Biology subjects

Durand, D.

Publications and source records attributed to Durand, D..

9 recordsLinked to original sources

bioRxiv2026

A unified smoothing framework for protein domain bigram model

MotivationBiomolecular sequences can be represented as strings over an alphabet, an analogy that has motivated many applications of computational linguistic techniques to biological problems. However, such methods must be adapted to the characteristic scale and organization of biomolecular data. Here, we consider the problem of bigram smoothing for multidomain protein architectures, where domain bigram frequency data is extremely sparse and differs from textual data in alphabet size, string length distribution, the relationship between bigram and unigram frequencies, tandem repeat lengths, and the distribution of domain adjacencies. Moreover, some domain combinations are unobserved because they are biologically incompatible, others because the data are incomplete. A smoothing method that distinguishes these two cases is required. ResultsWe propose a unified smoothing framework based on interpolation that can be tuned to accommodate different bigram data characteristics. Within this framework, we design specific model variants suited to protein domain bigram data: these assign low adjusted counts to pairs that are likely incompatible, while making appropriate adjustments for undersampled pairs. We demonstrate empirically that this approach distinguishes the two cases while preserving the characteristic signatures of multidomain data. Availability and implementationImplementations of smoothing methods, the scripts used to generate all results presented in this paper, and the curated lists of extracellular and DNA-binding domains are available at https://codeberg.org/xcui297/protein-domain-smoothing.

bioinformatics↗

bioRxiv2026

Advances in protein function prediction from the fifth CAFA challenge

The Critical Assessment of Functional Annotation (CAFA) is a long-standing community effort to independently assess computational methods for protein function prediction, to highlight well-performing methodologies, to identify bottlenecks in the field, and to provide a forum for the dissemination of results and exchange of ideas. In its fifth round (CAFA5) of triennial challenges, a partnership with Kaggle Inc. facilitated participation from a large community of data scientists and computational biologists through a competitive prospective challenge on the crowdsourcing platform. In this work, we present an in-depth analysis of the submitted predictions and report improvements in accuracy over all methods from the previous CAFA challenges. We further introduce a new evaluation setting for proteins with pre-existing (incomplete) annotations and identify the need for methods that better leverage existing annotations to predict those that will be discovered later. Finally, we characterize the prospective evaluation framework by examining performance on a strict set of unpublished annotations and across intermediate database releases. Our results indicate that recent developments in the field, such as the availability of protein language models and accurately predicted 3D structures, as well as the growth of experimental annotations through biocuration, have all contributed to performance improvements. 1

bioinformatics↗

bioRxiv2025

Vector semantics of multidomain protein architectures

Multidomain proteins are mosaics of domains, protein modules that are associated with a specific structure or function and are found in diverse combinations. This modular organization facilitates the evolution of novel protein functions, but the principles that govern the relationship between the domain content of a protein and its function is poorly understood. In particular, do domains always contribute the same function, or does the functional contribution of a domain depend on the neighboring domains in the protein? To answer this question, we used vector embeddings, which account for local contextual signals, to model the protein domain content of multidomain proteins. We observe that multidomain architectures that are semantically similar share more functional attributes than multidomain architectures selected based on domain content similarity, alone, suggesting that context is important for understanding the relationship between domain content and protein function. Surprisingly, vector semantics also identified multidomain architecture pairs with significantly high functional similarity, despite having no domains in common at all, suggesting that vector semantics may be discovering domain "synonyms". Taken together, our results underscore the importance of contextual models for understanding the interplay between domain architecture evolution and functional innovation in multidomain proteins.

evolutionary biology↗

bioRxiv2025

Evolution of the Metazoan Protein Domain Toolkit Revealed by a Birth-Death-Gain Model

