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Luigi Leonardo Palese
Ruolo
Ricercatore
Organizzazione
Università degli Studi di Bari Aldo Moro
Dipartimento
DIPARTIMENTO DI SCIENZE MEDICHE DI BASE, NEUROSCIENZE ED ORGANI DI SENSO
Area Scientifica
AREA 05 - Scienze biologiche
Settore Scientifico Disciplinare
BIO/10 - Biochimica
Settore ERC 1° livello
Non Disponibile
Settore ERC 2° livello
Non Disponibile
Settore ERC 3° livello
Non Disponibile
In this paper allosteric interactions in protonmotive heme aa3 terminal oxidases of respiratory chain are dealt with. The different lines of evidence supporting the key role of H+/e- coupling (redox Bohr effect) at the low spin heme a in the proton pump of the bovine oxidase are summarized. Results are presented showing that the I-R54M mutation in P. denitrificans aa3 oxidase, which decreases by more than 200 mV the Em of heme a, inhibits proton pumping. Mutational aminoacid replacement in proton channels, at the negative (N) side of membrane-inserted prokaryotic aa3 oxidases, as well as Zn2 + binding at this site in the bovine oxidase, uncouple proton pumping. This effect appears to result from alteration of the structural/functional device, closer to the positive, opposite (P) surface, which separate pumped protons from those consumed in the reduction of O2 to 2 H2O. This article is part of a Special Issue entitled: Respiratory Oxidases
Development of extracellular plaques characteristic of Alzheimer’s disease is related to aggregation of amyloid peptides. The Aβ-42 peptide is the most aggregation prone species, and some missense mutant forms increase this aggregation ability. Due to its poor solubility as monomer in aqueous solutions, Aβ-42 conformational transitions in water have been largely investigated by molecular dynamics. Here we report an all-atom molecular dynamics analysis of the Aβ-42 peptide in aqueous environment using as starting conformation a structure obtained in an isotropic, low-polarity medium, representing a plausible model for the membrane-bound species. While previous studies commonly show that Aβ-42 is largely unstructured in aqueous solution, here we report that this peptide can adopt partially folded structures. Importance of ionic strength has been also investigated, showing that at physiological ionic strength condition a loop stabilizing electrostatic interaction involving Lys28 builds-up. In addition, beside stable α-helix structures, we observe the appearance of 310 helix, similar to what reported experimentally for the Aβ-40 species. The effect of E22Q (Dutch) mutation in high ionic strength condition has been explored. We show that this mutation has a dramatic impact on the Aβ-42 structure. Instead of a partially folded, but extended, conformation obtained with the wild type, the E22Q assumes a two-helix collapsed one due to the clustering of hydrophobic residues.
Recently has been acknowledged the healthy use of Bacillus and related bacteria as probiotics. A mixture reported to contain four probiotic strains of Bacillus clausii is marketed as an OTC (Over The Counter) medicinal supplement for human use. Their poliantibiotic resistant property, useful for restoring the gut microbiota during antibiotic treatment, raises the question about the risk of resistance transfer. In order to better assess the risk-benefit ratio it is important to always monitoring the pattern and stability of resistance spectra in these bacteria. In this work, we have extensively redefined the antibiotic susceptibility profile of these four probiotic strains. Resistance phenotype has been determined by screening a large number of antibiotics, including natural products (such as penicillin, vancomycin and erythromycin), and completely synthetic molecules (such as fluoroquinolones). Extensive comparison with a wild type strain belonging to the normal intestinal microbiome was carried out. The molecular basis of some resistances was determined. Observed antibiotic resistances were correlated with previous and new data in safety evaluations of these strains for human use
A fundamental and still debated problem is how folded structures of proteins are related to their unfolded state. Besides the classical view, in which a large number of conformations characterize the unfolded state while the folded one is dominated by a single structure, recently a reassessment of the denatured state has been suggested. A growing amount of evidence indicates that not only the folded but also the unfolded state is at least partially organized. Here, we try to answer the question of how different protein dynamics is in folded and unfolded states by performing all-atom molecular dynamics simulations on the model protein Trp-cage. Random matrix theory inspired analysis of the correlation matrices has been carried out. The spectra of these correlation matrices show that the low rank modes of Trp-cage dynamics are outside of the limit expected for a random system both in folded and in unfolded conditions. These findings shed light on the nature of the unfolded state of the proteins, suggesting that it is much less random than previously thought.
