Gábor Náray-szabó

The aspartic residue (Asp-189) at the base of the substrate-binding pocket of trypsin was replaced by serine (present in a similar position in chymotrypsin) through site-directed mutagenesis. The wild-type (with Asp-189 in the mature trypsin sequence) and mutant (Ser-189) trypsinogens were expressed in Escherichia coli, purified to homogeneity, activated by enterokinase, and tested with a series of fluorogenic tetrapeptide substrates

Coat proteins (CP) of five cucumovirus isolates, Cucumber mosaic virus (CMV) strains R, M and Trk7, Tomato aspermy virus (TAV) strain P and Peanut stunt virus (PSV) strain Er, were constructed by homology modelling. The X-ray structure of the Fny-CMV CP subunit B was used as a template. Models of cucumovirus CPs were built by the MODELLER program. Model refinements

The crystal structure of S189D rat chymotrypsin have been determined (resolution 2.55Å) and compared, together with D189S rat trypsin to wild-type structures to examine why these single mutations resulted in poorly active, non-specific enzymes instead of converting the specificities of trypsin and chymotrypsin into each other. Both mutants have stable structure but suffer from a surprisingly large number of serious

The aspartic residue (Asp-189) at the base of the substrate-binding pocket of trypsin was replaced by serine (present in a similar position in chymotrypsin) through site-directed mutagenesis. The wild-type (with Asp-189 in the mature trypsin sequence) and mutant (Ser-189) trypsinogens were expressed in Escherichia coli, purified to homogeneity, activated by enterokinase, and tested with a series of fluorogenic tetrapeptide substrates

Methodology and application of artificial neural networks in structure-activity relationships are reviewed focusing on the most frequently used three-layer feedforward back-propagation procedure. Two applications of neural networks are presented and a comparison of the performance with those of CoMFA and a classical QSAR analysis is also discussed.

Crystal structure of the ternary complex of pig muscle phosphoglycerate kinase (PGK) with the substrate 3-phosphoglycerate (3-PG) and the Mg(2+) complex of beta,gamma-methylene-adenosine-5'-triphosphate (AMP-PCP), a nonreactive analogue of the nucleotide substrate, MgATP, has been determined by X-ray diffraction at 2.5 A resolution. The overall structure of the protein exhibits an open conformation, similar to that of the previously determined ternary complex of the pig muscle enzyme with beta,gamma-imido-adenosine-5'-triphosphate (AMP-PNP) in place of AMP-PCP (May, Vas, Harlos, and Blake (1996) Proteins 24, 292-303). The orientation and details of interactions of the nucleotide phosphates, however, show marked differences. The beta-phosphate is linked to the conserved Asp 218, i.e., to the N-terminus of helix 8, through the Mg(2+) ion; the previously observed interactions of the metal complex of AMP-PNP or ADP with the conserved Asn 336 and the N-terminus of helix 13 are completely absent. These structural differences are maintained themselves in solution studies. Inhibition and binding experiments show a slightly weaker interaction of PGK with MgAMP-PCP than with MgAMP-PNP: at pH 7.5, the K(d) values are 1.07 +/- 0.18 and 0.41 +/- 0.08 mM, respectively. The difference is further enhanced by 3-PG: the K(d) values are 2.80 +/- 0.66 and 0.68 +/- 0.11 mM, respectively. Thus, the previously observed weakening effect of 3-PG on nucleotide binding (Merli, Szilágyi, Flachner, Rossi, and Vas (2002) Biochemistry 41, 111-119) is more pronounced with MgAMP-PCP. The discordance between substrate analogues also shows up in thiol reactivity studies. In their binary complexes, both ATP analogues protect the fast-reacting thiols of PGK in helix 13 against modification to similar extent. In their ternary complexes, however, which also contain bound 3-PG, the protective effect of MgAMP-PCP, but not of MgAMP-PNP, is largely abolished. This indicates a much smaller effect of MgAMP-PCP on the conformation of helix 13, which is in good correlation with its altered mode of phosphate binding and the ensuing increase in the flexibility of helix 13, as shown by elevated crystallographic B-factors. The possible existence of alternative site(s) for binding of the nucleotide phosphates may have functional relevance.

Most enzyme reactions involve formation and cleavage of covalent bonds, while electrostatic effects, as well as dynamics of the active site and surrounding protein regions, may also be crucial. Accordingly, special computational methods are needed to provide an adequate description, which combine quantum mechanics for the reactive region with molecular mechanics and molecular dynamics describing the environment and dynamic effects, respectively. In this review we intend to give an overview to non-specialists on various enzyme models as well as established computational methods and describe applications to some specific cases. For the treatment of various enzyme mechanisms, special approaches are often needed to obtain results, which adequately refer to experimental data. As a result of the spectacular progress in the last two decades, most enzyme reactions can be quite precisely treated by various computational methods.