Biology subjects

Collepardo-Guevara, R.

Publications and source records attributed to Collepardo-Guevara, R..

At least 19 recordsLinked to original sources

bioRxiv2026

PepSpace: An Automated, Physics-Driven Directed Evolution Platform for the De Novo Design of Specific Peptide Binders and Condensate Modulators

Intrinsically disordered proteins, topologically complex protein surfaces, and biomolecular condensates regulate essential cellular processes but remain difficult to drug with conventional small molecules. Here, we present PepSpace, a physics-driven directed-evolution platform coupling residue-resolution coarse-grained molecular dynamics with a multi-objective genetic algorithm. PepSpace designs peptide binders by rewarding target engagement while penalizing peptide self-association and off-target binding. Evaluated alongside deep-learning generative models across multiple targets, PepSpace-designed peptides achieve predicted interaction strengths up to two orders of magnitude greater than machine-learning designs, while reproducing experimentally observed binding hierarchies and revealing distinct binding modes. For PIEZO1, PepSpace designs 25-mer peptides that preferentially engage a defined 30-residue intracellular beam epitope while suppressing interactions with the remainder 2,547-residues of the protein. For CHERP biomolecular condensates, dual-action peptides weaken native intermolecular contacts and destabilize the condensed phase. PepSpace provides a physically grounded framework for de novo peptide design against dynamic protein targets and biomolecular condensates, with explicit control over specificity, solubility, and collective interactions.

biophysics↗

bioRxiv2026

Size Control of hnRNPK-based Nucleolar Condensates by RNA-Regulated Fusion Dynamics

Nucleoli are liquid-like condensates whose size is actively conserved--they remain small, numerous, and resistant to coalescence--yet the molecular mechanisms that constrain their fusion remain poorly understood. Heterogeneous nuclear ribonucleoprotein K (hnRNPK), an RNA-binding protein implicated in nucleolar organization and cancer, interacts directly with the scaffold protein Nucleolin. Combining residue-resolution coarse-grained simulations with biochemical experiments, we find that hnRNPK and Nucleolin condense through distinct interaction networks--a localized cation-{pi}/electrostatic hotspot in hnRNPK versus broadly distributed electrostatic contacts in Nucleolin, reorganized upon co-assembly. To probe how RNAs reshape these condensates, we develop and validate, against re-entrant phase-separation experiments and AlphaLISA binding data, a nucleotide-resolution coarse-grained model for single-stranded RNA. Using this framework, we show that RNA is asymmetrically and preferentially recruited by hnRNPK over Nucleolin, an asymmetry that grows stronger when the two proteins compete for the same RNAs. This selective recruitment sustains a dynamic fission-fusion equilibrium: hnRNPK-containing condensates repeatedly fuse and split rather than coalescing into a single condensate, whereas Nucleolin-containing and ternary condensates fuse into one dominant cluster. These results reveal a molecular mechanism, grounded in sequence-encoded, RNA-controlled fusion dynamics, by which nucleolar condensates conserve a controlled, non-coalescing size despite their liquid-like character.

biophysics↗

bioRxiv2026

Compositional control of FUS condensate ageing through aggregation-prone interaction networks

Stress granules are multicomponent biomolecular condensates whose aberrant ageing has been implicated in numerous neurodegenerative diseases. Although their composition is known to influence condensate properties, the molecular principles linking composition to structural maturation remain poorly understood. Here, we perform equilibrium and non-equilibrium residue-resolution molecular dynamics simulations to determine how RNA and heterotypic protein interactions regulate the pathological hardening of multicomponent FUS-containing condensates inspired by stress-granule composition. We show that diverse compositional changes--including RNA concentration, heterotypic protein partitioning, interfacial enrichment of G3BP1, and charged peptide recruitment--reshape condensate organization through distinct molecular mechanisms. Despite these different modes of action, all converge on a common physical principle: modulation of the local clustering and persistence of contacts between low-complexity aromatic-rich kinked segments (LARKS) governs the nucleation and accumulation of long-lived intermolecular cross-{beta}-sheet structures. Intermediate RNA concentrations enhance condensate density and promote LARKS contacts, whereas high RNA levels, heterotypic interactions, and interfacial coating reduce their availability and delay ageing. Our results establish a unified molecular framework linking condensate composition, internal organization and ageing. This framework provides mechanistic insight into the regulation of multicomponent condensate material properties and suggests general design principles for modulating their pathological aggregation.

