Biology subjects

Tordai, H.

Publications and source records attributed to Tordai, H..

8 recordsLinked to original sources

bioRxiv2025

Flexible Motion of T7 bacteriophage Tail Fibers Suggest a Dynamic Viral Infection Mechanism

Viruses are nanoscale infectious agents capable of specifically targeting and reprograming host cells. A unique group of viruses, bacteriophages, have regained popularity in research partly due to the rising number of multidrug-resistant bacterial infections. Phages could potentially replace antibiotics, but only if we understand every detail of their structure and infection cycle. T7 bacteriophages are a group of dsDNA viruses, which infect E. coli bacteria. T7 virions are comprised of an icosahedral protein shell which encapsulates the genomic DNA, and a tail-fiber complex which is primarily used for target recognition and DNA injection. The virus has six" L"-shaped, [~]40 nm long fibers (gp17 protein trimers) attached to the tail-tube, which are thought to be essential for initial host recognition and possibly surface exploration. Using high-speed atomic force microscopy (HS-AFM) and molecular dynamics (MD) simulations combined with small angle X-ray scattering (SAXS) we observed the molecular structure and movements of isolated tail fibers. Firstly, we have identified a hinge region within the fibers, which makes them highly flexible, allowing the bending of their distal region. Furthermore, we have observed the dynamic triple helical coiled coil structure of the proximal region, which would allow fiber rotation. These two points of flexibility allow a more efficient and highly dynamic host recognition and virus anchoring process. The observed flexibility might allow host surface exploration by walking. Such flexibility in the host recognition machinery may not be unique to T7 bacteriophages, getting us one step closer to understanding the intricate details of virus-host interactions.

biophysics↗

bioRxiv2025

pLM-SAV: A Δ-Embedding Approach for Predicting Pathogenic Single Amino Acid Variants

Predicting whether single amino acid variants (SAVs) in proteins lead to pathogenic outcomes is a critical challenge in molecular biology and precision medicine. Experimental determination of all possible mutation effects is infeasible, and while state-of-the-art tools such as AlphaMissense show promise, their diagnostic performance is insufficient and they are often difficult to run locally. We developed pLM-SAV, a simple yet effective predictor that leverages protein language models (pLMs). {Delta}-embeddings, computed as the difference between wild-type and mutant sequence embeddings, are used as input for a convolutional neural network. To prevent data leakage, we trained our model on a well-characterized, labeled set of Eff10k and evaluated it on a non-homologous subset of ClinVar data. Our results demonstrate that this approach performs exceptionally well on the Eff10k test folds and reasonably on ClinVar test sets. Notably, pLM-SAV excels in resolving ambiguous predictions by AlphaMissense. We also found that an ensemble method, REVEL, outperforms both AlphaMissense and pLM-SAV, thus, we integrated these REVEL- enhanced predictions into our widely used AlphaMissense web application. Our results demonstrate that an SAV predictor trained on labeled data can achieve high predictive performance. Unlike previous methods such as VESPA, pLM-SAV uses no handcrafted features or substitution matrices, relying solely on pLM-derived representations. We anticipate that incorporating delta-embeddings into other mutation effect predictors or mutant structure prediction methods will further enhance their accuracy and utility in diverse biological contexts. Availability and ImplementationFreely available at https://doi.org/10.5281/zenodo.15502498 and https://alphamissense.hegelab.org.

bioinformatics↗

bioRxiv2023

Lightway access to AlphaMissense data that demonstrates a balanced performance of this missense mutation predictor

