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Dive into the research topics where Alfredo Di Nola is active.

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Featured researches published by Alfredo Di Nola.


Proteins | 1999

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

Andrea Amadei; Marc A. Ceruso; Alfredo Di Nola

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.


Proteins | 2005

Properties of integral membrane protein structures: Derivation of an implicit membrane potential

Martin B. Ulmschneider; Mark S.P. Sansom; Alfredo Di Nola

Distributions of each amino acid in the trans‐membrane domain were calculated as a function of the membrane normal using all currently available α‐helical membrane protein structures with resolutions better than 4 Å. The results were compared with previous sequence‐ and structure‐based analyses. Calculation of the average hydrophobicity along the membrane normal demonstrated that the protein surface in the membrane domain is in fact much more hydrophobic than the protein core. While hydrophobic residues dominate the membrane domain, the interfacial regions of membrane proteins were found to be abundant in the small residues glycine, alanine, and serine, consistent with previous studies on membrane protein packing. Charged residues displayed nonsymmetric distributions with a preference for the intracellular interface. This effect was more prominent for Arg and Lys resulting in a direct confirmation of the positive inside rule. Potentials of mean force along the membrane normal were derived for each amino acid by fitting Gaussian functions to the residue distributions. The individual potentials agree well with experimental and theoretical considerations. The resulting implicit membrane potential was tested on various membrane proteins as well as single trans‐membrane α‐helices. All membrane proteins were found to be at an energy minimum when correctly inserted into the membrane. For α‐helices both interfacial (i.e. surface bound) and inserted configurations were found to correspond to energy minima. The results demonstrate that the use of trans‐membrane amino acid distributions to derive an implicit membrane representation yields meaningful residue potentials. Proteins 2005.


Proteins | 1999

Docking of flexible ligands to flexible receptors in solution by molecular dynamics simulation

Massimiliano Mangoni; Danilo Roccatano; Alfredo Di Nola

In this paper, a method of simulating the docking of small flexible ligands to flexible receptors in water is reported. The method is based on molecular dynamics simulations and is an extension of an algorithm previously reported by Di Nola et al. (Di Nola et al., Proteins 1994;19:174–182). The method allows a fast exploration of the receptor surface, using a high temperature of the center of mass translational motion, while the ligand internal motions, the solvent, and the receptor are simulated at room temperature. In addition, the method allows a fast center of mass motion of the ligand, even in solution. The dampening effect of the solvent can be overcome by applying different weights to the interactions between system subsets (solvent, receptor, and ligand). Specific ligand–receptor distances have been used to compare the results of the simulations with the crystal structure. The method is applied, as a test system, to the docking of the phosphocholine to the immunoglobulin McPC603. The results show the similarity of structure between the complex in solution and in the crystal. Proteins 1999;35:153–162.


Proteins | 2004

β‐Hairpin conformation of fibrillogenic peptides: Structure and α‐β transition mechanism revealed by molecular dynamics simulations

Isabella Daidone; Fabio Simona; Danilo Roccatano; Ricardo A. Broglia; Guido Tiana; Giorgio Colombo; Alfredo Di Nola

Understanding the conformational transitions that trigger the aggregation and amyloidogenesis of otherwise soluble peptides at atomic resolution is of fundamental relevance for the design of effective therapeutic agents against amyloid‐related disorders. In the present study the transition from ideal α‐helical to β‐hairpin conformations is revealed by long timescale molecular dynamics simulations in explicit water solvent, for two well‐known amyloidogenic peptides: the H1 peptide from prion protein and the Aβ(12–28) fragment from the Aβ(1–42) peptide responsible for Alzheimers disease. The simulations highlight the unfolding of α‐helices, followed by the formation of bent conformations and a final convergence to ordered in register β‐hairpin conformations. The β‐hairpins observed, despite different sequences, exhibit a common dynamic behavior and the presence of a peculiar pattern of the hydrophobic side‐chains, in particular in the region of the turns. These observations hint at a possible common aggregation mechanism for the onset of different amyloid diseases and a common mechanism in the transition to the β‐hairpin structures. Furthermore the simulations presented herein evidence the stabilization of the α‐helical conformations induced by the presence of an organic fluorinated cosolvent. The results of MD simulation in 2,2,2‐trifluoroethanol (TFE)/water mixture provide further evidence that the peptide coating effect of TFE molecules is responsible for the stabilization of the soluble helical conformation. Proteins 2004.


