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Dal Peraro, M.

Publications and source records attributed to Dal Peraro, M..

33 records · Page 2Linked to original sources

G-PLIP: Knowledge graph neural network for structure-free protein-ligand affinity prediction

Protein-ligand interaction (PLI) shapes efficacy and safety profiles of small molecule drugs. Existing methods rely on either structural information or resource-intensive computation to predict PLI, making us wonder whether it is possible to perform structure-free PLI prediction with low computational cost. Here we show that a light-weight graph neural network (GNN), trained with quantitative PLIs of a small number of proteins and ligands, is able to predict the strength of unseen PLIs. The model has no direct access to structural information of protein-ligand complexes. Instead, the predictive power is provided by encoding the entire chemical and proteomic space in a single heterogeneous graph, encapsulating primary protein sequence, gene expression, protein-protein interaction network, and structural similarities between ligands. The novel model performs competitively with or better than structure-aware models. Our observations suggest that existing PLI-prediction methods may be further improved by using representation learning techniques that embed biological and chemical knowledge.

bioinformatics↗

A humoral stress response protects Drosophila tissues from antimicrobial peptides

The immune response against an invading pathogen is generally associated with collateral tissue damage caused by the immune system itself. Consequently, several resilience mechanisms have evolved to attenuate the negative impacts of immune effectors. Antimicrobial peptides (AMPs) are small, cationic peptides that contribute to innate defenses by targeting negatively charged membranes of microbes1, 2. While being protective against pathogens, AMPs can be cytotoxic to host cells1, 3. Little is known of mechanisms that protect host tissues from AMP-induced immunopathology. Here, we reveal that a family of stress-induced proteins, the Turandots4, 5, protect Drosophila host tissues from AMPs, increasing resilience to stress. Deletion of several Turandot genes increases fly susceptibility to environmental stresses due to trachea apoptosis and poor oxygen supply. Tracheal cell membranes expose high levels of phosphatidylserine, a negatively charged phospholipid, sensitizing them to the action of AMPs. Turandots are secreted from the fat body upon stress and bind to tracheal cells to protect them against AMPs. In vitro, Turandot A binds to phosphatidylserine on membranes and inhibits the pore-forming activity of Drosophila and human AMPs on eukaryotic cells without affecting their microbicidal activity. Collectively, these data demonstrate that Turandot stress proteins mitigate AMP cytotoxicity to host tissues and therefore improve their efficacy. This provides a first example of a humoral mechanism used by animals limiting host-encoded AMP collateral damages.

immunology↗

Context-aware geometric deep learning for protein sequence design

Protein design and engineering are evolving at an unprecedented pace leveraging the advances of deep learning. Current models nonetheless cannot natively consider non-protein entities within the design process. Here we introduce a deep learning approach based solely on a geometric transformer of atomic coordinates that predicts protein sequences from backbone scaffolds aware of the restraints imposed by diverse molecular environments. This new concept is anticipated to improve the design versatility for engineering proteins with desired functions.

biochemistry↗

MaD: Macromolecular Descriptors for Integrative Dynamic Modeling Supported by Cryo-EM Data

The determination of atomic structures of large flexible systems remains a challenging task despite the recent advances in cryo-electron microscopy (cryo-EM) and de novo protein structure prediction. Few hybrid methods truly consider dynamics because deriving appropriate conformational ensembles and scoring functions robust to conformational differences is not trivial. We present here Macromolecular Descriptors (MaD) which, inspired by traditional computer vision concepts, remedies some of these limitations. MaD identifies feature points and encodes local structural information around them into resolution- and conformation-invariant descriptors. Efficient matching of descriptors from cryo-EM densities at low and medium resolution with those of high-resolution component structures yields a robust and accurate assembly prediction that does not require other experimental or computational input. Fast, scalable and easy to use, this method is able to incorporate native dynamic features as extracted from molecular simulations and identify the models that best match the target electron density. Therefore, MaD addresses some of the unanswered needs of the community in terms of the integrative modeling of large and flexible macromolecular complexes.

bioinformatics↗

PeSTo: parameter-free geometric deep learning for accurate prediction of protein interacting interfaces