biophysics↗

bioRxiv2026

A Spectrum of Free Energy Landscape Topologies Encodes Chromatin Polymorphism and Phase Separation

Chromatin exhibits structural polymorphism, yet how such substantial structural heterogeneity is encoded in its underlying free-energy landscape remains unknown. Here we map the folding landscapes of tetra-nucleosome arrays using adaptive Markov state models constructed from near-atomistic coarse-grained simulations. We find that chromatin is not governed by a single folding funnel analogous to those of many globular proteins. Instead, it spans a continuum of free-energy landscape topologies, ranging from funnelled to rugged to flat. Remarkably, phase separation reshapes chromatins free-energy landscape by stabilising conformations that maximise intermolecular connectivity, demonstrating that the landscape is determined not only by intrinsic molecular parameters but also by the environment and intermolecular interactions. Linker DNA geometry selects among landscape regimes through geometric frustration of zig-zag nucleosome stacking. At short and intermediate linker lengths, canonical 10N bp linkers produce funnelled landscapes dominated by compact zig-zag structures, whereas 10N +5 bp linkers generate rugged landscapes with multiple competing minima. Long linkers relieve frustration and flatten the landscape into a broad entropic basin. This control operates with single-base-pair precision, such that changing linker length by one base pair is sufficient to reorganise both the thermodynamics and kinetics of chromatin folding. DNA sequence provides a second level of control by modulating linker deformability, but only when zig-zag geometric frustration is present. These results establish free-energy landscapes as a framework for understanding the physical origin of chromatin polymorphism and its coupling to phase separation.

biophysics↗

bioRxiv2026

Single-molecule nucleosome spacing coordinates chromatin fiber interactions

Nucleosome spacing influences higher-order chromatin fiber organization in vitro but how this relates to cellular chromosome structure remains contentious. To address this, we developed Ligation Analysis of Single-molecule Sequence Interactions (LASSI), a single-molecule epigenomic method that combines proximity ligation with near-nucleotide resolution, long-read adenine methyltransferase footprinting. LASSI measures nucleosome spacing patterns on interacting segments of chromatin genome-wide in cells, quantifying coupled chromosome organization in 1D and 3D. Applying LASSI to mouse embryonic stem cells (mESCs), we discover a genome-wide structural pattern we term fiber homotypy, where chromatin fibers with similar nucleosome spacing patterns interact more frequently in 3D. This pattern persists over long intrachromosomal distances in cis and interchromosomally in trans. Fiber homotypy negatively scales with genomic distance, though differently than contact probability, implying distinct mechanisms. It is further promoted by topologically associated domains (TADs), A/B compartments, and shared histone modification domains, suggesting instructive roles for each of these processes. Coarse-grain molecular dynamics simulations of chromatin fibers informed by LASSI reveal that the intrinsically heterogeneous spacing of nucleosomes along chromatin fibers in cells is a key regulator of homotypy. This variability tunes the free energy landscape of chromatin fiber interactions, promoting the compartmentalization of similar 1D chromatin structures via specific types of fiber-fiber interaction. Further linking compartmentalization and fiber homotypy, we demonstrate that loop extrusion antagonizes this phenomenon. Depletion of the cohesin subunit RAD21 in mESCs increases fiber homotypy genome-wide, while depletion of the cohesin unloader WAPL decreases fiber homotypy, consistent with effects seen on A/B compartmentalization. Our results demonstrate that fiber-fiber interactions driven by shared nucleosome spacing patterns instruct higher-order chromosome organization. Moreover, we show clear structural interdependence across cellular chromatin length-scales, likely tuned by processes ranging from nucleosome positioning to loop extrusion.

genomics↗

bioRxiv2026

RNA synthesis and degradation regulate biomolecular condensates through non-equilibrium feedback

Transcriptional condensates operate far from equilibrium, where continuous RNA synthesis and degradation dynamically reshape condensate composition. To investigate how RNA synthesis regulates condensate properties at sub-molecular resolution, we introduce REACT-RNA, a chemically specific coarse-grained molecular dynamics framework that explicitly couples RNA polymerisation, degradation, and nucleotide fluxes to sequence-dependent protein-RNA phase behaviour. Using FUS and MED1 as model systems, we show that RNA growth remodels condensate phase behaviour by altering RNA length distributions and intermolecular connectivity. Sustained RNA polymerisation drives re-entrant condensate dissolution, even of aged gel-like condensates, whereas RNA degradation stabilises long-lived non-equilibrium condensates containing excess RNA and negative charge beyond that tolerated at equilibrium. Our results suggest that RNA synthesis, degradation, and nucleotide fluxes drive transcriptional condensates out of thermodynamic equilibrium while condensates in turn promote reactive molecular configurations that favour RNA production, enabling transient accumulation of excess RNA and negative charge beyond equilibrium electroneutrality constraints during bursts of transcription.

