Experimental and numerical evaluation of a genetically engineered M13 bacteriophage with high sensitivity and selectivity for 2, 4, 6-trinitrotoluene. Issue 23 (11th April 2019)

• Record Type: Journal Article
• Authors: Kim, Won-Geun; Zueger, Chris; Kim, Chuntae; Wong, Winnie; Devaraj, Vasanthan; Yoo, Hae-Wook; Hwang, Sungu; Oh, Jin-Woo; Lee, Seung-Wuk
• Is Part Of: Organic & biomolecular chemistry. Volume 17:Issue 23(2019)
• Page Start: 5666
• Page End: 5670
• Publication Date: 2019-04-11
• Subjects: Chemistry, Organic -- Periodicals; Bioorganic chemistry -- Periodicals; Chemistry, Physical organic -- Periodicals; 547
• DOI: 10.1039/c8ob03075h
• Languages: English
• ISSNs: 1477-0520

Abstract

Abstract : This study includes the experimental results of a sensitive M13 bacteriophage-based sensor system that are well matched with the quantum mechanics calculation. Abstract : Selective and sensitive detection of desired targets is very critical in sensor design. Here, we report a genetically engineered M13 bacteriophage-based sensor system evaluated by quantum mechanics (QM) calculations. Phage display is a facile way to develop the desired peptide sequences, but the resulting sequences can be imperfect peptides for binding of target molecules. A TNT binding peptide (WHW) carrying phage was self-assembled to fabricate thin films and tested for the sensitive and selective surface plasmon resonance-based detection of TNT molecules at the 500 femtomole level. SPR studies performed with the WHW peptide and control peptides (WAW, WHA, AHW) were well-matched with those of the QM calculations. Our combined method between phage engineering and QM calculation will significantly enhance our ability to design selective and sensitive sensors.