Baltzer L, Broo K S, Nilsson H, Nilsson J
Department of Chemistry, Göteborg University, Sweden.
Bioorg Med Chem. 1999 Jan;7(1):83-91. doi: 10.1016/s0968-0896(98)00218-1.
Four-helix bundle proteins have been designed that catalyze the hydrolysis and transesterification reactions of p-nitrophenyl esters by a cooperative nucleophilic and general acid mechanism. The catalysts consist of two 42-residue peptides that fold into helix-loop-helix motifs and dimerise. They have previously been shown to recognize anionic and hydrophobic substrates and to follow saturation kinetics. The catalytic entity is a HisH(+)-His pair in a helical segment spaced i, i+4, which can be supplemented by arginines and lysines in the adjacent helix. The binding residues have now been optimized for the catalysis of mono-p-nitrophenyl fumarate hydrolysis and found to vary with the location of the site. The catalytic efficiency of the HisH(+)-His site in helix II in positions 30 and 34 is enhanced by the introduction of arginine and or lysine residues in positions 11 and 15, but not in 8 and 11 or in 15 and 19. The most efficient catalyst using this site, JNIIR11K15, catalyses the reaction with a second-order rate constant of 0.134 M(-1) s(-1) in aqueous solution at pH 5.1 and 290 K. The second-order rate constant is larger than those of the corresponding sites with 'longer' and 'shorter' binding residues. Similar experiments have shown that the efficiency and selectivity of catalysts based on a HisH(+)-11-His-15 site in helix I are enhanced the most by the introduction of Lys-30 and Arg-34.
已经设计出四螺旋束蛋白,其通过协同亲核和广义酸机制催化对硝基苯酯的水解和酯交换反应。催化剂由两条42个残基的肽组成,这些肽折叠成螺旋-环-螺旋基序并二聚化。先前已证明它们能识别阴离子和疏水底物,并遵循饱和动力学。催化实体是螺旋段中i、i + 4位的HisH(+) - His对,相邻螺旋中的精氨酸和赖氨酸可对其进行补充。现在已经针对富马酸单对硝基苯酯水解的催化作用对结合残基进行了优化,发现其随位点位置而变化。在螺旋II中30位和34位的HisH(+) - His位点的催化效率通过在11位和15位引入精氨酸和/或赖氨酸残基而提高,但在8位和11位或15位和19位引入则没有效果。使用该位点的最有效催化剂JNIIR11K15在pH 5.1和290 K的水溶液中以0.134 M(-1) s(-1)的二级速率常数催化反应。该二级速率常数大于具有“更长”和“更短”结合残基的相应位点的速率常数。类似的实验表明,通过引入Lys - 30和Arg - 34,基于螺旋I中HisH(+) - 11 - His - 15位点的催化剂的效率和选择性提高最为显著。