Chapter title |
Using the QCM Biosensor-Based T7 Phage Display Combined with Bioinformatics Analysis for Target Identification of Bioactive Small Molecule
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Chapter number | 14 |
Book title |
Plant Chemical Genomics
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Published in |
Methods in molecular biology, January 2018
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DOI | 10.1007/978-1-4939-7874-8_14 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7873-1, 978-1-4939-7874-8
|
Authors |
Yoichi Takakusagi, Kaori Takakusagi, Fumio Sugawara, Kengo Sakaguchi, Takakusagi, Yoichi, Takakusagi, Kaori, Sugawara, Fumio, Sakaguchi, Kengo |
Abstract |
Identification of target proteins that directly bind to bioactive small molecule is of great interest in terms of clarifying the mode of action of the small molecule as well as elucidating the biological phenomena at the molecular level. Of the experimental technologies available, T7 phage display allows comprehensive screening of small molecule-recognizing amino acid sequence from the peptide libraries displayed on the T7 phage capsid. Here, we describe the T7 phage display strategy that is combined with quartz-crystal microbalance (QCM) biosensor for affinity selection platform and bioinformatics analysis for small molecule-recognizing short peptides. This method dramatically enhances efficacy and throughput of the screening for small molecule-recognizing amino acid sequences without repeated rounds of selection. Subsequent execution of bioinformatics programs allows combinatorial and comprehensive target protein discovery of small molecules with its binding site, regardless of protein sample insolubility, instability, or inaccessibility of the fixed small molecules to internally located binding site on larger target proteins when conventional proteomics approaches are used. |
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Mendeley readers
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Student > Ph. D. Student | 5 | 28% |
Student > Master | 3 | 17% |
Student > Postgraduate | 2 | 11% |
Researcher | 1 | 6% |
Student > Bachelor | 1 | 6% |
Other | 0 | 0% |
Unknown | 6 | 33% |
Readers by discipline | Count | As % |
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Chemistry | 3 | 17% |
Agricultural and Biological Sciences | 2 | 11% |
Veterinary Science and Veterinary Medicine | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Other | 1 | 6% |
Unknown | 7 | 39% |