RESUMEN
Despite a low level of overall sequence identity between PPi-dependent and ATP-dependent phosphofructo-1-kinases (PFKs), similarities in active-site residues permit a convincing amino acid alignment of these two groups of kinases. Employing recent protein sequence and site-directed mutagenesis data along with the known three-dimensional coordinates of Escherichia coli ATP-dependent PFK, a model of the active site of PPi-dependent PFK was proposed. In addition to providing compatible placement of residues shown to be important by earlier mutagenesis studies, the model predicted an important role for two arginyl residues that are conserved in all known PPi-PFK sequences. Replacement by site-directed mutagenesis of these two residues with neutral amino acids in the PPi-PFK of Naegleria fowleri resulted in a substantial reduction in kcat while not altering the global structure of the enzyme. While the data indicate many similarities in the active-site structures and mechanisms of ATP-dependent and PPi-dependent PFKs, subtle differences, such as the relative roles of Arg residues in the active sites, have evolved in the development of these two subgroups of the PFK family.
Asunto(s)
Difosfatos/metabolismo , Fosfofructoquinasa-1/genética , Secuencia de Aminoácidos , Sitios de Unión/genética , Escherichia coli , Modelos Moleculares , Datos de Secuencia Molecular , Mutagénesis Sitio-Dirigida , Fosfofructoquinasa-1/metabolismo , Alineación de Secuencia , Especificidad por SustratoRESUMEN
Given the three-dimensional structure of a receptor site, there are several methods available for designing ligands to occupy the site; frequently, the three-dimensional structure of interesting receptors is not known, however. The GERM program uses a genetic algorithm to produce atomic-level models of receptor sites, based on a small set of known structure-activity relationships. The evolved models show a high correlation between calculated intermolecular energies and bioactivities; they also give reasonable predictions of bioactivity for compounds which were not included in model generation. Such models may serve as starting points for computational or human ligand design efforts.
