit or implied, is made regarding the accuracy or completeness of the program.
Use this program at your own risk. No warranty, explicit or implied, is made regarding the accuracy or completeness of the program.
This material is based upon work supported by the National Science Foundation under Award CHE-0747481. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF)
This material is based upon work supported by the National Science Foundation under Award CHE-0747481. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF)
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