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Antonio Morreale

Publications and source records attributed to Antonio Morreale.

10 recordsLinked to original sources

Comparative binding energy analysis considering multiple receptors: a step toward 3D-QSAR models for multiple targets.

Comparative binding energy analysis, a technique to derive receptor-based three-dimensional quantitative structure-activity relationships (3D-QSAR), is herein extended to consider both affinity and selectivity in the derivation of the QSAR model. The extension is based on allowing multiple structurally related receptors to enter the X-matrix employed in the derivation of the structure-activity model. As a result, a single model common to all of them is obtained that considers both intra- and inter-receptor affinity differences for a given congeneric series. We applied the technique to a series of 88 3-amidinophenylalanines, binding to thrombin, trypsin, and factor Xa (fXa). A single predictive regression model for the three receptors involving 202 complexes, with a leave-one out (LOO) cross-validated Q(2) of 0.689, was obtained, and selectivity requirements were investigated. We find that total or partial occupancy of any of the three main pockets in the binding site (D-site, P-site, and the rim of the S1-site) leads to higher affinity across the family. However, the fact that thrombin can make stronger interactions in the P-site, as a result of its exclusive 60-loop, makes of this site a specificity pocket for this thrombin. Occupancy of the D-site leads to more active inhibitors toward fXa for the same reason, but the model does not highlight strongly the D-box because inhibitors are too short to fully occupy it. Negative charge density in the neighborhood of position 88 (a Lys insertion in thrombin) is found to be a determinant for thrombin recognition. These results were consistent with previous studies on selectivity in the thrombin/trypsin/fXa system.

Amino Acid Sequence↗

A fast method for the determination of fractional contributions to solvation in proteins.

A fast method for the calculation of residue contributions to protein solvation is presented. The approach uses the exposed polar and apolar surface of protein residues and has been parametrized from the fractional contributions to solvation determined from linear response theory coupled to molecular dynamics simulations. Application of the method to a large subset of proteins taken from the Protein Data Bank allowed us to compute the expected fractional solvation of residues. This information is used to discuss when a residue or a group of residues presents an uncommon solvation profile.

Amino Acid Sequence↗

Computational approaches to model ligand selectivity in drug design.

To be effective, a designed drug must discriminate successfully the macromolecular target from alternative structures present in the organism. The last few years have witnessed the emergence of different computational tools aimed to the understanding and modeling of this process at molecular level. Although still rudimentary, these methods are shaping a coherent approach to help in the design of molecules with high affinity and specificity, both in lead discovery and in lead optimization. It is the purpose of this review to illustrate the array of computational tools available to consider selectivity in the design process, to summarize the most relevant applications, and to sketch the challenges ahead.

Amino Acid Sequence↗

Computational study on the difference between the Co-C bond dissociation energy in methylcobalamin and adenosylcobalamin.

The bond dissociation energies of the Co-C bonds in the cobalamin cofactors methylcobalamin and adenosylcobalamin were calculated using the hybrid quantum mechanics/molecular mechanics method IMOMM (integrated molecular orbital and molecular mechanics). Calculations were performed on models of differing complexities as well as on the full systems. We investigated the origin of the different experimental values for the Co-C bond dissociation energies in methylcobalamin and adenosylcobalamin, and have provided an explanation for the difficulties encountered when we attempt to reproduce this difference in quantum chemistry. Additional calculations have been performed using the Miertus-Scrocco-Tomasi method in order to estimate the influence of solvent effects on the homolytic Co-C bond cleavage. Introduction of these solvation effects is shown to be necessary for the correct reproduction of experimental trends in bond dissociation energies in solution, which consequently have no direct correlation with dissociation processes in the enzyme.

Cobamides↗

Theoretical study of the truncated hemoglobin HbN: exploring the molecular basis of the NO detoxification mechanism.

Mycobacterium tuberculosis is the causative agent of human tuberculosis. The nitric oxide reaction with oxy-truncated hemoglobin N (trHbN) has been proposed to be responsible for the resistance mechanism by which this microorganism can evade the toxic effects of NO. In this work, we explore the molecular basis of the NO detoxification mechanism using a combination of classical and hybrid quantum-classical (QM-MM) simulation techniques. We have investigated the structural flexibility of the protein, the ligand affinity properties, and the nitric oxide reaction with coordinated O2. The analysis of the classical MD trajectory allowed us to identify Phe62 as the gate of the main channel for ligand diffusion to the active site. Moreover, the opening of the channel stems from the interplay between collective backbone motions and local rearrangements in the side chains of the residues that form the bottleneck of the tunnel. Even though the protein environment is not found to make a significant contribution to the heme moiety catalyzed reaction, the binding site influences the physiological function of the enzyme at three different levels. First, by isolating the intermediates formed in the reaction, it prevents nondesired reactions from proceeding. Second, it modulates the ligand (O2, NO) affinity of the protein, which can be ascribed to both distal and proximal effects. Finally, the stabilization of the Tyr33-Gln58 pair upon O2 binding might alter the essential dynamics of the protein, leading in turn to a mechanism for ligand-induced regulation.