Microbial dynamics and enzymatic activities of activated sludge processes are not completely understood yet. A better understanding about the biology is indispensable for further process optimization. Since proteins play a key role as catalysts in sludge processes, a protocol for protein extraction and analysis by 2-D PAGE was established. It is based on phenol extraction of alkaline extracts and on a subsequent precipitation with ammonium sulphate. 2-D protein patterns obtained from different sludges collected from membrane bioreactors showed--besides common spots--significant differences. Selected proteins were identified with nano-HPLC-ESI-MS/MS. All membrane biological reactor (MBR) sludge samples investigated in this study contained elastase 3A, which implies that this human serine protease is a significant constituent of municipal wastewater. Although the identification of proteins from ammonia-oxidizing bacterium Nitrosomonas europaea was expected, the detection of a protein with homology to the marine bacterium Saprospira grandis in MBR1 was surprising.
In this work low temperature molecular dynamics simulations of cytochrome c oxidase are used to predict an experimentally observable, namely Mössbauer spectra width. Predicted lineshapes are used to model Lorentzian doublets, with which published cytochrome c oxidase Mössbauer spectra were simulated. Molecular dynamics imposed constraints to spectral lineshapes permit to obtain useful information, like the presence of multiple chemical species in the binuclear center of cytochrome c oxidase. Moreover, a benchmark of quality for molecular dynamic simulations can be obtained. Despite the overwhelming importance of dynamics in electron-proton transfer systems, limited work has been devoted to unravel how much realistic are molecular dynamics simulations results. In this work, molecular dynamics based predictions are found to be in good agreement with published experimental spectra, showing that we can confidently rely on actual simulations. Molecular dynamics based deconvolution of Mössbauer spectra will lead to a renewed interest for application of this approach in bioenergetics.
Haem–copper oxidases are the terminal enzymes in both prokaryotic and eukaryotic respiratory chains. They catalyse the reduction of dioxygen to water and convert redox energy into a transmembrane electrochemical proton gradient during their catalytic activity. Haem–copper oxidases show substantial structure similarity, but spectroscopic and biochemical analyses indicate that these enzymes contain diverse prosthetic groups and use different substrates (i.e. cytochrome c or quinol). Owing to difficulties in membrane protein crystallization, there are no definitive structural data about the quinol oxidase physiological substrate-binding site(s). In the present paper, we propose an atomic structure model for the menaquinol:O2 oxidoreductase of Bacillus subtilis (QOx.aa3). Furthermore, a multistep computational approach is used to predict residues involved in the menaquinol/menaquinone binding within B. subtilis QOx.aa3 as well as those involved in quinol/quinone binding within Escherichia coli QOx.bo3. Two specific sequence motifs, R70GGXDX4RXQX3PX3FX[D/N/E/Q]X2HYNE97 and G159GSPX2GWX2Y169 (B. subtilis numbering), were highlighted within QOx from Bacillales. Specific residues within the first and the second sequencemotif participate in the high- and low-affinity substrate-binding sites respectively. Using comparative analysis, two analogous motifs, R71GFXDX4RXQX8[Y/F]XPPHHYDQ101 and G163EFX3GWX2Y173 (E. coli numbering) were proposed to be involved in Enterobacteriales/Rhodobacterales/Rhodospirillales QOx high- and low-affinity quinol-derivative-binding sites. Results and models are discussed in the context of the literature.
