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Parisi, G.

Publications and source records attributed to Parisi, G..

At least 19 recordsLinked to original sources

Transposable elements as evolutionary substrates of proteindisorder in the human proteome

Intrinsically disordered regions (IDRs) are central contributors to protein function, evolution and human disease, yet the evolutionary routes that seed new disordered segments within pre-existing proteins are still poorly understood. Sequence insertions provide a powerful mechanism for disorder expansion, but the genomic donors of inserted IDR and its long-term conformational fate remain largely unknown. Transposable elements (TEs), abundant mobile genetic elements with distinctive compositional biases, represent compelling candidates for generating disorder within proteins. Here, we systematically mapped TE-derived segments across human proteins and isoforms, and we found that these insertions are strongly enriched in intrinsic disorder. The structural consequences of their insertion are shaped by TE class and family, reflecting the sequence biases of the elements from which they originate. Recent, Primate-specific insertions preferentially generate disordered segments, whereas older insertions more frequently occupy ordered structural contexts, revealing an age-dependent transition in the conformational state of TE-derived sequences. TE-containing isoforms are expressed at lower levels than TE-free isoforms, particularly when insertions are young and disorder-rich, suggesting that intrinsic disorder may constrain the cellular tolerance of newly exonized sequences. These findings identify TEs as a major evolutionary mechanism linking genome mobility to the emergence of new disordered conformational ensembles in the human proteome.

bioinformatics↗

BAV-LLPS: A database of bacterial, archaea and virus liquid-liquid phase separation proteins

Liquid-liquid phase separation (LLPS) is a key process underlying the formation of biomolecular condensates (BMCs), such as membrane-less organelles (MLOs), that compartmentalize biochemical processes inside the cells. While LLPS has been extensively studied in eukaryotes, its role in bacteria, archaea, and viruses remains far less characterized. Recent studies in bacteria have revealed that LLPS-driven condensates play critical roles in RNA processing, stress response, and pathogenicity. Similarly, many viruses exploit LLPS to facilitate crucial steps in their infection cycles, including viral entry, genome replication, assembly, and host immune evasion. In this work, we introduce a hand-curated database of LLPS proteins from bacteria, archaea, and viruses (BAV-LLPS Database). This resource, extended through sequence similarity searches, comprises over 5,000 proteins and integrates diverse data including biological annotations, sequence features, predicted disordered regions, LLPS per site probability, and AlphaFold2-based structural models. Additionally, our web server enables users to explore both the curated and homologous derived datasets, providing a platform to uncover evolutionary relationships and intrinsic and differential properties of LLPS proteins across various taxonomic groups. This work seeks to deepen our understanding of LLPS mechanisms beyond eukaryotic organisms, emphasizing their significance across diverse life forms. It also aims to foster the development of specialized predictive tools that will facilitate the exploration and characterization of LLPS processes in a wide array of living organisms, thereby contributing to advancements in both fundamental biological research and applied biomedical sciences. Availability and ImplementationBAV-LLPS DB is freely accessible at https://bav-llps-db.bioinformatica.org/. The data can be retrieved from the website. The source code of the database can be downloaded from https://bav-llps-db.bioinformatica.org/download Contactgusparisi@gmail.com and gboccaccio@leloir.org.ar

bioinformatics↗

Molecular dynamics reveals a novel Regulatory Ca+2-Binding Site in the Mitochondrial Calcium Uniporter