Heme↗

Partition of protein solvation into group contributions from molecular dynamics simulations.

Linear response theory coupled to molecular dynamics simulations with an explicit solvent representation is used to derive fractional contributions of amino acid residues to the solvation of proteins. The new fractional methods developed here are compared with standard approaches based on empirical 1D and 3D statistical potentials, as well as with estimates obtained from the analysis of classical molecular interaction potentials. The new fractional methods, which have a clear physical basis and explicitly account for the effects due to protein structure and flexibility, provide an accurate picture of the contribution to solvation of different regions of the protein.

Computer Simulation↗

Linear response theory: an alternative to PB and GB methods for the analysis of molecular dynamics trajectories?

We explore the use of classical Linear Response Theory (LRT) as an alternative strategy to the use of Molecular Mechanics/Poisson-Boltzmann strategies to compute the solvation free energy of macromolecules from molecular dynamics simulations using an explicit representation of solvent. The method reproduces well the free energy of solvation of standard amino acid side chains, small peptides, and proteins. The use of a fully discrete representation of solvent avoids the possible problems of continuum models to represent the solvation of systems containing tightly bound water molecules.

Alanine↗

Synthesis, biological evaluation and molecular modelling of diversely functionalized heterocyclic derivatives as inhibitors of acetylcholinesterase/butyrylcholinesterase and modulators of Ca2+ channels and nicotinic receptors.

The synthesis and the biological activity of compounds 5-40 as inhibitors of acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE), as well as modulators of voltage-dependent Ca(2+) channels and nicotinic receptors, are described. These molecules are tacrine analogues, which have been prepared from polyfunctionalized 6-amino-5-cyano-4H-pyrans, 6-amino-5-cyano-pyridines and 5-amino-2-aryl-3-cyano-1,3-oxazoles via Friedländer reaction with selected cycloalkanones. These compounds are moderate acetylcholinesterase and butyrylcholinesterase inhibitors, the BuChE/AChE selectivity of the most active molecules ranges from 10.0 (compound 29) to 76.9 (compound 16). Interestingly, the 'oxazolo-tacrine' derivatives are devoid of any activity. All compounds showed an important inhibitory effect on the nicotinic acetylcholine receptor. Most of them also blocked L-type Ca(2+) channels, and three of them, 64, 19 and 67, the non-L type of Ca(2+) channels. Molecular modelling studies suggest that these compounds might bind at the peripheral binding site of AChE, which opens the possibility to design inhibitors able to bind at both, the catalytic and peripheral binding sites of the enzyme.

Acetylcholinesterase↗

Continuum and discrete calculation of fractional contributions to solvation free energy.

Approaches to compute fractional contributions to the solvation free energy are developed in the context of continuum self consistent reaction field calculations (both classical and quantum mechanical), as well as in the framework of discrete molecular dynamics simulations. It is found that for a series of typical pharmacological drugs there is a good agreement between the different fractional descriptions. Algorithms reported here can be easily applied as molecular descriptors in the context of quantitative structure-activity relationships.

Algorithms↗

The Principle of Maximum Chiral Discrimination: Chiral Recognition in Permethyl-beta-cyclodextrin.

Five guest molecules, isomenthone, pulegone, 1-fluoro-1-phenylethane, 1-phenylethanol, and 2-methylbutanoic acid, binding to permethyl-beta-cyclodextrin, a chiral host molecule, have been simulated by molecular dynamics techniques. From the simulations we find the preferred binding site to be the interior of the macrocyclic cavity. A new technique was used for locating the host's most enantiodiscriminating domain, which was also found to be inside the macrocyclic cavity. It is concluded that this particular host molecule displays its enhanced chiral discriminating capacity because of this spatial coincidence. Also evaluated in this paper are the types and magnitudes of intermolecular forces responsible for diastereomeric complexation and chiral discrimination; in both cases the short-range dispersion forces dominate. This study illustrates the "principle of maximum chiral recognition", the idea that maximum chiral recognition can be achieved by maintaining a spatial congruence between the host's domain of greatest enantiodifferentiation with the guest's preferred binding site.

Journal Article↗