biophysics↗

bioRxiv2026

RNA2PS: A sequence-specific coarse-grained RNA model linking structure, thermodynamics and phase separation

RNA plays a central role in the formation and regulation of biomolecular condensates, yet a quantitative understanding of how RNA sequence, structure, and thermodynamics jointly determine phase behaviour, particularly in repeat expansion RNAs, remains incomplete. Here, we introduce RNA2PS, a sequence-specific RNA coarse-grained model for phase-separation that predicts RNA structure from sequence, achieving quantitative agreement for both single-stranded conformations and duplex helical geometry relative to crystallographic PDB structures. RNA2PS represents each nucleotide by two beads that separate the phosphate-ribose backbone from the base. This representation decouples electrostatic interactions from directional base pairing, while explicitly incorporating strand polarity (5' [->] 3') and local sequence context at the trimer level. Canonical and wobble base pairing are modelled through a multi-body potential with sequence-dependent coordination. Importantly, RNA2PS captures sequence-dependent duplex stability at the nearest-neighbour level and reproduces experimental melting temperatures across a diverse set of sequences. RNA2PS shows that phase separation of trinucleotide repeat RNAs is governed by transient inter-strand duplexes that form reversible cross-links. Competition between intra- and intermolecular base pairing regulates the density of labile RNA-RNA interactions, giving rise to strong sequence- and length-dependent differences in condensation that reproduce cellular RNA foci formation. Overall, RNA2PS provides a near-quantitative predictive framework that links sequence-encoded hybridization thermodynamics to mesoscale condensation of pure RNA sequences.

biophysics↗

bioRxiv2026

Length Scale-Dependent Dynamics in Electrostatic Protein Coacervates

Biomolecular condensates formed by complex coacervation of highly charged proteins provide a powerful framework to understand how microscopic interactions give rise to macroscopic material properties. Atomistic molecular dynamics simulations provide detailed insights but remain limited in accesing the spatio-temporal scales relevant for condensate behavior. Here, we use the residue-level coarse-grained Mpipi-Recharged model to investigate condensates formed by ProT and positively charged partners, including histone H1, protamine, poly-lysine, and poly-arginine. Material properties, in this context, provide a stringent experimental benchamark for coarse-grained models. Our model reproduces salt-dependent phase behavior, protein binding affinities, and sequence-specific stability trends in agreement with in vitro experiments, despite the fact that material properties were not included in the model parametrization. We then establish a direct link between protein dynamics and macroscopic material properties by quantifying monomeric diffusion, conformational reconfiguration, and translational mobility within the dense phase, and relating these to condensate viscosity. By comparing dynamics across dense and dilute phases, we uncover a pronounced length scale-dependent behavior. While residue-level binding and unbinding events remain equally fast in both phases, protein reconfiguration time and self-diffusion are significantly slowed down within the condensates. This decoupling reveals how fast intermolecular interactions coexist with slow mesoscale condensate dynamics depending on the molecular length scale. Together, our results establish a predictive framework that links encoded sequence intermolecular forces and multiscale dynamics to the emergent material properties of complex biomolecular condensates.

biophysics↗

bioRxiv2026

Interplay between Local Diffusion, Concentration, and Inter-Protein Alignment Promotes Cross-β-Sheet Transitions at Condensate Interfaces

The interface separating a biomolecular condensate from its surroundings is increasingly recognised as a unique physical and chemical environment that actively regulates condensate behaviour. It controls surface tension, molecular organisation and chemical reactivity, and is also where pathological ageing often begins, with several proteins nucleating cross-{beta}-sheet fibrils preferentially at condensate surfaces. But does ageing emerge there because of protein-specific chemistry, or a more general physical mechanism? Using coarse-grained molecular dynamics simulations, we show that cross-{beta}-sheet nucleation generically occurs preferentially at condensate interfaces across systems of increasing chemical complexity, from simple homopolymers to patterned amphiphilic sequences. In all systems studied, interface-driven ageing has a common physical origin and can be further modulated, but not driven, by protein sequence. Specifically, terminal domains at the condensate interface gain mobility while remaining densely packed and mutually aligned, creating favourable conditions for {beta}-sheet nucleation. Ageing is amplified in amphiphilic sequences, where hydrophilic regions act as surfactants facing the dilute phase, while aggregation-prone hydrophobic domains cluster just beneath the surface, concentrating the nucleation there. This surfactant-like organisation lowers the interfacial free energy, which falls systematically as sequence asymmetry grows. By linking molecular interactions to mesoscale behaviour, these results cast the interface as a central regulator of ageing and reveal a sequence-independent physical mechanism for the liquid-to-solid transition underlying pathological aggregation in biomolecular condensates.