Predicting the interactions that a protein can establish with other molecules from its structure remains a major challenge. As shown by recent applications to tertiary structure prediction and opposite to current mainstream methods for interaction interface prediction, low-level, geometry-based, physicochemical-agnostic representations of structures have several advantages over methods that require pre-calculation of surfaces, charges, hydrophobicity, and other kinds of parameterizations. Here we introduce a new geometric transformer that acts directly on protein atoms labelled with nothing more than element names. The resulting model outperforms the state of the art for the prediction of protein-protein interaction interfaces and distinguishes interfaces with nucleic acids, lipids, small molecules and ions with high confidence. The low computational cost of this method (available online at https://pesto.epfl.ch/) enables processing high volumes of structural data, such as molecular dynamics trajectories allowing the discovery of interfaces that remain inconspicuous in static experimentally solved structures.

bioinformatics↗

Structure and functionality of a multimeric human COQ7:COQ9 complex

Coenzyme Q (CoQ, ubiquinone) is a redox-active lipid essential for core metabolic pathways and antioxidant defense. CoQ is synthesized upon the mitochondrial inner membrane by an ill-defined complex Q metabolon. Here we present a structure and functional analyses of a substrate- and NADH-bound oligomeric complex comprised of two complex Q subunits: the hydroxylase COQ7, which performs the penultimate step in CoQ biosynthesis, and the prenyl lipid-binding protein COQ9. We reveal that COQ7 adopts a modified ferritin-like fold with an extended hydrophobic access channel whose substrate binding capacity is enhanced by COQ9. Using molecular dynamics simulations, we further show that two COQ7:COQ9 heterodimers form a curved tetramer that deforms the membrane, potentially opening a pathway for CoQ intermediates to translocate from within the bilayer to the proteins lipid-binding sites. Two such tetramers assemble into a soluble octamer, closed like a capsid, with lipids captured within. Together, these observations indicate that COQ7 and COQ9 cooperate to access hydrophobic precursors and coordinate subsequent synthesis steps toward producing mature CoQ.

biochemistry↗

Specific protein-membrane interactions promote the export of metallo-β-lactamases via outer membrane vesicles

Outer membrane vesicles (OMVs) act as carriers of resistance determinants such as metallo-{beta}-lactamases. The metallo-{beta}-lactamase NDM-1 is present in OMVs produced by Gram-negative bacteria since it is a lipidated, membrane-anchored protein. The soluble domain of NDM-1 also forms electrostatic interactions with the membrane. Herein, we show that these interactions promote its export into OMVs produced by Escherichia coli. We report that favorable electrostatic protein-membrane interactions are also at work in the soluble enzyme IMP-1, while being absent in VIM-2. These interactions correlate with an enhanced secretion into OMVs of IMP-1 compared to VIM-2. Disruption of these interactions in NDM-1 and IMP-1 impairs export into vesicles, confirming their role in defining the protein cargo in OMVs. These results also indicate that export of metallo-{beta}-lactamases into vesicles in their active form is a common phenomenon that involves cargo selection based on molecular features.

molecular biology↗

S-acylation controls SARS-Cov-2 membrane lipid organization and enhances infectivity

SARS-CoV-2 virions are surrounded by a lipid bilayer which contains membrane proteins such as Spike, responsible for target-cell binding and virus fusion, the envelope protein E and the accessory protein Orf3a. Here, we show that during SARS-CoV-2 infection, all three proteins become lipid modified, through action of the S-acyltransferase ZDHHC20. Particularly striking is the rapid acylation of Spike on 10 cytosolic cysteines within the ER and Golgi. Using a combination of computational, lipidomics and biochemical approaches, we show that this massive lipidation controls Spike biogenesis and degradation, and drives the formation of localized ordered cholesterol and sphingolipid rich lipid nanodomains, in the early Golgi where viral budding occurs. ZDHHC20-mediated acylation allows the formation of viruses with enhanced fusion capacity and overall infectivity. Our study points towards S-acylating enzymes and lipid biosynthesis enzymes as novel therapeutic anti-viral targets.

cell biology↗

Investigating crosstalk among PTMs provides novel insight into the structural basis underlying the differential effects of Nt17 PTMs on mutant Httex1 aggregation