The mitochondrial Ca{superscript 2} uniporter (MCU) channel is essential for energy production, cytosolic Ca{superscript 2} signalling, and regulation of cell death. Its activity is regulated by the core proteins MICU1 and MICU2, which respond to intracellular Ca{superscript 2} levels. In cardiomyocytes, MICU1 inhibits mtMCU activity at basal Ca{superscript 2}, with Ca{superscript 2}-binding relieving this inhibition via a conformational change. However, the precise molecular basis for this dual regulation is unclear. While twelve MICU1 structures exist, each is approximately 30% of their structure missing, omitting key flexible regions and limits the understanding of the Ca{superscript 2}-sensing mechanism. Here, we provide structural and computational evidence to address this gap. Using structural modelling, molecular dynamics simulations, and large-scale sequence analysis, we investigate MICU1s Ca{superscript 2} binding sites from both conformational and evolutionary perspectives. Simulations based on human MICU1 models revealed a previously uncharacterized pseudo-EF-hand (pEF-h) motif. Our findings indicate that this motif functions as an early Ca{superscript 2} sensor, triggering conformational transitions, including shifts in surface charge distribution and isoelectric point, that prime the canonical EF-hand sites for subsequent binding. This hierarchical activation mechanism refines MICU1s on-off regulation of the MCU. To link this mechanism to experimental observations, we simulated a series of point and double mutants targeting the pEF-h, EF-h1, and EF-h2 sites. Our simulations demonstrate that double mutants disrupt Ca{superscript 2} binding not only within the mutated site but also reduce the occupation of the other sites, reaffirming the cooperative nature of Ca{superscript 2} sensing in MICU1. The biological relevance of the EF-hand motifs would be supported by its evolutionary conservation. Therefore, we analysed the evolutionary shaping of MICU1 EF-hand motifs across major eukaryotic lineages using clustering analysis and found strong lineage-specific segregation: canonical DXN/DXD-type motifs predominated in EF-h1 and EF-h2 in plants and protists, while non-canonical EXE(X)DEG(X)E motifs were exclusive to Opisthokonts, coinciding with the emergence of the auxiliary subunit EMRE. This pattern suggests that high-affinity Ca{superscript 2} binding evolved in parallel with increasing regulatory complexity in metazoans. Together, these findings support previous research linking EF-hand function as sensors to specialised Ca{superscript 2} gatekeepers in multicellular lineages. By integrating structural and evolutionary perspectives, our study provides mechanistic insight into how MICU1 can act as a Ca{superscript 2}-dependent molecular switch, clarifying the cooperative and threshold-setting behaviour underlying its regulatory role in mitochondrial Ca{superscript 2} uptake. HighlightsO_LIThe hierarchical activation mechanism refines MICU1s on-off regulation of the MCU. C_LIO_LIA novel Ca{superscript 2}-binding site in human MICU1, featuring a unique helix-loop-{beta}-sheet structure, was identified and functionally characterized. C_LIO_LIThis new Ca{superscript 2}-binding site in MICU1 acts as an early sensor, triggering structural changes key to its regulatory function. C_LIO_LICa{superscript 2}-binding motif distributions and phylogenetic constraints indicate possible functional divergence. C_LI

bioinformatics↗

The role of extra-striate areas in conscious motor behavior: a registered report with Fast-Optical Imaging

Disclosing the brain areas responsible for the emergence of visual awareness and their timing of activation represents one of the major challenges in consciousness research. In particular, isolating the neural processes strictly related to consciousness from concurrent neural dynamics either related to prerequisites or post-perceptual processing has long engaged consciousness research. In this framework, the present study aims at unravelling the spatio-temporal dynamics underlying conscious vision by adopting a distinctive experimental design in which both awareness and motor response are manipulated, allowing the segregation of neural activity strictly related to awareness from response-related mechanisms. To this aim, we will employ a GO/NOGO detection task, in which participants will respond or withhold responding according to the experimental condition. Critically, during the performance of the task, participants brain activity will be recorded by means of Event-Related Optical Signal (EROS) technique, which provides accurate information about brain functions both from the temporal and spatial point of view, simultaneously. The combination of this experimental design with EROS recording will enable us to pinpoint the neural correlates underlying conscious vision and to disentangle them from processes related to the response. In addition, by coupling conventional EROS analysis with Granger Causality analysis, we will be able to clarify the potential interplay between consciousness-related extra-striate areas and response-related motor areas.

neuroscience↗

Ghost interactions: revealing missing protein-ligand interactions using AlphaFold predictions

