Computational design of receptor and sensor proteins with novel functions

The formation of complexes between proteins and ligands is fundamental to biological processes at the molecular level. Manipulation of molecular recognition between ligands and proteins is therefore important for basic biological studies and has many biotechnological applications, including the construction of enzymes, biosensors, genetic circuits, signal transduction pathways and chiral separations. The systematic manipulation of binding sites remains a major challenge. Computational design offers enormous generality for engineering protein structure and function. Here we present a structure-based computational method that can drastically redesign protein ligand-binding specificities. This method was used to construct soluble receptors that bind trinitrotoluene, l-lactate or serotonin with high selectivity and affinity. These engineered receptors can function as biosensors for their new ligands; we also incorporated them into synthetic bacterial signal transduction pathways, regulating gene expression in response to extracellular trinitrotoluene or l-lactate. The use of various ligands and proteins shows that a high degree of control over biomolecular recognition has been established computationally. The biological and biosensing activities of the designed receptors illustrate potential applications of computational design.     

Mutations in the active site of Escherichia coli phosphofructokinase

The enzyme-catalysed transfer of a phosphoryl group from ATP is an important reaction in a wide variety of biological processes. We demonstrate here the essential function of an aspartate group in the catalysis of phosphoryl transfer by Escherichia coli phosphofructokinase, and the minor role of an arginine residue. We have used oligonucleotide-directed mutagenesis to replace two amino-acid residues which X-ray analysis has shown to be close to the transferred phosphoryl group and we have analysed the forward and back reactions of the mutant enzymes by steady-state kinetics. Changing Asp 127 to Ser reduced the turnover number by a factor of 18,000 in the forward direction and 3,100 in the back reaction, and the Michaelis constant for fructose 1,6-bisphosphate in the reverse reaction by a factor of 45. This shows that this aspartate is a key residue in the rate enhancement by the enzyme, probably acting as a base in the reaction mechanism, and that it also destabilizes the product complex. Changing Arg 171 to Ser reduced the turnover numbers by about 3.4, showing that this arginine has only a minor effect on the catalysis.