Post-translational modifications (PTMs) within the first 17 amino acids (Nt17) of the Huntingtin protein (Htt) have been shown to inhibit the aggregation and attenuate the toxicity of mutant Htt proteins in vitro and in various models of Huntingtons disease. Our groups previous studies suggested that the Nt17 PTM code is a combinatorial code that involves a complex interplay between different PTMs. Here, we expand on these studies by investigating the effect of methionine 8 oxidation (oxM8) and crosstalk between this PTM and either lysine 6 acetylation (AcK6) or threonine 3 phosphorylation (pT3) on the aggregation of mutant Httex1. We show that M8 oxidation delays but does not inhibit the aggregation and has no effect on the final morphologies of mutant Httex1 aggregates. This delay in aggregation kinetics could be attributed to the transient accumulation of oligomeric aggregates, which disappear upon the formation of Httex1 oxM8 fibrils. Interestingly, the presence of both oxM8 and AcK6 resulted in dramatic inhibition of Httex1 fibrillization, whereas the presence of oxM8 did not influence the aggregation inhibitory effect of pT3. To gain insight into the structural basis underlying these proteins aggregation properties, we investigated the impact of each PTM and the combination of these PTMs on the conformational properties of the Nt17 peptide by circular dichroism spectroscopy and molecular dynamics simulation. These studies show that M8 oxidation decreases the helicity of the Nt17 in the presence or absence of PTMs and provides novel insight into the structural basis underlying the effects of different PTMs on mutant Httex1 aggregation. PTMs that lower the mutant Httex1 aggregation rate (oxM8, AcK6/oxM8, pT3, pT3/oxM8, and phosphorylation at Serine 13) result in stabilization and increased population of a short N-terminal helix (first eight residues) in Nt17 or decreased abundance of other helical forms, including long helix and short C-terminal helix. PTMs that did not alter the aggregation of mutant Httex1 exhibit a similar distribution of helical conformation as the unmodified peptides. These results show that the relative abundance of N- vs. C-terminal helical conformations and long helices, rather than the overall helicity of Nt17, better explains the effect of different Nt17 PTMs on mutant Httex1; thus, explaining the lack of correlation between the effect of PTMs on the overall helicity of Nt17 and mutant Httex1 aggregation in vitro. Taken together, our results provide novel structural insight into the differential effects of single PTMs and crosstalk between different PTMs in regulating mutant Httex1 aggregation. TOC Figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=133 SRC="FIGDIR/small/432155v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@15dbf84org.highwire.dtl.DTLVardef@1c8a50corg.highwire.dtl.DTLVardef@1cbe0c6org.highwire.dtl.DTLVardef@120e0a_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

Molecular mode of action of an Acyl Protein thioesterase

Many biochemical reactions occur at the membrane interfaces. The proper control of these reactions requires spatially and temporally controlled recruitment of protein complexes. These assemblies are largely regulated by post-translational modifications and a frequent one is S-acylation, which consists of the addition of medium length acyl chains. Reversibility of this modification is ensured by acyl protein thioesterases (APTs), which are poorly understood enzymes. Using a combination of computational, structural, biochemical, and cellular approaches, we dissect the mode of action of a major cellular thioesterase, APT2 (LYPLA2). We show that for APT2 to encounter its targets, it must interact with membranes by two consecutive steps, the insertion of a hydrophobic loop and subsequent S-acylation by the ZDHHC3 or ZDHHC7 palmitoyltransferases. Once bound, APT2 deforms the lipid bilayer to extract the acyl chain bound to its substrate, capturing it in a hydrophobic pocket and allowing hydrolysis. Deacylation releases APT2, allowing it to bind to other membranes, but also renders it vulnerable to ubiquitination and proteasomal degradation. This molecular understanding of APT2 paves the way to understand the dynamics of APT2-mediated depalmitoylation throughout the endomembrane system.

cell biology↗

Molecular Bases of the Membrane Association Mechanism Potentiating Antibiotic Resistance by New Delhi Metallo--Lactamase 1

Resistance to last-resort carbapenem antibiotics is an increasing threat to human health, as it critically limits therapeutic options. Metallo-{beta}-lactamases are the largest family of carbapenemases, enzymes that inactivate these drugs. Among MBLs, New Delhi metallo-{beta}-lactamase 1 has experienced the fastest and largest worldwide dissemination. This success has been attributed to the fact that NDM-1 is a lipidated protein anchored to the outer membrane of bacteria, while all other MBLs are soluble periplasmic enzymes. By means of a combined experimental and computational approach, we show that NDM-1 interacts with the surface of bacterial membranes in a stable, defined conformation, in which the active site is not occluded by the bilayer. Although the lipidation is required for a long-lasting interaction, the globular domain of NDM-1 is tuned to interact specifically with the outer bacterial membrane. In contrast, this affinity is not observed for VIM-2, a natively soluble MBL. Finally, we identify key residues involved in the membrane interaction of NDM-1, which constitute potential targets for developing therapeutic strategies able to combat resistance granted by this enzyme.