Protein-ligand interactions represent an essential step in understanding molecular recognition, an intense field of research for many scientific areas. Structural biology has played a central role in unveiling protein-ligand interactions, but current techniques are still not able to reliably describe the interactions of ligands with highly flexible regions. In this work we explored the capacity of AlphaFold2 (AF2) to estimate the presence of interactions between ligands and residues belonging to disordered regions, which we called "ghost interactions" as they are missing in the crystallographic derived structures. We found that AF2 models are good predictors of regions associated with order-disorder transitions. Additionally, we found that AF2 predicts residues making ghost interactions with ligands, which are mostly buried and show a differential evolutionary conservation. Our findings could fuel current areas of research that consider intrinsically disordered proteins as potentially valuable targets for drug development, given their biological relevance and associated diseases.

bioinformatics↗

Evolutionary rates in human amyloid proteins reveal their intrinsic metastability

The emerging picture of protein nature reveals its intrinsic metastability. According to this idea, although a protein is kinetically trapped in a local free energy minimum that defines its native state, those kinetic barriers can be overcome by a complex mixture of the proteins intrinsic properties and environmental conditions, promoting access to more stable states such as the amyloid fibril. Proteins that are strongly driven towards aggregation in the form of these fibrils are called amyloidogenic. In this work we study the evolutionary rates of 81 human proteins for which an in vivo amyloid state is supported by experiment-based evidence. We found that these proteins evolve faster when compared with a large dataset of [~]16,000 reference proteins from the human proteome. However, their evolutionary rates were indistinguishable from those of secreted proteins that are already known to evolve fast. After analyzing different parameters that correlate with evolutionary rates, we found that the evolutionary rates of amyloidogenic proteins could be modulated by factors associated with metastable transitions such as supersaturation and conformational diversity. Our results showcase the importance of protein metastability in evolutionary studies.

evolutionary biology↗

CaviDB: a database of cavities and their features in the structural and conformational space of proteins

Proteins are the functional and evolutionary units of cells. On their surface, proteins are sculpted into numerous concavities and bulges, offering unique microenvironments for ligand binding or catalysis. The dynamics, size, and chemical features of these cavities are essential for the mechanistic understanding of protein function. Here we present CaviDB (https://www.cavidb.org), a novel database of cavities and their features in known protein structures, which integrates the results from commonly used software for cavities detection with protein features obtained from sequence, structure, and function analyses. Additionally, each protein in CaviDB is associated with its corresponding conformers which help to analyze conformational changes in cavities as well. We were able to characterize a total number of 16,533,339 cavities, 62,0431 of them predicted as druggable targets. CaviDB contains 276,432 different proteins, with information about all their conformers. It also offers the capability to compare cavities and their features from different conformational states of the protein. Furthermore, we have recently added the available models from the AlphaFold database versions 2 and 3, which allow further cavity explorations and comparisons. Each entry information is organized in sections, highlighting the general cavities descriptors, including the inter-cavities contacts, activated residues per cavity, the information about druggable cavities, and the global protein descriptors. The data retrieved by the user can be downloaded in a format that is easy to parse and integrate with custom pipelines for protein analysis. CaviDB aims to offer a comprehensive database for use not only in different aspects of drug design and discovery but also to better understand the basis of the protein structure-function relationship better. With its unique approach, CaviDB provides an essential resource for the wide community of bioinformaticians in particular and biologists in general.

bioinformatics↗

Few amino acid mutations in H6 influenza A virus from South American lineage increase pathogenicity in poultry

