Imprinted proteins (IPs) are promising materials for producing artificial alternatives to natural recognition systems (antibodies, aptamers, etc.) due to their high sorption properties and specificity. However, contemporary understanding of the imprinting process at the atomic level is rather limited, which hinders the rational design of more efficient IPs. In this paper, we use computational modeling to provide a description of fundamental principles of protein imprinting at the atomic level. We have modeled several potential associates between the protein matrix and template molecules that form during the imprinting process up to the addition of the cross-linking agent. We used bovine serum albumin (BSA) as the protein matrix and 4-hydroxycoumarin (4–HC) as a molecular template. In combination with computational modeling, extensive experimental analyses including isothermal titration calorimetry (ITC) and NMR spectroscopic methods (1H NMR and diffusion-ordered NMR spectroscopy (DOSY)) were used to evaluate the potential efficiency of imprinted BSA. This study represents a step toward the future rational in silico design of IPs.
Ilicheva et al. (Sat,) studied this question.