A rapid and cost-effective computational methodology for designing and rationalizing the canon imageclass mf227dw selection of small peptides as receptors for dioxin-like compounds was proposed.The backbone of the dioxin Ah receptor binding site was used to design a series of penta- and hexapeptide libraries, with 1400 elements in total.Peptide flexibility was considered and 10 conformers were found to be a good option to represent peptide conformational space with fair speed-accuracy ratio.Each peptide conformer was treated as a possible receptor, generating a dedicated box and then running a docking process using as ligands a family of 76 dibenzo-p-dioxins and 113 dibenzofurans mono- and polychlorinated.Significant predictions were confirmed by comparing primary structure of 3m speedglas 9002nc top and bottom ranked peptides binding dioxins confirming that scrambled positions of the same amino acids gave completely different predicted binding.
The hexapeptide EWFQPW, with the best binding score, was chosen as selective sorbent material in solid-phase extraction.The retention performances were tested using the 2,3,7,8-tetrachlorodibenzo-p-dioxin and two polychlorinated biphenyls in order to verify the hexapeptide specificity.The solid-phase extraction experimental procedure was optimized, and analytical parameters of hexapeptide sorbent material were compared with the resin without hexapeptide and a commercial reversed phase cartridge.