In chickens, infections with influenza A virus (IAV) can range from mild to severe and lethal. The study of IAV infections in poultry has been mostly limited to strains from the North American and Eurasian lineages, whereas limited information exists on similar studies with strains from the South American lineage (SAm). To better evaluate the risk of introduction of a prototypical SAm IAV strain into poultry, chickens were infected with a wild-type SAm origin strain (WT557/H6N2). The resulting virus progeny was serially passage in chickens 20 times and the immunopathological effects in chickens of the last passage virus, 20Ch557/H6N2, was compared to those of the parental strain. Comparison of complete viral genome sequences indicated that the 20Ch557/H6N2 strain contained 13 amino acid differences compared to the wild type strain. Five of these mutations are in functionally relevant regions of the viral surface glycoproteins hemagglutinin (HA) and neuraminidase (NA). However, despite higher and more prolonged virus shedding in chickens inoculated with the 20Ch557/H6N2 strain compared to those that received the WT557/H6N2 strain, transmission to naive chickens was not observed for either group. Analyses by flow cytometry of mononuclear cells and lymphocyte subpopulations from the lamina propria and intraepithelial lymphocytic cells (IELs) from ileum revealed significant increase in the percentages of CD3+TCR{gamma}{delta}+ IELs in chickens inoculated with the 20Ch557/H6N2 strain compared to those inoculated with the WT557/H6N2 strain.

microbiology↗

CoDNaS-Q: a database of conformational diversity of the native state of proteins with quaternary structure

SummaryA collection of conformers that exist in a dynamical equilibrium defines the native state of a protein. The structural differences between them describe their conformational diversity, a defining characteristic of the protein with an essential role in multiple cellular processes. Since most proteins carry out their functions by assembling into complexes, we have developed CoDNaS-Q, the first online resource to explore conformational diversity in homooligomeric proteins. It features a curated collection of redundant protein structures with known quaternary structure. CoDNaS-Q integrates relevant annotations that allow researchers to identify and explore the extent and possible reasons of conformational diversity in homooligomeric protein complexes. Availability and implementationCoDNaS-Q is freely accessible at http://ufq.unq.edu.ar/codnasq/. The data can be retrieved from the website. The source code of the database can be downloaded from https://github.com/SfrRonaldo/codnas-q. Contactnpalopoli@unq.edu.ar

bioinformatics↗

Impact of protein conformational diversity on AlphaFold predictions

After the outstanding breakthrough of AlphaFold in predicting protein 3D models, new questions appeared and remain unanswered. The ensemble nature of proteins, for example, challenges the structural prediction methods because the models should represent a set of conformers instead of single structures. The evolutionary and structural features captured by effective deep learning techniques may unveil the information to generate several diverse conformations from a single sequence. Here we address the performance of AlphaFold2 predictions under this ensemble paradigm. Using a curated collection of apo-holo conformations, we found that AlphaFold2 predicts the holo form of a protein in 70% of the cases, being unable to reproduce the observed conformational diversity with an equivalent error than in the estimation of a single conformation. More importantly, we found that AlphaFold2s performance worsens with the increasing conformational diversity of the studied protein. This impairment is related to the heterogeneity in the degree of conformational diversity found between different members of the homologous family of the protein under study. Finally, we found that main-chain flexibility associated with apo-holo pairs of conformers negatively correlates with the predicted local model quality score plDDT, indicating that plDDT values in a single 3D model could be used to infer local conformational changes linked to ligand binding transitions.

bioinformatics↗

CardIAP: Calcium images analyzer web application

MotivationIonic calcium (Ca2+) plays the role of the second messenger in eukaryotic cells associated with cellular functions of regulation of the cell cycle, such as transport, motility, gene expression, and metabolism (Permyakov and Kretsinger, 2009). The use of fluorometric techniques in isolated cells, loaded with Ca2+ sensitive fluorescent probes allows the quantitative measurement of dynamic events that occur in living, functioning cells. The Cardiomyocytes Images Analyzer Application (CardIAP) covers the need for tools to analyze and retrieve information from confocal microscopy images, in a systematic, accurate, and fast way. ResultsHere we present the CardIAP web app, an automated method for the identification of spatio-temporal patterns in a calcium fluorescence imaging sequence. Through this tool, users can analyze single or multiple Ca2+ transients from confocal line-scan images and obtain quantitative information on the dynamic response of the stimulated myocyte. Our web application also allows the user the extraction of data on calcium dynamics in downloadable tables and plots, simplifying the calculation of the alternation and discordance indices and their classification. CardIAP could assist in studying the underlying mechanisms of anomalous calcium release phenomena. Availability and implementationCardIAP is an open-source app, entirely developed in Python, which can be freely accessed and used at http://cardiap.herokuapp.com/.

