Literature DB >> 8814298

Assignment of protein disulphides by a computer method using mass spectrometric data.

C Caporale1, C Sepe, C Caruso, P Pucci, V Buonocore.   

Abstract

We designed a computer program for the assignment of protein disulphides using mass spectrometric data. All the theoretical linear peptides containing from one to three cysteines are generated on the basis of the protein sequence. Their combination ways are determined in order to create all the possible disulphide-bridged fragments containing from two to six cysteines and to calculate their molecular weight. One, two and three S-S bridges per linked fragment were considered, taking into account the possibility that the fragments contain unabridged residues. The mass data obtained from the spectral analysis of peptide mixtures of the digested protein are then associated to the fitting structures of disulphide-bridged peptides, giving rise to the primary output. This output can then be screened by using information on the specificity of the proteolytic agent(s) used and/or any further mass data provided by Edman degradation and/or carboxypeptidase treatment of the peptide mixtures. The need for such a computer aid is discussed and examples of application are given.

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Year:  1996        PMID: 8814298     DOI: 10.1016/0014-5793(96)00894-0

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  3 in total

1.  Disulphide-bond pattern and molecular modelling of the dimeric disintegrin EMF-10, a potent and selective integrin alpha5beta1 antagonist from Eristocophis macmahoni venom.

Authors:  J J Calvete; M Jürgens; C Marcinkiewicz; A Romero; M Schrader; S Niewiarowski
Journal:  Biochem J       Date:  2000-02-01       Impact factor: 3.857

2.  Comprehensive identification of protein disulfide bonds with pepsin/trypsin digestion, Orbitrap HCD and Spectrum Identification Machine.

Authors:  Chuanlong Cui; Tong Liu; Tong Chen; Johanna Lu; Ian Casaren; Diogo Borges Lima; Paulo Costa Carvalho; Annie Beuve; Hong Li
Journal:  J Proteomics       Date:  2018-12-14       Impact factor: 4.044

3.  Identification and characterization of disulfide bonds in proteins and peptides from tandem MS data by use of the MassMatrix MS/MS search engine.

Authors:  Hua Xu; Liwen Zhang; Michael A Freitas
Journal:  J Proteome Res       Date:  2007-12-12       Impact factor: 4.466

  3 in total

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