biochemistry↗

Btk SH2-kinase interface is critical for allosteric kinase activation and its targeting inhibits B-cell neoplasms

Brutons tyrosine kinase (Btk) is a key component for B-cell maturation and activation. Btk loss-of-function mutations cause human X-linked agammaglobulinemia (XLA). In contrast, constitutive Btk signaling drives several B-cell neoplasms, which may be treated with tyrosine kinase inhibitors (TKIs). Here, we uncovered the molecular mechanism by which a subset of XLA mutations in the SH2 domain strongly perturbs Btk activation. Using a combination of molecular dynamics (MD) simulations and small-angle X-ray scattering (SAXS), we discovered an allosteric interface between the SH2 and kinase domain to which multiple XLA mutations map and which is required for Btk activation. As allosteric interactions provide unique targeting opportunities, we developed an engineered repebody protein binding to the Btk SH2 domain and able to disrupt the SH2-kinase interaction. The repebody prevented activation of wild-type and TKI-resistant Btk, inhibited Btk-dependent signaling and proliferation of malignant B-cells. Therefore, the SH2-kinase interface is critical for Btk activation and a targetable site for allosteric inhibition.

cancer biology↗

The polyQ expansion modulates the configuration and phosphorylation of huntingtin

The polyQ-expansion at the N-terminus of huntingtin (HTT) is the prime cause of Huntingtons disease. The recent cryo-EM structure of HTT with HAP40 provides information on the proteins prominent HEAT-repeats. Here, we present analyses of the impact of polyQ-length on the conformation of HTT by cryo-EM, the domain-interactions by cross-linking mass spectrometry and the phosphorylation of HTT. The cryo-EM analysis of normal (Q23-) and disease (Q78-) type HTTs in their apo forms shows that the structures of apo HTTs significantly differ from the structure of HTT-HAP40, and that the polyQ expansion induces global structural changes consisting of significant domain movements of the C-HEAT domain relative to the N-HEAT domain. In addition, we show that the polyQ-expansion alters the phosphorylation pattern across the full-length HTT and that the specific phosphorylation (Ser2116p) in turn affects the global structure of HTT, which influences the activity of polyQ-expanded HTT. These results provide a molecular basis for the effect of the N-terminal polyQ segment on HTT structure and activity, that may be important for the cell-selective toxicity of mutant HTT.

neuroscience↗

KAP1 is an antiparallel dimer with a natively functional asymmetry

KAP1 (KRAB-domain associated protein 1) plays a fundamental role in regulating gene expression in mammalian cells by recruiting different transcription factors and altering the chromatin state. In doing so, KAP1 acts both as a platform for macromolecular interactions and as an E3 SUMO ligase. This work sheds light on the overall organization of the full-length protein combining solution scattering diffraction data, integrative modeling and single-molecule experiments. We show that KAP1 is an elongated antiparallel dimer with a native asymmetry at the C-terminal domain. This conformation supports our finding that the RING domain contributes to KAP1 auto-SUMOylation. Importantly, this intrinsic asymmetry has key functional implications for the KAP1 network of interactions, as the heterochromatin protein 1 (HP1) occupies only one of the two putative HP1 binding sites on the KAP1 dimer, resulting in an unexpected stoichiometry, even in the context of chromatin fibers.

biophysics↗

Conserved lipid and small molecule modulation of COQ8 reveals regulation of the ancient UbiB family

Human COQ8A (ADCK3) and Saccharomyces cerevisiae Coq8p (collectively COQ8) are UbiB family proteins essential for mitochondrial coenzyme Q (CoQ) biosynthesis. However, the biochemical activity of COQ8 and its direct role in CoQ production remain unclear, in part due to lack of known endogenous regulators of COQ8 function and of effective small molecules for probing its activity in vivo. Here we demonstrate that COQ8 possesses evolutionarily conserved ATPase activity that is activated by binding to membranes containing cardiolipin and by phenolic compounds that resemble CoQ pathway intermediates. We further create an analog-sensitive version of Coq8p and reveal that acute chemical inhibition of its endogenous activity in yeast is sufficient to cause respiratory deficiency concomitant with CoQ depletion. Collectively, this work defines lipid and small molecule modulators of an ancient family of atypical kinase-like proteins and establishes a chemical genetic system for further exploring the mechanistic role of COQ8 in CoQ biosynthesis.

biochemistry↗