Biomedical subjects

A Amadei

Publications and source records attributed to A Amadei.

At least 19 recordsLinked to original sources

PubMed2006

Conformational behavior of temporin A and temporin L in aqueous solution: a computational/experimental study.

Molecular dynamics (MD) simulations and circular dichroism (CD) experiments were carried out on aqueous temporin A and L, two short peptides belonging to an interesting class of natural substances known to be active mainly against Gram-positive/negative bacteria and fungi. Experimental results indicate the higher propensity of temporin L, with respect to temporin A, in forming alpha-helical structures. These results were revisited by long-timescale MD simulations, in which their alpha-helical propensity was investigated in the absence of trifluoroethanol. Results clearly show the higher stability of alpha-helix conformations in temporin L; moreover, an interestingly strong mechanical analogy emerges since both temporins show the same residue interval (from 7 to 10) as the most energetically accessible for alpha-helix formation. Such studies provide some intriguing structural and mechanical evidence that may help in better understanding and rationalizing the conformational behaviour of temporins in water solution and, ultimately, the inner principles of their microbial targets selectivity and mechanism of action at the level of cell membranes.

Amino Acid Sequence↗

PubMed2004

Characterization of the conformational behavior of peptide Contryphan Vn: a theoretical study.

In this work we report the study of a peptide, the Contryphan Vn produced by Conus ventricosus, a vermivorous cone snail living in the temperate Mediterranean sea. This cyclic peptide of nine residues is a ring closed by a Cys-Cys (Cys: cysteine) disulfide bond containing two proline (Pro) residues and two tryptophans (Trp), one of them being a D-Trp. We present a statistical mechanical characterization of the peptide, simulated in water for about 200 ns with classical molecular dynamics (MD). In recent years there has been a growing interest in the study of the mechanics and dynamics of biological molecules, and in particular for proteins and peptides, about the relationship between collective motions and the active conformations which exert the biological function. To this aim we used the essential dynamics analysis on the MD trajectory and extracted, from the total fluctuations of the molecule, the dominant dynamical modes responsible of the principal conformational transitions. The Contryphan Vn small size allowed us to investigate in details the all-atoms dynamics and the corresponding thermodynamics in conformational space defined by the most significant intramolecular motions.

Animals↗

PubMed1999

On the convergence of the conformational coordinates basis set obtained by the essential dynamics analysis of proteins' molecular dynamics simulations.

In this article we present a quantitative evaluation of the convergence of the conformational coordinates of proteins, obtained by the Essential Dynamics method. Using a detailed analysis of long molecular dynamics trajectories in combination with a statistical assessment of the significance of the measured convergence, we obtained that simulations of a few hundreds of picoseconds are in general sufficient to provide a stable and statistically reliable definition of the essential and near constraints subspaces, at least within the nanoseconds time range. Proteins 1999;36:419-424.

Algorithms↗

PubMed1999

A kinetic model for the internal motions of proteins: diffusion between multiple harmonic wells.

The dynamics of collective protein motions derived from Molecular Dynamics simulations have been studied for two small model proteins: initiation factor I and the B1 domain of Protein G. First, we compared the structural fluctuations, obtained by local harmonic approximations in different energy minima, with the ones revealed by large scale molecular dynamics (MD) simulations. It was found that a limited set of harmonic wells can be used to approximate the configurational fluctuations of these proteins, although any single harmonic approximation cannot properly describe their dynamics. Subsequently, the kinetics of the main (essential) collective protein motions were characterized. A dual-diffusion behavior was observed in which a fast type of diffusion switches to a much slower type in a typical time of about 1-3 ps. From these results, the large backbone conformational fluctuations of a protein may be considered as "hopping" between multiple harmonic wells on a basically flat free energy surface.

Kinetics↗

PubMed1999

Mechanics and dynamics of B1 domain of protein G: role of packing and surface hydrophobic residues.

The structural organization of the B1 domain of streptococcal protein G (PGA) has been probed using molecular dynamics simulations, with a particular emphasis on the role of the solvent exposed Ile6 residue. In addition to the native protein (WT-PGA), three single-mutants (I6G-PGA, I6F-PGA, and I6T-PGA), one double-mutant (I6T,T53G-PGA), and three isolated peptide fragments (corresponding to the helix and the two beta-hairpins) were studied in the presence of explicit water molecules. Comparative analysis of the various systems showed that the level of perturbation was directly related to the hydrophobicity and the size of the side chain of residue 6, the internal rigidity of the proteins decreasing in the order I6T-PGA > I6G-PGA > WT-PGA > I6F-PGA. The results emphasized the importance of residue 6 in controlling both the integrity of the sheet's surface and the orientation of the helix in relation to the sheet by modulation of surface/core interactions. The effects of mutations were delocalized across the structure, and glycine residues, in particular, absorbed most of the introduced strain. A qualitative structural decomposition of the native fold into elementary building-blocks was achieved using principal component analysis and mechanical response matrices. Within this framework, internal motions of the protein were described as coordinated articulations of these structural units, mutations affecting mostly the amplitude of the motions rather than the structure/location of the building-blocks. Analysis of the isolated peptidic fragments suggested that packing did not play a determinant role in defining the elementary building-blocks, but that chain topology was mostly responsible.

