Publications by authors named "Pierdominici-Sottile G"

Article Synopsis
  • Nonsense correlations can occur between random variables over time, especially in multidimensional random walks, which complicates data analysis.
  • PCA aims to maximize correlations, but this can lead to misleading interpretations when analyzing trajectories influenced by these random correlations.
  • To improve PCA results, concatenating trajectories from multiple simulations is recommended, helping to mitigate issues observed in protein models like human serum albumin and lysozyme.
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Flavin-dependent monooxygenases (FMOs) constitute a diverse enzyme family that catalyzes crucial hydroxylation, epoxidation, and Baeyer-Villiger reactions across various metabolic pathways in all domains of life. Due to the intricate nature of this enzyme family's mechanisms, some aspects of their functioning remain unknown. Here, we present the results of molecular dynamics computations, supplemented by a bioinformatics analysis, that clarify the early stages of their catalytic cycle.

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Article Synopsis
  • Molecular dynamics (MD) simulations are effective for studying protein functions at an atomic level and are increasingly being used for RNA research.
  • Implementing MD simulations for RNA in solution presents specific challenges that practitioners need to understand for proper usage.
  • The chapter covers the basics of MD simulations, details the unique aspects of RNA simulations, discusses the technique's pros and cons, and gives examples of how it helps in understanding small RNA behavior.
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Principal Component Analysis (PCA) is a procedure widely used to examine data collected from molecular dynamics simulations of biological macromolecules. It allows for greatly reducing the dimensionality of their configurational space, facilitating further qualitative and quantitative analysis. Its simplicity and relatively low computational cost explain its extended use.

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  • CsrA/RsmE is a regulatory protein in bacteria that inhibits target mRNA expression by binding to their untranslated regions, which can be countered by small RNAs like RsmZ.
  • The study utilized umbrella sampling simulations to investigate how RsmE unbinds from the AGGAC motif in RsmZ, revealing key residues involved in this process and highlighting a hairpin-like conformation essential for binding.
  • Molecular dynamics simulations indicated that the flexible single-stranded region of RsmZ significantly influences its ability to engage with RsmE, suggesting that structural dynamics play a critical role in RNA-protein interactions.
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Charge discrimination in P2X receptors occurs in two stages. The first stage takes place in the extracellular vestibule. The second one happens as the ions travel across the pore.

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Article Synopsis
  • CsrA/RsmE proteins bind to and repress targeted mRNAs, impacting bacterial metabolic pathways and their responses to the environment.
  • Small RNAs like CsrB and RsmZ counteract this repression by binding to CsrA/RsmE dimers, creating a regulatory system for gene expression.
  • A study using NMR-EPR unraveled the structure of RsmZ with RsmE dimers, showing a specific binding sequence, while molecular dynamics analysis highlighted the exposure patterns of GGA motifs in RsmZ when associated with RsmE.
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Article Synopsis
  • P2X receptors are ion channels in mammalian cell membranes that open when ATP binds to them, but the specific sequence of changes leading to this opening is not fully understood.
  • The research uses umbrella sampling simulations to explore how ATP binds to the P2X4 receptor, revealing a metastable state that helps facilitate this binding.
  • This new understanding suggests a revised mechanism for how ATP is captured by P2X4 receptors, involving stabilizing interactions with positively charged residues.
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P2X receptors are a group of trimeric cationic channels that are activated by adenosine 5'-triphosphate. They perform critical roles in the membranes of mammalian cells, and their improper functioning is associated with numerous diseases. Despite the vast amount of research devoted to them, several aspects of their operation are currently unclear, including the causes of their charge selectivity.

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Article Synopsis
  • The enzyme UDP-galactopyranose mutase (UGM) is a potential target for drugs aimed at treating infections caused by Trypanosoma cruzi.
  • Researchers used Umbrella Sampling simulations to analyze how UDP-galactopyranose is released from UGM, uncovering key conformational changes in both the substrate and enzyme.
  • They discovered that the galactopyranose part of the substrate is very mobile and that the active site undergoes a multi-stage opening/closing process, revealing uncharacterized interactions with important conserved residues, aiding drug design.
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Galactose is an abundant monosaccharide found exclusively in mammals as galactopyranose (Gal p), the six-membered ring form of this sugar. In contrast, galactose appears in many pathogenic microorganisms as the five-membered ring form, galactofuranose (Gal f). Gal f biosynthesis begins with the conversion of UDP-Gal p to UDP-Gal f catalyzed by the flavoenzyme UDP-galactopyranose mutase (UGM).