Domains, sequence fragments that encode protein modules with a distinct structure and function, are the basic building blocks of proteins. The set of domains encoded in the genome serves as the functional toolkit of the species. Here, we use a phylogenetic Birth-Death-Gain model to investigate the evolution of this protein toolkit in metazoa. Given a species tree and the set of protein domain families in each present-day species, this approach estimates the most likely rates of domain origination, duplication and loss. Statistical hierarchical clustering of domain family rates reveals sets of domains with similar rate profiles, consistent with groups of domains evolving in concert. Moreover, we find that domains with similar functions tend to have similar rate profiles. Interestingly, domains with functions associated with metazoan innovations, including immune response, cell adhesion, tissue repair, and signal transduction, tend to have the fastest rates. We further infer the expected ancestral domain content and the history of domain family gains, losses, expansions, and contractions on each branch of the species tree. In contrast to recent reports of widespread loss during metazoan evolution, we observe little evidence of genome streamlining. Rather, our analysis reveals an ongoing process of domain family replacement and resizing, consistent with extensive remodeling of the protein domain repertoire. The use of a powerful, probabilistic Birth-Death-Gain model reveals an unexpected level of genomic plasticity and a striking harmony between the evolution of domain usage in metazoan proteins and organismal innovation.

evolutionary biology↗

bioRxiv2024

Ancient eukaryotic protein interactions illuminate modern genetic traits and disorders

All eukaryotes share a single-celled ancestor from [~]1.5-1.8 billion years ago, the Last Eukaryotic Common Ancestor (LECA). Roughly half of gene families found in modern eukaryotes were already present in LECA, forming molecular systems that continue to influence genetic diseases and traits today. To investigate these systems, we compared genes across 156 organisms to define a core set of protein-coding gene families likely present in LECA, with a quarter remaining uncharacterized. Integrating >26,000 mass spectrometry proteomics analyses from 31 species, we inferred higher-order complexes among these ancient proteins. This reconstructed interactome reveals both established and novel assemblies, offering a biochemical snapshot of LECAs organization. Finally, by exploring these ancient protein interactions, we found new human gene-disease associations for bone density and congenital birth defects, illustrating the value of ancestral protein networks for modern functional genetics.

evolutionary biology↗

bioRxiv2023

Structural and functional characterization of the NF-κB-targeting toxin AIP56 from Photobacterium damselae subsp. piscicida reveals a novel mechanism for membrane interaction and translocation

Bacterial AB toxins are secreted virulence factors that are internalized by target cells through receptor-mediated endocytosis, translocating their enzymatic domain to the cytosol from endosomes (short-trip) or the endoplasmic reticulum (long-trip). To accomplish this, they evolved a multidomain structure organized into either a single polypeptide chain or non-covalently associated polypeptide chains. The prototypical short-trip single-chain toxin is characterized by a receptor-binding domain that confers cellular specificity and a translocation domain responsible for pore formation whereby the catalytic domain translocates to the cytosol in an endosomal acidification-dependent way. In this work, the resolution of the three-dimensional structure of AIP56 showed that instead of a two-domain organization, as previously predicted, AIP56 has a three-domain organization, with a NleC-like catalytic domain associated with a small middle domain that contains the linker-peptide, followed by the receptor-binding domain. In contrast to prototypical single-chain AB toxins, AIP56 does not comprise a typical structurally complex translocation domain; instead, the elements involved in translocation are scattered across its domains. Thus, the catalytic domain contains a helical hairpin that serves as a molecular switch for triggering the conformational changes necessary for membrane insertion only with endosomal acidification, whereas the middle and receptor-binding domains are required for pore formation. Considering the increasing number of putative AIP56 homologous toxins in databases, the data presented here have implications far beyond the AIP56 intoxication process and the virulence of Phdp.

microbiology↗

bioRxiv2022

Dynamics and structural changes of calmodulin upon interaction with its potent antagonist calmidazolium