Bacterial Proteins↗

PubMed1999

A molecular dynamics study of the 41-56 beta-hairpin from B1 domain of protein G.

The structural and dynamical behavior of the 41-56 beta-hairpin from the protein G B1 domain (GB1) has been studied at different temperatures using molecular dynamics (MD) simulations in an aqueous environment. The purpose of these simulations is to establish the stability of this hairpin in view of its possible role as a nucleation site for protein folding. The conformation of the peptide in the crystallographic structure of the protein GB1 (native conformation) was lost in all simulations. The new equilibrium conformations are stable for several nanoseconds at 300K (>10 ns), 350 K (>6.5 ns), and even at 450 K (up to 2.5 ns). The new structures have very similar hairpin-like conformations with properties in agreement with available experimental nuclear Overhauser effect (NOE) data. The stability of the structure in the hydrophobic core region during the simulations is consistent with the experimental data and provides further evidence for the role played by hydrophobic interactions in hairpin structures. Essential dynamics analysis shows that the dynamics of the peptide at different temperatures spans basically the same essential subspace. The main equilibrium motions in this subspace involve large fluctuations of the residues in the turn and ends regions. Of the six interchain hydrogen bonds, the inner four remain stable during the simulations. The space spanned by the first two eigenvectors, as sampled at 450 K, includes almost all of the 47 different hairpin structures found in the database. Finally, analysis of the hydration of the 300 K average conformations shows that the hydration sites observed in the native conformation are still well hydrated in the equilibrium MD ensemble.

Amino Acid Sequence↗

PubMed1998

Identification of functional and unfolding motions of cutinase as obtained from molecular dynamics computer simulations.

The implementation of cutinase from Fusarium solani pisi as a fat-stain removing ingredient in laundry washing is hampered by its unfolding in the presence of anionic surfactants. In this work we present molecular dynamics (MD) computer simulations on cutinase and analysis procedures to distinguish the movements related to its functional behavior (e.g., substrate binding) from those related to the unfolding of the enzyme. Two kinds of MD-simulations were performed: a simulation mimicking the thermal motion at room temperature, and several simulations in which unfolding is induced either by high temperature or by using a modified water-protein interaction potential. Essential dynamics analyses (A. Amadei et al., Proteins 17:412-425, 1993) on the simulations identify distinct regions in the molecular structure of cutinase in which the motions occur for function and initial unfolding. The unfolding in various simulations starts in a similar way, suggesting that mutations in the regions involved might stabilize the enzyme without affecting its functionality.

Carboxylic Ester Hydrolases↗

PubMed1998

Domain motions in bacteriophage T4 lysozyme: a comparison between molecular dynamics and crystallographic data.

A comparison of a series of extended molecular dynamics (MD) simulations of bacteriophage T4 lysozyme in solvent with X-ray data is presented. Essential dynamics analyses were used to derive collective fluctuations from both the simulated trajectories and a distribution of crystallographic conformations. In both cases the main collective fluctuations describe domain motions. The protein consists of an N- and C-terminal domain connected by a long helix. The analysis of the distribution of crystallographic conformations reveals that the N-terminal helix rotates together with either of these two domains. The main domain fluctuation describes a closure mode of the two domains in which the N-terminal helix rotates concertedly with the C-terminal domain, while the domain fluctuation with second largest amplitude corresponds to a twisting mode of the two domains, with the N-terminal helix rotating concertedly with the N-terminal domain. For the closure mode, the difference in hinge-bending angle between the most open and most closed X-ray structure along this mode is 49 degrees. In the MD simulation that shows the largest fluctuation along this mode, a rotation of 45 degrees was observed. Although the twisting mode has much less freedom than the closure mode in the distribution of crystallographic conformations, experimental results suggest that it might be functionally important. Interestingly, the twisting mode is sampled more extensively in all MD simulations than it is in the distribution of X-ray conformations.

