2006年9月
Screening of peptides that inhibit bacterial binding to fibronectin using combinatorial peptide libraries
INTERNATIONAL JOURNAL OF PEPTIDE RESEARCH AND THERAPEUTICS
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- ,
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- 巻
- 12
- 号
- 3
- 開始ページ
- 275
- 終了ページ
- 281
- 記述言語
- 英語
- 掲載種別
- DOI
- 10.1007/s10989-006-9030-7
- 出版者・発行元
- SPRINGER
Infective endocarditis is often caused by passage of oral endogenous bacteria into the blood stream. Such bacteremia occurs after tooth extraction, and Occasionally even after brushing of the teeth. Abnormal or damaged heart valves, including artificial valves, show high risk of infection. Antibiotics are widely used to prevent this infection, however, frequent use of these have resulted in the generation of resistant mutants, which generate serious social problems. Thus, the development of more effective and safer drugs for the prevention Of Such infections is very desirable. The adhesion of bacteria to fibronectin, one of the major extracellular matrix (ECM) protein exposed on the wound endocardia, is considered critical for the infection. We have previously found a novel mode of interaction between endocarditis-causing bacteria and human fibronectin. The present Study focuses on the discovery of candidate compounds that inhibit the association between microorganisms and fibronectin. Positional scanning libraries (PSL) with N-terminal biotinylated 6-mer peptides have been constructed and screened for binding to a monoclonal antibody for fibronectin that inhibits the bacterial fibronectin-binding. The Consensus sequences derived from these experiments are expected to be structural mimetics of the local structure of fibronectin involved in the bacterial adhesion. Since individual synthetic 6-mer peptides did not show the desired action, discontinuous epitopes can be envisaged and therefore,I 9-mer-PSL was constructed to reveal conformational epitopes. In the second library, several 9-mer peptides based on the screening were synthesized and gave improved results.
- リンク情報
- ID情報
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- DOI : 10.1007/s10989-006-9030-7
- ISSN : 1573-3149
- Web of Science ID : WOS:000239330500012