Single amino acid substitutions can profoundly affect protein folding, dynamics, and function, leading to potential pathological consequences. The ability to discern between benign and pathogenic substitutions is pivotal for therapeutic interventions and research directions. Given the limitations in experimental examination of these variants, AlphaMissense has emerged as a promising predictor of the pathogenicity of single nucleotide polymorphism variants. In our study, we assessed the efficacy of AlphaMissense across several protein groups, such as mitochondrial, housekeeping, transmembrane proteins, and specific proteins like CFTR, using ClinVar data for validation. Our comprehensive evaluation showed that AlphaMissense delivers outstanding performance, with MCC scores predominantly between 0.6 and 0.74. We observed low performance on the CFTR and disordered, membrane-interacting MemMoRF datasets. However, an enhanced performance with CFTR was shown when benchmarked against the CFTR2 database. Our results also emphasize that quality of AlphaFolds predictions can seriously influence AlphaMissense predictions. Most importantly, AlphaMissenses consistent capability in predicting pathogenicity across diverse protein groups, spanning both transmembrane and soluble domains was found. Moreover, the prediction of likely-pathogenic labels for IBS and CFTR coupling helix residues emphasizes AlphaMissenses potential as a tool for pinpointing functionally significant sites. Additionally, to make AlphaMissense predictions more accessible, we have introduced a user-friendly web resource (https://alphamissense.hegelab.org) to enhance the utility of this valuable tool. Our insights into AlphaMissenses capability, along with this online resource, underscore its potential to significantly aid both research and clinical applications.

bioinformatics↗

bioRxiv2023

TMPyP binding evokes a complex, tunable nanomechanical response in DNA

TMPyP is a porphyrin capable of DNA binding and used in photodynamic therapy and G-quadruplex stabilization. Despite its broad applications, the effect of TMPyP on DNA nanomechanics is unknown. Here we investigated, by manipulating {lambda}-phage DNA with optical tweezers combined with microfluidics, how TMPyP influences DNA nanomechanics across a wide range of TMPyP concentration (5-5120 nM), mechanical force (0-100 pN), NaCl concentration (0.01-1 M) and pulling rate (0.2-20 m/s). Complex responses were recorded, for the analysis of which we introduced a simple mathematical model. TMPyP binding leads to the lengthening and softening of dsDNA. dsDNA stability, measured as the force of DNAs overstretch transition, increased at low (<10 nM) TMPyP concentrations, then decreased progressively upon increasing TMPyP concentration. The cooperativity of the overstretch transition decreased, due most likely to mechanical roadblocks of ssDNA-bound TMPyP. TMPyP binding increased ssDNAs contour length. The addition of NaCl at high (1 M) concentration competed with many of the nanomechanical changes evoked by TMPyP. Because the largest amplitude of the nanomechanical changes are induced by TMPyP in the pharmacologically relevant nanomolar concentration range, this porphyrin derivative may be used to tune DNAs structure and properties, hence control the myriad of biomolecular processes associated with DNA.

biophysics↗

bioRxiv2023

SARS CoV-2 Envelope protein alters calcium signaling via SERCA interactions

The clinical management of severe COVID-19 cases is not yet well resolved. Therefore, it is important to identify and characterize cell signaling pathways involved in virus pathogenesis that can be targeted therapeutically. Envelope (E) protein is a structural protein of the virus, which is known to be highly expressed in the infected host cell and is a key virulence factor, however, its role is poorly characterized. The E protein is a single-pass transmembrane protein that can assemble into a pentamer forming a viroporin, perturbing Ca2+ homeostasis. Because it is structurally similar to regulins such as, for example, phospholamban, that regulate the sarco/endoplasmic reticulum calcium ATPases (SERCA), we investigated whether the SARS-CoV-2 E protein affects the SERCA system as an exoregulin. Using FRET experiments we demonstrate that E protein can form oligomers with regulins, and thus can alter the monomer/multimer regulin ratio and consequently influence their interactions with SERCAs. We also confirmed that a direct interaction between E protein and SERCA2b results in a decrease in SERCA-mediated ER Ca2+ reload. Structural modeling and molecular dynamics of the complexes indicates an overlapping interaction site for E protein and endogenous regulins. Our results reveal novel links in the host-virus interaction network that play an important role in viral pathogenesis and may provide a new therapeutic target for managing severe inflammatory responses induced by SARS-CoV-2.