bioinformatics↗

Structural and evolutionary analysis unveil functional adaptations in the promiscuous behavior of serum albumins

Promiscuous activities have been related to the capacity to catalyze reactions different from those a protein has evolved to sustain. From this evolutionary perspective, we rethought the serum albumins promiscuous behavior. We found that the cross aldol condensation of acetone and p-formylbenzonitrile is a promiscuous reaction conserved in humans and other mammals. Structural and evolutionary analysis indicates that the involved residues could have evolved for a still unknown biological function. Our results could contribute to better characterize the serum albumin family and raise questions about the evolution of protein promiscuity and function.

bioinformatics↗

Inferring the stabilization effects of SARS-CoV-2 variants on the binding with ACE2 receptor

With the progression of the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) pandemic, several variants of the virus are emerging with mutations distributed all over the viral sequence. While most of them are expected to have little to no effects at the phenotype level, some of these variants presenting specific mutations on the Spike protein are rapidly spreading, making urgent the need of characterizing their effects on phenotype features like contagiousness and antigenicity. With this aim, we performed extensive molecular dynamics simulations on a selected set of possible Spike variants in order to assess the stabilizing effect of particular amino acid substitutions, with a special focus on the mutations that are both characteristic of the top three most worrying variants at the moment, i.e the English, South African and Amazonian ones, and that occur at the molecular interface between SARS-CoV-2 Spike protein and its human ACE2 receptor. We characterize these variants effect in terms of (i) residues mobility, (ii) compactness, studying the network of interactions at the interface, and (iii) variation of shape complementarity via expanding the molecular surfaces in the Zernike basis. Overall, our analyses highlighted greater stability of the three variant complexes with respect to both the wild type and two negative control systems, especially for the English and Amazonian variants. In addition, in the three variants, we investigate the effects a not-yet observed mutation in position 501 could provoke on complex stability. We found that a phenylalanine mutation behaves similarly to the English variant and may cooperate in further increasing the stability of the South African one, hinting at the need for careful surveillance for the emergence of such kind of mutations in the population. Ultimately, we show that the observables we propose describe key features for the stability of the ACE2-spike complex and can help to monitor further possible spike variants.

biophysics↗

CoDNaS-RNA: a database of Conformational Diversity in the Native State of RNA

Conformational changes in RNA native ensembles are central to fulfill many of their biological roles. Systematic knowledge of the extent and possible modulators of this conformational diversity is desirable to better understand the relationship between RNA dynamics and function. We have developed CoDNaS-RNA as the first database of conformational diversity in RNA molecules. Known RNA structures are retrieved and clustered to identify alternative conformers of each molecule. Pairwise structural comparisons within each cluster allows to measure the variability of the molecule. Additional data on structural features, molecular interactions and functional annotations are provided. CoDNaS-RNA is implemented as a public resource that can be of much interest for computational and bench scientists alike. AvailabilityCoDNaS-RNA is freely accessible at http://ufq.unq.edu.ar/codnasrna Contactnpalopoli@unq.edu.ar

bioinformatics↗

Intrinsically disordered protein ensembles shape evolutionary rates revealing conformational patterns

