Biomedical subjects

Lucia Gardossi

Publications and source records attributed to Lucia Gardossi.

4 recordsLinked to original sources

PubMed2003

A homology model of penicillin acylase from Alcaligenes faecalis and in silico evaluation of its selectivity.

A three-dimensional model of the relatively unknown penicillin acylase from Alcaligenes faecalis (PA-AF) was built up by means of homology modeling based on three different crystal structures of penicillin acylase from various sources. An in silico selectivity study was performed to compare this homology model to the structure of the Escherichia coli enzyme (PA-EC) in order to find any selectivity differences between the two enzymes. The program GRID was applied in combination with the principal component analysis technique to identify the regions of the active sites where the PAs potentially engage different interactions with ligands. These differences were further analyzed and confirmed by molecular docking simulations. The PA-AF homology model provided the structural basis for the explanation of the different enantioselectivities of the enzymes previously demonstrated experimentally and reported in the literature. Different substrate selectivities were also predicted for PA-AF compared to PA-EC. Since no crystallographic data are available for PA-AF to date, the three-dimensional homology model represents a useful and efficient tool for fully exploiting this attractive and efficient biocatalyst, particularly in enantioselective acylations of amines.

Alcaligenes faecalis↗

PubMed2003

Improved biotransformations on charged PEGA supports.

PEGA supports functionalised with permanent charges show superior swelling properties in aqueous media when compared to neutral PEGA; a novel positively charged PEGA resin significantly improves penicillin G amidase (PGA) catalysed biotransformation on solid support, by favouring accessibility of the negatively charged enzyme.

Biotransformation↗

PubMed2002

Solvent selection for solid-to-solid synthesis.

Thermolysin catalyzed solid-to-solid synthesis of the model peptide Z-L-Phe-L-Leu-NH(2) is practically feasible in water and a range of organic solvents with different physicochemical properties. Excellent overall conversions were obtained in acetonitrile, ethyl acetate, n-hexane, methanol, 2-propanol, tert-amyl alcohol, tetrahydrofuran, toluene and water, while no product precipitation was observed in dichloromethane resulting in a much lower yield. In precipitation driven synthesis the product accumulates both in solution and in the solid phase. It was shown that the highest overall yields (yield in the liquid plus yield in the solid) can be expected in solvents where the substrate solubilities are minimized. The best yields of solid product can be expected in solvents where both product and substrate solubilities are lowest. This was in agreement with experimental observations and should be generally valid.

Alcohols↗

PubMed2002

GRID/tetrahedral intermediate computational approach to the study of selectivity of penicillin G acylase in amide bond synthesis.

Molecular modelling was used to investigate the catalytic site of penicillin G acylase (PGA) by building up a simple enzyme-ligand model able to describe and predict the enzyme selectivity. The investigation was based on a double computational approach: first, the GRID computational procedure was applied to gain a qualitative description of the chemical features of the PGA active site; second, a classical "transition state approach" was used to simulate the tetrahedral intermediates and to evaluate their energies. GRID calculations employed different probes which gave a complete description of the chemical interactions occurring upon binding of different ligands, thus indicating those structures having good affinity with the active site of the enzyme. Tetrahedral intermediates were constructed on the basis of GRID results and provided both geometrical features and energies of enzyme-substrate interaction. Such energies were compared to experimental kinetic data obtained in the enzymatic acylation of L-phenylglycine methyl ester using various methyl phenylacetate derivatives. The good agreement of computational results with experimental evidence demonstrates the validity of the model as a rapid and flexible tool to describe and predict the enzyme selectivity.

Amino Acid Sequence↗