Automated mass spectrometric sequence determination of cyclic peptide library members
被引:53
作者:
Redman, JE
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机构:Scripps Res Inst, Dept Chem, La Jolla, CA 92037 USA
Redman, JE
Wilcoxen, KM
论文数: 0引用数: 0
h-index: 0
机构:Scripps Res Inst, Dept Chem, La Jolla, CA 92037 USA
Wilcoxen, KM
Ghadiri, MR
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机构:
Scripps Res Inst, Dept Chem, La Jolla, CA 92037 USAScripps Res Inst, Dept Chem, La Jolla, CA 92037 USA
Ghadiri, MR
[1
]
机构:
[1] Scripps Res Inst, Dept Chem, La Jolla, CA 92037 USA
[2] Scripps Res Inst, Dept Mol Biol, La Jolla, CA 92037 USA
[3] Scripps Res Inst, Skaggs Inst Chem Biol, La Jolla, CA 92037 USA
来源:
JOURNAL OF COMBINATORIAL CHEMISTRY
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2003年
/
5卷
/
01期
关键词:
D O I:
10.1021/cc0200639
中图分类号:
O69 [应用化学];
学科分类号:
081704 ;
摘要:
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.