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Automated mass spectrometric sequence determination of cyclic peptide library members.
Redman, James E; Wilcoxen, Keith M; Ghadiri, M Reza.
Afiliación
  • Redman JE; Department of Chemistry, and the Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, California 92037, USA.
J Comb Chem ; 5(1): 33-40, 2003.
Article en En | MEDLINE | ID: mdl-12523832
Cyclic peptides have come under scrutiny as potential antimicrobial therapeutic agents. Combinatorial split-and-pool synthesis of cyclic peptides can afford single compound per well libraries for antimicrobial screening, new lead identification, and construction of quantitative structure-activity relationships (QSAR). Here, we report a new sequencing protocol for rapid identification of the members of a cyclic peptide library based on automated computer analysis of mass spectra, obviating the need for library encoding/decoding strategies. Furthermore, the software readily integrates with common spreadsheet and database packages to facilitate data visualization and archiving. The utility of the new MS-sequencing approach is demonstrated using sonic spray ionization ion trap MS and MS/MS spectrometry on a single compound per bead cyclic peptide library and validated with individually synthesized pure cyclic D,L-alpha-peptides.
Asunto(s)
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Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Péptidos Cíclicos / Biblioteca de Péptidos / Análisis de Secuencia de Proteína Tipo de estudio: Guideline Idioma: En Revista: J Comb Chem Asunto de la revista: QUIMICA Año: 2003 Tipo del documento: Article País de afiliación: Estados Unidos
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Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Péptidos Cíclicos / Biblioteca de Péptidos / Análisis de Secuencia de Proteína Tipo de estudio: Guideline Idioma: En Revista: J Comb Chem Asunto de la revista: QUIMICA Año: 2003 Tipo del documento: Article País de afiliación: Estados Unidos