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Protein Engineering, Vol. 13, No. 4, 275-281, April 2000
© 2000 Oxford University Press

On the possibilities and limitations of rational protein design to expand the specificity of restriction enzymes: a case study employing EcoRV as the target

Thomas Lanio, Albert Jeltsch and Alfred Pingoud1

Institut für Biochemie, FB 08, Justus-Liebig-Universität, Heinrich-Buff-Ring 58, D-35392 Giessen, Germany.

The restriction endonuclease EcoRV has been characterized in structural and functional terms in great detail. Based on this detailed information we employed a structure-guided approach to engineer variants of EcoRV that should be able to discriminate between differently flanked EcoRV recognition sites. In crystal structures of EcoRV complexed with d(CGGGATATCCC)2 and d(AAAGATATCTT)2, Lys104 and Ala181 closely approach the two base pairs flanking the GATATC recognition site and thus were proposed to be a reasonable starting point for the rational extension of site specificity in EcoRV [Horton,N.C. and Perona,J.J. (1998) J. Biol. Chem., 273, 21721–21729]. To test this proposal, several single (K104R, A181E, A181K) and double mutants of EcoRV (K104R/A181E, K104R/A181K) were generated. A detailed characterization of all variants examined shows that only the substitution of Ala181 by Glu leads to a considerably altered selectivity with both oligodeoxynucleotide and macromolecular DNA substrates, but not the predicted one, as these variants prefer cleavage of a TA flanked site over all other sites, under all conditions tested. The substitution of Lys104 by Arg, in contrast, which appeared to be very promising on the basis of the crystallographic analysis, does not lead to variants which differ very much from the EcoRV wild-type enzyme with respect to the flanking sequence preferences. The K104R/A181E and K104R/A181K double mutants show nearly the same preferences as the A181E and A181K single mutants. We conclude that even for the very well characterized restriction enzyme EcoRV, properties that determine specificity and selectivity are difficult to model on the basis of the available structural information.


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