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AnchorMS: a bioinformatics tool to derive structural information from the mass spectra of cross-linked protein complexes.
Mayne, Shannon L N; Patterton, Hugh-G.
Afiliação
  • Mayne SL; Advanced Biomolecular Research Cluster, University of the Free State, P.O. Box 339, Bloemfontein 9300, South Africa.
Bioinformatics ; 30(1): 125-6, 2014 Jan 01.
Article em En | MEDLINE | ID: mdl-24177721
SUMMARY: Mass spectrometry is being increasingly used in the structural elucidation of mega-Dalton protein complexes in an approach termed MS3D, referring to the application of MS to the study of macromolecular structures. This involves the identification of cross-linked residues in the constituent proteins of chemically cross-linked multi-subunit complexes. AnchorMS was developed to simplify MS3D studies by identifying cross-linked peptides in complex peptide mixtures, and to determine the specific residues involved in each cross-link. When identifying cross-linked peptide pairs (CLPP), AnchorMS implements a mathematical model to exclude false positives by using a dynamic score threshold to estimate the number of false-positive peak matches expected in an MS/MS spectrum. This model was derived from CLPPs with randomly generated sequences. AnchorMS does not require specific sample labeling or pre-treatment, and AnchorMS is especially suited for discriminating between CLPPs that differ only in the cross-linked residue pairs. AVAILABILITY: AnchorMS was coded in Python, and is available as a free web service at cbio.ufs.ac.za/AnchorMS.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Espectrometria de Massas / Proteínas / Biologia Computacional Idioma: En Ano de publicação: 2014 Tipo de documento: Article País de afiliação: África do Sul

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Espectrometria de Massas / Proteínas / Biologia Computacional Idioma: En Ano de publicação: 2014 Tipo de documento: Article País de afiliação: África do Sul