Over the last few years, there has been significant progress in the knowledge on protein folding. However, some aspects of protein folding still need further attention. One of these is the exact relationship between the folded and unfolded states and the differences between them. Whereas the folded state is well known, at least from a structural point of view (just think of the thousands of structures in online databases), the unfolded state is more elusive. Also, these are dynamic states of matter, and this aspect cannot be overlooked. Molecular dynamics-derived correlation matrices are an invaluable source of information on the protein dynamics. Here, bulk eigenvalue spectra of the correlation matrices obtained from the Trp-cage dynamics in the folded and unfolded states have been analyzed. The associated modes represent localized vibrations and are significantly affected by the fine details of the structure and interactions. Therefore, these bulk modes can be used as probes of the protein local dynamics in different states. The results of these analyses show that the correlation matrices describing the folded and unfolded dynamics belong to different symmetry classes. This finding provides new support to the phase-transition models of protein folding.
Biological functions are intimately rooted in biopolymer dynamics. It is commonly accepted that proteins can be considered as complex systems, but the origin of such complexity is still not fully understood. Moreover, it is still not really clear if proteins are true complex systems or complicated ones. Here, molecular dynamics simulations on a two helix bundle protein have been performed, and protein trajectories have been analyzed by using correlation functions in the frequency domain. We show that even a simple protein exhibits the hallmarks of complex systems. Moreover, the molecular bases of this complex behavior are possessed completely by the protein itself, because such complexity emerges without considering the solvent explicitly.
It is well known that, in some situations, principal component analysis (PCA) carried out on molecular dynamics data results in the appearance of cosine-shaped low index projections. Because this is reminiscent of the results obtained by performing PCA on a multidimensional Brownian dynamics, it has been suggested that short-time protein dynamics is essentially nothing more than a noisy signal. Here we use Random Matrix Theory to analyze a series of short-time molecular dynamics experiments which are specifically designed to be simulations with high cosine content. We use as a model system the protein apoCox17, a mitochondrial copper chaperone. Spectral analysis on correlation matrices allows to easily differentiate random correlations, simply deriving from the finite length of the process, from non-random signals reflecting the intrinsic system properties. Our results clearly show that protein dynamics is not really Brownian also in presence of the cosine-shaped low index projections on principal axes.
Even if systems thinking is not new in biology, rationalizing the explosively growing amount of knowledge has been the compelling reason for the sudden rise and spreading of systems biology. Based on ‘omics’ data, several genome-scale metabolic networks have been reconstructed and validated. One of the most striking aspects of complex metabolic networks is the pervasive power-law appearance of metabolite connectivity. However, the combinatorial diversity of some classes of compounds, such as lipids, has been scarcely considered so far. In this work, a lipid-extended human mitochondrial metabolic network has been built and analyzed. It is shown that, considering combinatorial diversity of lipids and multipurpose enzymes, an intimate connection between membrane lipids and oxidative phosphorilation appears. This finding leads to some biomedical considerations on diseases involving mitochondrial enzymes. Moreover, the lipid-extended network still shows power-law features. Power-law distributions are intrinsic to metabolic network organization and evolution. Hubs in the lipid-extended mitochondrial network strongly suggest that the “RNA world” and the “lipid world” hypothesis are both correct.
A comparative analysis of terminal respiratory enzymes has been performed on four strains of Bacillus clausii used for preparation of a European probiotic. These four strains originated most probably from a common ancestor through early selection of stable clones for industrial propagation. They exhibit a low level of intra-specific diversity and a high degree of genomic conservation, making them an attractive model to study the different bioenergetics behaviors of alkaliphilic bacilli. The analysis of the different bioenergetics responses has been carried out revealing striking differences among the strains. Two out of the four strains have shown a functional redundancy of the terminal part of the respiratory chain. The biochemical data correlate with the expression level of the mRNA of cytochrome c oxidase and quinol oxidase genes (heme-copper type). The consequences of these different bioenergetics behaviors are also discussed.
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