Calmodulin (CaM) is a eukaryotic multifunctional, calcium-modulated protein that regulates the activity of numerous effector proteins involved in a variety of physiological processes. Calmidazolium (CDZ) is a potent small molecule antagonist of CaM and one the most widely used inhibitors of CaM in cell biology. Here, we report the structural characterization of CaM:CDZ complexes using combined SAXS, X-ray crystallography, HDX-MS and NMR approaches. Our results provide molecular insights into the CDZ-induced dynamics and structural changes of CaM leading to its inhibition. CDZ-binding induces an open-to-closed conformational change of CaM and results in a strong stabilization of its structural elements associated with a reduction of protein dynamics over a large time range. These CDZ-triggered CaM changes mimic those induced by CaM-binding peptides derived from protein targets, despite their distant chemical nature. CaM residues in close contact with CDZ and involved in the stabilization of the CaM:CDZ complex have been identified. These results open the way to rationally design new CaM-selective drugs. Figure and text for the Table of Contents (ToC) O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=127 SRC="FIGDIR/small/474921v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@b0c76org.highwire.dtl.DTLVardef@15f462forg.highwire.dtl.DTLVardef@1f8e57forg.highwire.dtl.DTLVardef@1a33575_HPS_FORMAT_FIGEXP M_FIG C_FIG Calmidazolium is a potent and widely used inhibitor of calmodulin, a major mediator of calcium-signaling in eukaryotic cells. Structural characterization of calmidazolium-binding to calmodulin reveals that it triggers open-to-closed conformational changes similar to those induced by calmodulin-binding peptides derived from enzyme targets. These results open the way to rationally design new and more selective inhibitors of calmodulin.

biophysics↗

bioRxiv2020

A high-affinity calmodulin-binding site in the CyaA toxin translocation domain is essential for invasion into eukaryotic cells

The molecular mechanisms and forces involved in the translocation of bacterial toxins into host cells have thus far remained elusive. The adenylate cyclase (CyaA) toxin from Bordetella pertussis displays a unique intoxication pathway in which its catalytic domain is directly translocated across target cell membranes. We have previously identified a translocation region in CyaA that contains a segment, P454 (residues 454-484), exhibiting membrane-active properties related to antimicrobial peptides. Herein, we show that this peptide is able to translocate across membranes and interact with calmodulin. Structural and biophysical analyses have revealed the key residues of P454 involved in membrane destabilization and calmodulin binding. Mutational analysis demonstrated that these residues play a crucial role in CyaA translocation into target cells. We have also shown that calmidazolium, a calmodulin inhibitor, efficiently blocks CyaA internalization. We propose that after CyaA binding to target cells, the P454 segment destabilizes the plasma membrane, translocates across the lipid bilayer and binds calmodulin. Trapping of the CyaA polypeptide chain by the CaM:P454 interaction in the cytosol may assist the entry of the N-terminal catalytic domain by converting the stochastic process of protein translocation into an efficient vectorial chain transfer into host cells.

biophysics↗

bioRxiv2020

Structural and dynamic characterization of the C-terminal tail of ErbB2: disordered but not random

ErbB2 (or HER2) is a receptor tyrosine kinase overexpressed in some breast cancers, associated with poor prognosis. Treatments targeting the receptor extracellular and kinase domains have greatly improved disease outcome in the last twenty years. In parallel, the structures of these domains have been described, enabling better mechanistic understanding of the receptor function and targeted inhibition. However, ErbB2 disordered C-terminal cytoplasmic tail (CtErbB2) remains very poorly characterized in terms of structure, dynamics and detailed functional mechanism. Yet, it is where signal transduction is triggered, via phosphorylation of tyrosine residues, and carried out, via interaction with adaptor proteins. Here we report the first description of ErbB2 disordered tail at atomic resolution, using NMR and SAXS. We show that although no part of CtErbB2 has any stable secondary or tertiary structure, it has around 20% propensity for a N-terminal helix that is suspected to interact with the kinase domain, and many PPII stretches distributed all along the sequence, forming potential SH3 and WW domains binding sites. Moreover, we identified a long-range transient contact involving CtErbB2 termini. These characteristics suggest new potential mechanisms of auto-regulation and protein-protein interaction. SIGNIFICANCEWe report here the first description of the receptor tyrosine kinase ErbB2 disordered tail (CtErbB2) at atomic resolution, using NMR and SAXS. We show that although CtErbB2 exhibits no stable structure, it does exhibit partial secondary and tertiary structures likely important for its function. These structural elements are consistent with an active role of the C-terminal tail in the regulation of the receptors activity, thanks to the presence of preformed structures for intramolecular interactions, as well as long-range contacts modulating accessibility of those sites and proline interaction sites distinct from the main tyrosine sites. Together, those results reinforce the view that disordered tails of receptors are more than random anchors for partners.

biophysics↗