biophysics↗

bioRxiv2026

Condensate-Driven Transcriptional Reprogramming Defines Core Vulnerabilities in Esophageal and Gastric Cancers

Biomolecular condensates organize key nuclear functions by compartmentalizing biomolecules, yet their contribution to gastrointestinal tumorigenesis remains poorly defined. Integrating multi-omics profiling, functional genomics, and molecular dynamics simulations, we reveal that esophageal and gastric cancers share a condensate-enriched transcriptional program driven by intrinsically disordered proteins involved in transcription, RNA processing, and replication stress. Transcriptomic analyses identify a hyperactive transcriptional state with upregulation of condensate-associated genes, including TOPBP1 and CHERP. Dependency mapping demonstrates that these proteins are essential for tumor cell viability, defining a conserved condensate core across different tumor types. Machine-learned predictions and residue-resolution coarse-grained simulations confirm that TOPBP1 and CHERP undergo phase separation through homotypic interactions mediated by intrinsically disordered regions, with saturation concentrations below 2 {micro}M, consistent with spontaneous condensate formation observed in vitro. Together, these findings establish condensate organization as a fundamental mesoscale principle in upper gastrointestinal cancers and nominate condensate scaffolds as tractable therapeutic vulnerabilities.

bioinformatics↗

bioRxiv2026

Electrostatic control of chromatin compaction safeguards against apoptotic DNA release

Apoptosis involves extensive intracellular reorganisation to facilitate the clearance of dying cells. A key step in this process is the destruction of the genome through fragmentation by caspase-activated endonuclease (CAD). Rather than dispersing after CAD-mediated cleavage, DNA fragments are compacted into a dense chromatin compartment. However, the underlying mechanism and biological relevance of this compaction remain unknown. Here we show that global deacetylation of histone tails promotes chromatin compaction during apoptosis, preventing DNA release into apoptotic extracellular vesicles. Using synthetic effectors that modulate nucleosome electrostatics independently of histone modifications, we demonstrate that electrostatic attraction alone is sufficient to compact and sequester fragmented chromatin. These findings reveal a mechanism by which global reprogramming of histone modifications coordinates fragmentation of the genome with its physical sequestration during apoptosis. Furthermore, our synthetic approach provides a tool to probe the role of physical forces in genome organisation across diverse biological contexts.

cell biology↗

bioRxiv2026

A Goldilocks zone of DNA flexibility defines stable yet plastic nucleosomes, tuned by histone chemistry

Nucleosomes regulate DNA accessibility through partial DNA unwrapping driven by thermal fluctuations or forces exerted by molecular motors. Despite substantial chemical and DNA sequence diversity in vivo, much of our mechanistic understanding of nucleosome unwrapping is derived from canonical constructs. Here, we use a near-atomistic coarse-grained model to quantify the energetics and mechanisms of force-induced nucleosome unwrapping across over 40 nucleosomes spanning genomic and synthetic DNA sequences, histone variants, and post-translational modifications. We find that the force barriers to nucleosome unwrapping are shaped by histone composition and DNA flexibility, and arise from the formation of topologically protected, partially unwrapped intermediates. Strong nucleosome-positioning and genomic sequences consistently fall within a Goldilocks zone of intermediate DNA flexibility, which enables the formation of thermodynamically stable yet mechanically plastic nucleosomes that undergo controlled deformation under applied force. Limited mechanical variation within this zone results in modest DNA sequence-dependent effects on nucleosome deformability. In contrast, histone variants and post-translational modifications modulate nucleosome stability and plasticity in a strongly non-additive manner, with predominant contributions from H3 and H2A core arginines and H3 and H2B tail lysines. Together, our results provide a physical framework linking DNA sequence, histone composition, and nucleosome geometry to nucleosome stability, plasticity and DNA accessibility.

biophysics↗

bioRxiv2025

Near-atomistic simulations reveal the molecular principles that control chromatin structure and phase separation