Proceedings of the National Academy of Sciences of the United States of America | 2007

Dehydration-driven solvent exposure of hydrophobic surfaces as a driving force in peptide folding

Isabella Daidone; Martin B. Ulmschneider; Alfredo Di Nola; Andrea Amadei; Jeremy C. Smith

Recent work has shown that the nature of hydration of pure hydrophobic surfaces changes with the length scale considered: water hydrogen-bonding networks adapt to small exposed hydrophobic species, hydrating or “wetting” them at relatively high densities, whereas larger hydrophobic areas are “dewetted” [Chandler D (2005), Nature 29:640–647]. Here we determine whether this effect is also present in peptides by examining the folding of a β-hairpin (the 14-residue amyloidogenic prion protein H1 peptide), using microsecond time-scale molecular dynamics simulations. Two simulation models are compared, one explicitly including the water molecules, which may thus adapt locally to peptide configurations, and the other using a popular continuum approximation, the generalized Born/surface area implicit solvent model. The results obtained show that, in explicit solvent, peptide conformers with high solvent-accessible hydrophobic surface area indeed also have low hydration density around hydrophobic residues, whereas a concomitant higher hydration density around hydrophilic residues is observed. This dewetting effect stabilizes the fully folded β-hairpin state found experimentally. In contrast, the implicit solvent model destabilizes the fully folded hairpin, tending to cluster hydrophobic residues regardless of the size of the exposed hydrophobic surface. Furthermore, the rate of the conformational transitions in the implicit solvent simulation is almost doubled with respect to that of the explicit solvent. The results suggest that dehydration-driven solvent exposure of hydrophobic surfaces may be a significant factor determining peptide conformational equilibria.


Proteins | 2002

Molecular dynamics study of a hyperthermophilic and a mesophilic rubredoxin

Alessandro Grottesi; Marc A. Ceruso; Alfredo Colosimo; Alfredo Di Nola

In recent years, increased interest in the origin of protein thermal stability has gained attention both for its possible role in understanding the forces governing the folding of a protein and for the design of new highly stable engineered biocatalysts. To study the origin of thermostability, we have performed molecular dynamics simulations of two rubredoxins, from the mesophile Clostridium pasteurianum and from the hyperthermophile Pyrococcus furiosus. The simulations were carried out at two temperatures, 300 and 373 K, for each molecule. The length of the simulations was within the range of 6–7.2 ns. The rubredoxin from the hyperthermophilic organism was more flexible than its mesophilic counterpart at both temperatures; however, the overall flexibility of both molecules at their optimal growth temperature was the same, despite 59% sequence homology. The conformational space sampled by both molecules was larger at 300 K than at 373 K. The essential dynamics analysis showed that the principal overall motions of the two molecules are significantly different. On the contrary, each molecule showed similar directions of motion at both temperatures. Proteins 2002;46:287–294.


Proteins | 2005

Molecular dynamics simulation of the aggregation of the core-recognition motif of the islet amyloid polypeptide in explicit water