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Principal component analysis is a technique widely used for studying the movements of proteins using data collected from molecular dynamics simulations. In spite of its extensive use, the technique has a serious drawback: equivalent simulations do not afford the same PC-modes. In this article, we show that concatenating equivalent trajectories and calculating the PC-modes from the concatenated one significantly enhances the reproducibility of the results.

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We present the results of a detailed molecular dynamics study of the closed form of the P2X receptor. The fluctuations observed in the simulations were compared with the changes that occur in the transition from the closed to the open structure. To get further insight on the opening mechanism, the actual displacements were decomposed into interchain motions and intrachain deformations.

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Understanding enzymatic reactions with atomic resolution has proven in recent years to be of tremendous interest for biochemical research, and thus, the use of QM/MM methods for the study of reaction mechanisms is experiencing a continuous growth. Glycosyltransferases (GTs) catalyze the formation of glycosidic bonds, and are important for many biotechnological purposes, including drug targeting. Their reaction product may result with only one of the two possible stereochemical outcomes for the reacting anomeric center, and therefore, they are classified as either inverting or retaining GTs.

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Dendrimers are arrays of coupled chromophores, where the energy of each unit depends on its structure and conformation. The light harvesting and energy funneling properties are strongly dependent on their highly branched conjugated architecture. Herein, the photoexcitation and subsequent ultrafast electronic energy relaxation and redistribution of a first generation dendrimer (1) are analyzed combining theoretical and experimental studies.

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Article Synopsis
  • A study highlights the use of combined principal component analysis (combined-PCA) to compare different protein conformations by analyzing their molecular dynamics trajectories.
  • It introduces new analytical expressions for understanding eigenvectors and eigenvalues from concatenated correlation matrices, which have been lacking since the method's introduction in 1995.
  • The authors provide evidence that the correlation matrix of concatenated trajectories can be expressed as the average of individual matrices plus extra correlation terms, suggesting that combined-PCA offers insights already attainable through simpler methods.
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Article Synopsis
  • UDP-Galactopyranose Mutase (UGM) converts galactopyranose to galactofuranose and is essential for the survival of certain pathogens like Trypanosoma cruzi, which causes Chagas' disease.
  • UGM is absent in mammals, making it a potential target for drug development.
  • This article details a study using QM/MM free energy calculations to explore the reaction mechanism, examining structural changes and interactions throughout the process.
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Chagas' disease, also known as American trypanosomiasis, is a lethal, chronic disease that currently affects more than 10 million people in Central and South America. The trans-sialidase from Trypanosoma cruzi (T. cruzi, TcTS) is a crucial enzyme for the survival of this parasite: sialic acids from the host are transferred to the cell surface glycoproteins of the trypanosome, thereby evading the host's immune system.

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Article Synopsis
  • TrSA and TcTS, both part of the glycoside hydrolase family 33, have a 70% sequence identity but catalyze different reactions: TcTS transfers sialic acid, while TrSA cleaves it from glycoconjugates.
  • Significant research focuses on understanding their differences and enhancing TrSA's function through targeted mutations to achieve trans-sialidase activity.
  • Recent studies calculated the free-energy change for the covalent intermediate formation in both TrSA and a mutant (TrSA5mut), leading to proposals for additional mutations to create an improved variant (TrSA10mut) with higher trans-sialidase activity.
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Article Synopsis
  • TcTS is an essential enzyme for Trypanosoma cruzi, facilitating Chagas' disease infection by transferring sialic acids from the host to the parasite.
  • Recent experiments revealed a key covalent intermediate in its catalytic process, indicating strong nucleophilic involvement, particularly from the amino acid Tyr342.
  • The study enhances the understanding of TcTS's mechanism and may inform the design of future inhibitors against the enzyme.
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  • Trans-sialidase is a key enzyme in Trypanosoma cruzi that helps the parasite evade the host's immune system by transferring sialic acids from host cells to its own surface.
  • Elaborate studies revealed a unique catalytic mechanism involving a covalent intermediate and a Tyr/Glu pair, requiring proton transfer in a stabilized environment.
  • Computational analysis shows that this proton transfer occurs in the trans-sialidase active site after substrate binding, providing insights into the enzyme’s catalytic behavior.
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  • Obtained AMBER94 force-field parameters for TTQ cofactor in the enzyme methylamine dehydrogenase (MADH), which catalyzes the conversion of methylamine to formaldehyde and ammonia.
  • Conducted molecular dynamics simulations to explore the dynamics of MADH's active site, focusing on the proton transfer from the methyl group to the Asp76 residue.
  • Determined that only one oxygen atom of Asp76 can accept the proton, while the distance for proton transfer varies, peaking between 1.0 and 1.1 Å, indicating complex fluctuations in the dynamics of the system.
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