Bacteriophage T4↗

PubMed1997

Prediction of protein conformational freedom from distance constraints.

A method is presented that generates random protein structures that fulfil a set of upper and lower interatomic distance limits. These limits depend on distances measured in experimental structures and the strength of the interatomic interaction. Structural differences between generated structures are similar to those obtained from experiment and from MD simulation. Although detailed aspects of dynamical mechanisms are not covered and the extent of variations are only estimated in a relative sense, applications to an IgG-binding domain, an SH3 binding domain, HPr, calmodulin, and lysozyme are presented which illustrate the use of the method as a fast and simple way to predict structural variability in proteins. The method may be used to support the design of mutants, when structural fluctuations for a large number of mutants are to be screened. The results suggest that motional freedom in proteins is ruled largely by a set of simple geometric constraints.

Magnetic Resonance Spectroscopy↗

PubMed1997

The essential dynamics of Cu, Zn superoxide dismutase: suggestion of intersubunit communication.

A 300-ps molecular dynamics simulation of the whole Cu, Zn superoxide dismutase dimer has been carried out in water, and the trajectory has been analyzed by the essential dynamics method. The results indicate that the motion is defined by few preferred directions identified by the first four to six eigenvectors and that the motion of the two monomers at each instant is not symmetrical. The vectors symmetrical to the eigenvectors are significantly sampled, suggesting that, on average, the motions of the two subunits will exchange. Large intra- and intersubunit motions involving different subdomains of the protein are observed. A mechanical coupling between the two subunits is also suggested, because displacements of the loops surrounding the active site in one monomer are correlated with the motion of parts of the second toward the intersubunit interface.

Computer Simulation↗

PubMed1997

Protein dynamics derived from clusters of crystal structures.

A method is presented to mathematically extract concerted structural transitions in proteins from collections of crystal structures. The "essential dynamics" procedure is used to filter out small-amplitude fluctuations from such a set of structures; the remaining large conformational changes describe motions such as those important for the uptake/release of substrate/ligand and in catalytic reactions. The method is applied to sets of x-ray structures for a number of proteins, and the results are compared with the results from essential dynamics as applied to molecular dynamics simulations of those proteins. A significant degree of similarity is found, thereby providing a direct experimental basis for the application of such simulations to the description of large concerted motions in proteins.

Animals↗

PubMed1996

Identification of a pattern in protein structure based on energetic and statistical considerations.

We carry out a statistical analysis of the nonbonded interactions in 10 high-resolution nonhomologous protein structures, using original algorithms. We observe a tendency of nonbonded interactions which contribute significantly (i.e., with an energy lower than the average value, referred to as "strong") to protein stability, to be concentrated in clusters of residues that are strongly sequence correlated. We characterize this sequence correlation and subsequently define a "system" as the pattern that describes these clusters. In order to study the distribution of the systems in the proteins we build a matrix for each protein and for each term of the empirical potential function used to compute the nonbonded interactions; each ij element is the number of common residues between the systems i and j. The analysis of the matrices shows the presence of compact blocks that define units in the protein structure which concentrate strong and weak interactions inside the unit itself and display relative independence with respect to the rest of the protein. Comparing the blocks defined by the three nonbonded energy components (electrostatic, hydrogen bonds, and van der Waals interactions) we observe a one-to-one correspondence between the blocks of different energy components with an average overlap of 90% of the residues forming each block.

Calcium-Binding Proteins↗

PubMed1996

An extended sampling of the configurational space of HPr from E. coli.

Recently, we developed a method (Amadei et al., J. Biomol. Str. Dyn. 13: 615-626; de Groot et al., J. Biomol. Str. Dyn. 13: 741-751, 1996) to obtain an extended sampling of the configurational space of proteins, using an adapted form of molecular dynamics (MD) simulations, based on the essential dynamics (ED) (Amadei et al., Proteins 17:412-425, 1993) method. In the present study, this ED sampling technique is applied to the histidine-containing phosphocarrier protein HPr from Escherichia coli. We find a cluster of conformations that is an order of magnitude larger than that found for a usual MD simulation of comparable length. The structures in this cluster are geometrically and energetically comparable to NMR structures. Moreover, on average, this large cluster satisfies nearly all NMR-derived distance restraints.

Bacterial Proteins↗

PubMed1996

The consistency of large concerted motions in proteins in molecular dynamics simulations.