Intrinsically disordered proteins (IDPs) lack stable tertiary structure under physiological conditions. The unique composition and complex dynamical behaviour of IDPs make them a challenge for structural biology and molecular evolution studies. Using NMR ensembles, we found that IDPs evolve under a strong site-specific evolutionary rate heterogeneity, mainly originated by different constraints derived from their inter-residue contacts. Evolutionary rate profiles correlate with the experimentally observed conformational diversity of the protein, allowing the description of different conformational patterns possibly related to their structure-function relationships. The correlation between evolutionary rates and contact information improves when structural information is taken not from any individual conformer or the whole ensemble, but from combining a limited number of conformers. Our results suggest that residue contacts in disordered regions constrain evolutionary rates to conserve the dynamic behaviour of the ensemble and that evolutionary rates can be used as a proxy for the conformational diversity of IDPs. Significance StatementIntrinsically disordered proteins (IDPs) challenge the structure-function relationship paradigm. In this work we found that individual sites of IDPs evolve under a strong rate heterogeneity, mainly due to the structural constraints imposed by contacts between their residues. This can be better explained if the contacts are taken from selected subsets of their alternative native conformations, rather than from individual conformations or the whole native ensemble. From an evolutionary point of view, this result indicates that experimentally-based ensembles are redundant. We also observed that the evolutionary rates follow the structural variability between conformers, unveiling conformational preferences. Our results set the stage for establishing novel evolutionary-based methods to study IDP ensembles.

bioinformatics↗

ProtMiscuity: a database of promiscuous proteins

SummaryProtMiscuity is a manually-curated database of promiscuous proteins. It is annotated with information about canonical and promiscuous activities comprising 88 different reactions in 57 proteins from 40 organisms. ProtMiscuity could assist in the study of the underlying mechanisms of promiscuous reactions by offering a collection of experimentally derived data, extensively linked with other databases providing biological, structural and functional information.\n\nAvailability and ImplementationThe responsive web interface of ProtMiscuity provides support for easier navigation and visualization of the database contents on multiple devices. It is implemented in HTML, CSS, JavaScript, Angular4 and NodeJS. ProtMiscuity is hosted on our server and can be freely accessed at http://ufq.unq.edu.ar/protmiscuity\n\nContactGustavo Parisi (gustavo@unq.edu.ar)

bioinformatics↗

Ensembles from ordered and disordered proteins reveal similar structural constraints during evolution

Inter-residue contacts determine the structural properties for each conformer in the ensembles describing the native state of proteins. Structural constraints during evolution could then provide biologically relevant information about the conformational ensembles and their relationship with protein function. Here, we studied the proportion of sites evolving under structural constraints in two very different types of ensembles, those coming from ordered or disordered proteins. Using a structurally constrained model of protein evolution we found that both types of ensembles show comparable, near 40%, number of positions evolving under structural constraints. Among these sites, ~68% are in disordered regions and ~57% of them show long-range inter-residue contacts. Also, we found that disordered ensembles are redundant in reference to their structurally constrained evolutionary information and could be described on average with ~11 conformers. Despite the different complexity of the studied ensembles and proteins, the similar constraints reveal a comparable level of selective pressure to maintain their biological functions. These results highlight the importance of the evolutionary information to recover meaningful biological information to further characterize conformational ensembles.

bioinformatics↗

How is structural divergence related to evolutionary information?

Conservation and covariation measures, as other evolutionary analysis, require a high number of distant homologous sequences, therefore a lot of structural divergence can be expected in such divergent alignments. However, most works linking evolutionary and structural information use a single structure ignoring the structural variability inside a protein family. That common practice seems unrealistic to the light of this work.\n\nIn this work we studied how structural divergence affects conservation and covariation estimations. We uncover that, within a protein family, ~51% of multiple sequence alignment columns change their exposed/buried status between structures. Also, ~53% of residue pairs that are in contact in one structure are not in contact in another structure from the same family. We found out that residue conservation is not directly related to the relative solvent accessible surface area of a single protein structure. Using information from all the available structures rather than from a single representative structure gives more confidence in the structural interpretation of the evolutionary signals. That is particularly important for diverse multiple sequence alignments, where structures can drastically differ. High covariation scores tend to indicate residue contacts that are conserved in the family, therefore, are not suitable to find protein/conformer specific contacts.\n\nOur results suggest that structural divergence should be considered for a better understanding of protein function, to transfer annotation by homology and to model protein evolution.

bioinformatics↗