Understanding how chromatins physicochemical properties shape its emergent organisation is central to deciphering genome function. To address this, we present OpenCGChromatin, a high-performance coarse-grained model that achieves near-atomistic simulations of chromatin systems an order of magnitude larger than previously possible, spanning biomolecular condensates and fibers tens of kilobases in length. OpenCGChromatin simulations independently predict, from physicochemical principles, the linker-DNA-dependent chromatin structures observed by cryo-ET and the relative thermodynamic stability of condensates inferred from biochemical assays. Crucially, OpenCGChromatin resolves histone-tail dynamics and interaction networks that remain inaccessible experimentally, explaining how linker-DNA length controls histone tail accessibility and the resulting multiscale structure of chromatin condensates. Extending simulations to 108-nucleosome fibers shows that acetylation disrupts chromatin compaction in a pattern-specific manner by weakening key tail-mediated interactions, with H4K16 and H3K9 emerging as the most energetically disruptive modifications. These results position OpenCGChromatin as a powerful framework for linking molecular detail to emergent chromatin organization.

biophysics↗

bioRxiv2025

Determination of nucleotide-nucleotide and nucleotide-amino acid binding interactions from all-atom potential-of-mean-force calculations

Biomolecular condensates emerge from multivalent interactions between proteins and nucleic acids and are frequently modeled using coarse-grained molecular dynamics simulations. The parametrization of these models critically depends on atomistic data describing the underlying molecular interactions. In this work, we employ all-atom molecular dynamics simulations and potential-of-mean-force (PMF) calculations to investigate the interaction landscape between RNA nucleotides and protein amino acids. We begin by characterizing nucleotide-nucleotide binding modes through canonical base-pairing analysis, observing notable agreement in the predictions from both AMBER03ws and CHARMM36 force fields. Further rationalization of different nucleotide-nucleotide interaction modes involves the calculation of PMFs for ribose-ribose, phosphate-phosphate, and RNA tertiary interactions such as G-quadruplex formation. We also examine the effect of salt concentration on these interactions, finding a reduction on electrostatic self-repulsion for phosphate-phosphate binding upon increasing the ionic strength. Extending our analysis to amino acids, we first benchmark the performance of both AMBER03ws and a99SB-disp force fields for describing pairwise amino acid interactions, and then we evaluate different nucleotide-amino acid binding profiles. Our findings reveal a subset of amino acids--Lys and Arg (positively charged), Asp and Glu (negatively charged), and Gln, Ser, and Asn (polar residues)--that consistently engage with the nitrogenous bases of different nucleotides. Such binding is primarily mediated by hydrogen bonding and, in some cases, cation-{pi} interactions. Furthermore, we identify strong{pi} -{pi} stacking interactions with aromatic residues and phosphate-Arg contacts as key contributors to condensate cohesion in RNA-protein condensates. Our comprehensive analysis provides a detailed library of nucleotide-amino acid interactions, offering quantitative insights to inform coarse-grained model parametrization and deepening our understanding of condensate self-assembly, nucleic acid recognition, and phase-separation regulation at submolecular scale.

biophysics↗

bioRxiv2025

Oct4 clusters promote DNA accessibility by enhancing chromatin plasticity

Pioneer transcription factors are defined by their ability to engage closed chromatin and render it accessible. Oct4, a master regulator of pluripotency, exemplifies this capacity as it can bind nucleosome-occupied DNA. Yet, how Oct4 reshapes chromatin fibres beyond the scale of a single nucleosome has remained unclear. Here, we harness our near-atomistic coarse-grained chromatin model to dissect how full-length Oct4 interacts with chromatin fibres of varying nucleosomal repeat lengths. We find that Oct4 increases DNA accessibility not by decondensing chromatin, but by driving fibres into compact liquid-like states in which nucleosomes breathe, reorient, exchange neighbours, and transiently expose DNA. Oct4 binds preferentially to linker DNA through its structured POU domains, while its disordered activation domains mediate cluster formation: a three-stage process consisting of nucleation of small clusters, attachment to chromatin via the DNA binding domains, and growth that is amplified when long DNA linkers enable fibre bending and looping. Oct4 clusters deform chromatin and bridge distal DNA segments in a stoichiometry- and linker length-dependent manner, revealing a tunable mechanism for controlling higher-order structure. Together, our results establish how Oct4 exploits multivalency, nucleosome breathing, and chromatin flexibility to reorganise fibres into liquid-like states that reconcile condensation with enhanced accessibility, providing a physical route to overcome the transcription-factor search problem and activate silenced genes during reprogramming.