A detailed investigation is presented into the effect of limited sampling time and small changes in the force field on molecular dynamics simulations of a protein. Thirteen independent simulations of the B1 IgG-binding domain of streptococcal protein G were performed, with small changes in the simulation parameters in each simulation. Parameters studied included temperature, bond constraints, cut-off radius for electrostatic interactions, and initial placement of hydrogen atoms. The essential dynamics technique was used to reveal dynamic differences between the simulations. Similar essential dynamics properties were found for all simulations, indicating that the large concerted motions found in the simulations are not particularly sensitive to small changes in the force field. A thorough investigation into the stability of the essential dynamics properties as derived from a molecular dynamics simulation of a few hundred picoseconds is provided. Although the definition of the essential modes of motion has not fully converged in these short simulations, the subspace in which these modes are confined is found to be reproducible.

Antigens, Bacterial↗

PubMed1996

A comparison of structural and dynamic properties of different simulation methods applied to SH3.

The dynamic and static properties of molecular dynamics simulations using various methods for treating solvent were compared. The SH3 protein domain was chosen as a test case because of its small size and high surface-to-volume ratio. The simulations were analyzed in structural terms by examining crystal packing, distribution of polar residues, and conservation of secondary structure. In addition, the "essential dynamics" method was applied to compare each of the molecular dynamics trajectories with a full solvent simulation. This method proved to be a powerful tool for the comparison of large concerted atomic motions in SH3. It identified methods of simulation that yielded significantly different dynamic properties compared to the full solvent simulation. Simulating SH3 using the stochastic dynamics algorithm with a vacuum (reduced charge) force field produced properties close to those of the full solvent simulation. The application of a recently described solvation term did not improve the dynamic properties. The large concerted atomic motions in the full solvent simulation as revealed by the essential dynamics method were analyzed for possible biological implications. Two loops, which have been shown to be involved in ligand binding, were seen to move in concert to open and close the ligand-binding site.

Algorithms↗

PubMed1996

An efficient method for sampling the essential subspace of proteins.

A method is presented for a more efficient sampling of the configurational space of proteins as compared to conventional sampling techniques such as molecular dynamics. The method is based on the large conformational changes in proteins revealed by the "essential dynamics" analysis. A form of constrained dynamics is performed, forcing the system to move along some of the essential coordinates. This results in a broader sampling of the essential subspace than in a comparable conventional molecular dynamics simulation without constraints. The new sampling method (essential dynamics sampling) was applied to the histidine-containing phosphocarrier protein HPr. The results indicate that the essential dynamics sampling method produces physically allowed structures, as estimated by the evaluation of many geometrical properties. In addition, a study of the motions in the essential subspace reveals a diffusion-like behavior.

Bacterial Proteins↗

PubMed1996

Toward an exhaustive sampling of the configurational spaces of the two forms of the peptide hormone guanylin.

The recently introduced Essential Dynamics sampling method is extended such that an exhaustive sampling of the available (backbone) configurational space can be achieved. From an initial Molecular Dynamics simulation an approximated definition of the essential subspace is obtained. This subspace is used to direct subsequent simulations by means of constraint forces. The method is applied to the peptide hormone guanylin, solvated in water, of which the structure was determined recently. The peptide exists in two forms and for both forms, an extensive sampling was produced. The sampling algorithm fills the available space (of the essential coordinates used in the procedure) at a rate that is approximately six to seven times larger than that for traditional Molecular Dynamics. The procedure does not cause any significant perturbation, which is indicated by the fact that free Molecular Dynamics simulations started at several places in the space defined by the Essential Dynamics sample that complete space. Moreover, analyses of the average free Molecular Dynamics step have shown that nowhere except close to the edge of the available space, there are regions where the system shows a drift in a particular direction. This result also shows that in principle, the essential subspace is a constant free energy surface, with well-defined and steep borders, in which the system moves diffusively. In addition, a comparison between two independent essential dynamics sampling runs, of one form of the peptide, shows that the obtained essential subspaces are virtually identical.

Algorithms↗

PubMed1995

The essential dynamics of thermolysin: confirmation of the hinge-bending motion and comparison of simulations in vacuum and water.

Comparisons of the crystal structures of thermolysin and the thermolysin-like protease produced by B. cereus have recently led to the hypothesis that neutral proteases undergo a hinge-bending motion. We have investigated this hypothesis by analyzing molecular dynamics simulations of thermolysin in vacuum and water, using the essential dynamics method. This method is able to extract large concerted atomic motions of biological importance from a molecular dynamics trajectory. The analysis of the thermolysin trajectories indeed revealed a large rigid body hinge-bending motion of the N-terminal and C-terminal domains, similar to the motion hypothesized from the crystal structure comparisons. In addition, it appeared that the essential dynamics properties derived from the vacuum simulation were similar to those derived from the solvent simulation.

Computer Simulation↗