cell biology↗

bioRxiv2023

Truncated titin is integrated into the human dilated cardiomyopathic sarcomere

Heterozygous (HET) truncating mutations in the TTN gene (TTNtv) encoding the giant titin protein are the most common genetic cause of dilated cardiomyopathy (DCM). However, the molecular mechanisms by which TTNtv mutations induce DCM are controversial. Here we investigated 127 clinically identified DCM human cardiac samples with next-generation sequencing (NGS), high-resolution gel electrophoresis, Western blot analysis and super-resolution microscopy in order to dissect the structural and functional consequences of TTNtv mutations. The occurrence of TTNtv was found to be 15% in the DCM cohort. Truncated titin proteins matching, by molecular weight, the gene-sequence predictions were detected in the majority of the TTNtv samples. The total amount of expressed titin, which includes the truncated fragments, was comparable in the TTNtv+ and TTNtv-samples, indicating that titin haploinsufficiency is not the leading cause of the molecular pathogenesis. Proteomic analysis of washed cardiac myofibrils and Stimulated Emission Depletion (STED) super-resolution microscopy of myocardial sarcomeres labeled with sequence-specific anti-titin antibodies revealed that truncated titin is structurally integrated in the sarcomere. Sarcomere lengthdependent anti-titin epitope position, shape and intensity analysis pointed at structural defects in the I/A junction and the M-band of TTNtv+ sarcomeres, which may contribute, via faulty mechanosensor function, to the development of manifest DCM.

biophysics↗

bioRxiv2022

Comprehensive collection and prediction of ABC transmembrane protein structures in the AI era of structural biology

The number of unique transmembrane (TM) protein structures doubled in the last four years that can be attributed to the revolution of cryo-electron microscopy. In addition, AlphaFold2 (AF2) also provided a large number of predicted structures with high quality. However, if a specific protein family is the subject of a study, collecting the structures of the family members is highly challenging in spite of existing general and protein domain-specific databases. Here, we demonstrate this and assess the applicability and usability of automatic collection and presentation of protein structures via the ABC protein superfamily. Our pipeline identifies and classifies transmembrane ABC protein structures using PFAM search and also aims to determine their conformational states based on special geometric measures, conftors. Since the AlphaFold database contains structure predictions only for single polypeptide chains, we performed AF2-Multimer predictions for human ABC half transporters functioning as dimers. Our AF2 predictions warn of possibly ambiguous interpretation of some biochemical data regarding interaction partners and call for further experiments and experimental structure determination. We made our predicted ABC protein structures available through a web application, and we joined the 3D-Beacons Network to reach the broader scientific community through platforms such as PDBe-KB.

bioinformatics↗

bioRxiv2021

Nanomechanics combined with HDX reveal allosteric drug binding sites of CFTR NBD1

Cystic fibrosis is most frequently caused by the deletion of F508 ({Delta}F508) in CFTRs nucleotide binding domain 1 (NBD1), compromising CFTR folding, stability and domain assembly. The limitation of developing a successful therapy is due to the lack of molecules that synergistically facilitate folding by targeting distinct structural defects of {Delta}F508-CFTR. To improve drug efficacy by targeting the {Delta}F508-NBD1 folding and stability, and to study potential {Delta}F508-NBD1 allosteric corrector binding sites at the atomic level, we combined molecular dynamics (MD) simulations, atomic force spectroscopy (AFM) and hydrogen-deuterium exchange (HDX) experiments. These methods allowed us to describe unfolding intermediates and forces acting during NBD1 mechanical unfolding and to elucidate the stabilization mechanism of {Delta}F508-NBD1 by 5-bromoindole-3-acetic acid (BIA). An NBD1 region, including the -subdomain, was identified as a potentially important participant of the first folding steps, characterized by non-native interactions of F508, thus destabilized in the deletion mutant. The instability was counteracted by the low-potency corrector BIA, increasing the mechanical resistance of the {Delta}F508-NBD1 -subdomain, which was confirmed as a binding site by computational modeling and HDX experiments. Our results underline the complementarity of computational and experimental methods and provide a possible strategy to improve folding correctors.

biophysics↗