biophysics↗

bioRxiv2025

An electrostatic repulsion model of centromere organisation

During cell division, chromosomes reorganise into compact bodies in which centromeres localise precisely at the chromatin surface1-4 to enable kinetochore-microtubule interactions essential for genome segregation5-8. The physical principles guiding this centromere positioning remain unknown. Here, we reveal that human core centromeres are directed to the chromatin surface by repulsion of centromere-associated proteins - independent of condensin-mediated loop extrusion and microtubule engagement. Using cellular perturbations, biochemical reconstitution, and multiscale molecular dynamics simulations, we show that chromatin surface localisation emerges from repulsion between condensed chromatin and both the kinetochore and the highly negatively charged centromere protein, CENP-B. Together, these elements form a centromeric region composed of two domains with opposing affinities, one favouring integration within the mitotic chromosome and the other favouring exposure to the surrounding cytoplasm, thereby driving surface positioning. Tethering synthetic negatively charged proteins to chromatin was sufficient to recapitulate this surface localisation in cells and in vitro, indicating that electrostatic repulsion is a key determinant of surface localisation. These findings demonstrate that centromere layering is not hardwired by chromatin folding patterns but instead emerges from phase separation in chromatin. Our work uncovers electrostatic polarity as a general and programmable mechanism to spatially organise chromatin.

cell biology↗

bioRxiv2025

Predicting Saturation Concentrations of Phase-Separating Proteins via Thermodynamic Integration

Phase separation of proteins and nucleic acids into biomolecular condensates contributes to the regulation of cellular compartmentalisation in membrane-less environments. A key parameter controlling the onset of biomolecular condensate formation via liquid--liquid phase separation is the saturation concentration (Csat)-- the threshold concentration above which condensation takes place. While measuring Csat for protein solutions in vitro is experimentally accessible, determining this quantity in simulations remains challenging due to the extremely low equilibrium concentrations at which many proteins phase separate. This occurs because the gold standard in simulations consists on combining a residue-resolution coarse-grained model with the Direct Coexistence simulation method, which yields poor estimates of the equilibrium concentrations of the dilute phase due to lack of statistics. In this work, we present two independent thermodynamic integration (TI) schemes which, when combined with Direct Coexistence simulations, enable accurate calculation of saturation concentrations and phase diagrams--facilitating direct comparison with experimental measurements across a wide range of conditions. Our methods, combined with the Mpipi-Recharged residue-resolution coarse-grained model, accurately estimate Csat for a wide range of intrinsically disordered and multi-domain proteins, including disease-associated RNA- and DNA-binding proteins involved in the formation of stress granules and P granules, as well as engineered mutants of hnRNPA1. Furthermore, we compare our TI methods against a computationally efficient machine-learning predictor trained to estimate saturation concentrations at sub-physiological temperatures. While both approaches yield realistic predictions, explicit molecular dynamics simulations enable the calculation of complete phase diagrams and provide insight into the molecular mechanisms and interactions driving phase-separation. Overall, our approach offers a robust, physically grounded framework for improving and validating coarse-grained models of biomolecular phase behaviour, effectively bridging the gap between simulation and experiment.

biophysics↗

bioRxiv2025

Charged mutations in the FUS low-complexity domain modulate condensate ageing kinetics

The assembly of biomolecular condensates is tightly regulated by the intracellular environment. Disruptions in the balance between condensate formation and dissolution--such as irreversible aggregation of low-complexity aromatic-rich kinked segments (LARKS)--have been implicated in multiple neuropathologies. Here, we employ non-equilibrium, residue-resolution coarse-grained simulations to investigate how specific mutations in FUS, an RNA-binding protein associated with amyotrophic lateral sclerosis and frontotemporal dementia, modulate its phase separation propensity and transition into insoluble aggregates. Our simulations reveal that mutations increasing the content of negatively charged amino acids in the low-complexity domain slow down inter-protein {beta}-sheet accumulation, while preserving the phase diagram and viscoelastic properties of the wild-type sequence. Conversely, mutations increasing the arginine content accelerate disorder-to-order LARKS transitions, driving rapid formation of amorphous kinetically trapped aggregates. Our computational approach thus provides molecular-level insights into how specific amino acid mutations and associated intermolecular interactions control the ageing kinetics of protein condensates, promoting aberrant solid-like phases.

biophysics↗