Giorgio Colombo; Isabella Daidone; Ehud Gazit; Andrea Amadei; Alfredo Di Nola

The formation of amyloid fibrils is associated with major human diseases. Nevertheless, the molecular mechanism that directs the nucleation of these fibrils is not fully understood. Here, we used molecular dynamics simulations to study the initial self‐assembly stages of the NH2‐NFGAIL‐COOH peptide, the core‐recognition motif of the type II diabetes associated islet amyloid polypeptide. The simulations were performed using multiple replicas of the monomers in explicit water, in a confined box starting from a random distribution of the peptides at T = 300 K and T = 340 K. At both temperatures the formation of unique clusters was observed after a few nanoseconds. Structural analysis of the clusters clearly suggested the formation of “flat” ellipsoid‐shaped clusters through a preferred locally parallel alignment of the peptides. The unique assembly is facilitated by a preference for an extended conformation of the peptides and by intermolecular aromatic interactions. Taken together, our results may provide a description of the molecular recognition determinants involved in fibril formation, in terms of the atomic detailed structure of nascent aggregates. These observations may yield information on new ways to control this process for either materials development or drug design. Proteins 2005.


Biophysical Journal | 2003

Molecular Dynamics Simulation of Protein Folding by Essential Dynamics Sampling: Folding Landscape of Horse Heart Cytochrome c

Isabella Daidone; Andrea Amadei; Danilo Roccatano; Alfredo Di Nola

A new method for simulating the folding process of a protein is reported. The method is based on the essential dynamics sampling technique. In essential dynamics sampling, a usual molecular dynamics simulation is performed, but only those steps, not increasing the distance from a target structure, are accepted. The distance is calculated in a configurational subspace defined by a set of generalized coordinates obtained by an essential dynamics analysis of an equilibrated trajectory. The method was applied to the folding process of horse heart cytochrome c, a protein with approximately 3000 degrees of freedom. Starting from structures, with a root-mean-square deviation of approximately 20 A from the crystal structure, the correct folding was obtained, by utilizing only 106 generalized degrees of freedom, chosen among those accounting for the backbone carbon atoms motions, hence not containing any information on the side chains. The folding pathways found are in agreement with experimental data on the same molecule.


Proteins | 2005

Thermodynamic and kinetic characterization of a β-hairpin peptide in solution: An extended phase space sampling by molecular dynamics simulations in explicit water

Isabella Daidone; Andrea Amadei; Alfredo Di Nola

The folding of the amyloidogenic H1 peptide MKHMAGAAAAGAVV taken from the syrian hamster prion protein is explored in explicit aqueous solution at 300 K using long time scale all‐atom molecular dynamics simulations for a total simulation time of 1.1 μs. The system, initially modeled as an α‐helix, preferentially adopts a β‐hairpin structure and several unfolding/refolding events are observed, yielding a very short average β‐hairpin folding time of ∼200 ns. The long time scale accessed by our simulations and the reversibility of the folding allow to properly explore the configurational space of the peptide in solution. The free energy profile, as a function of the principal components (essential eigenvectors) of motion, describing the main conformational transitions, shows the characteristic features of a funneled landscape, with a downhill surface toward the β‐hairpin folded basin. However, the analysis of the peptide thermodynamic stability, reveals that the β‐hairpin in solution is rather unstable. These results are in good agreement with several experimental evidences, according to which the isolated H1 peptide adopts very rapidly in water β‐sheet structure, leading to amyloid fibril precipitates [Nguyen et al., Biochemistry 1995;34:4186–4192; Inouye et al., J Struct Biol 1998;122:247–255]. Moreover, in this article we also characterize the diffusion behavior in conformational space, investigating its relations with folding/unfolding conditions. Proteins 2005.


Chemical Physics Letters | 2002

Extension of the perturbed matrix method: application to a water molecule

Riccardo Spezia; Massimiliano Aschi; Alfredo Di Nola; Andrea Amadei

In this Letter we extend the perturbed matrix method by explicitly including the nuclear degrees of freedom and showing how to treat a non-homogeneous electric field. In a previous Letter we showed that this method provides reliable perturbed energies. In the present Letter we evaluate a more sophisticated property such as molecular polarizability for a water molecule.

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Andrea Amadei

University of Rome Tor Vergata

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Marco D’Abramo

Sapienza University of Rome

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Maurizio Paci

University of Rome Tor Vergata

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Alessandro Ballio

Sapienza University of Rome

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Cecilia Bossa

Sapienza University of Rome

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