Biology subjects

Song, C.

Publications and source records attributed to Song, C..

At least 19 recordsLinked to original sources

bioRxiv2026

NeuroPack: Advanced Learnable Packaging Toolkit Towards Ultra-High Compression Ratio for Volumetric Neuroimaging

High-throughput 3D microscopic imaging generates brain-volume datasets at terabyte to petabyte scale, posing significant storage challenges for large-scale neuroimaging data. In this study, we introduce NeuroPack, a hyperprior-driven 3D deep-learning-based packaging toolkit specifically designed for compressing 3D microscopic volumes at the mesoscale. NeuroPack encodes a compact hyperprior stream that conditions its entropy model on local voxel-wise variance, adaptively allocating bits to preserve mesoscale anatomical details for an optimal rate-distortion balance. To ensure reproducible deployment across heterogeneous microscopy datasets and computing environments, NeuroPack implements model integerization for the hyperprior side-information pathway, whose hyper-decoder predicts the Gaussian mean and scale parameters used by the arithmetic coder. By replacing platform-dependent floating-point hyper-decoding with deterministic fixed-point integer convolutions, NeuroPack produces bit-exact entropy models across CPUs, GPUs, local workstations, and cloud servers, thereby preventing decoding drift caused by floating-point rounding, fused-multiply-add ordering, or library-specific kernels. This integerized design preserves rate-distortion behavior while maintaining efficient encoding and decoding for large anisotropic 3D microscopy volumes. Our method enables high-fidelity microscopy reconstruction at 100- to 1000-fold compression across diverse modalities and species. Quantitatively, NeuroPack delivers the strongest overall rate-distortion performance in both BD-PSNR and BD-MSSSIM, with average relative gains of 73.4% and 50.8%, respectively, over the best competing codec. Importantly, NeuroPack preserves image fidelity required for downstream morphological reconstruction and analysis, as validated by simultaneous human annotation of original and decompressed confocal whole-brain zebrafish microscopy images. Together, NeuroPack provides a learning-based compression framework explicitly tailored for microscopy data, establishing a scalable storage solution for data-intensive neuroimaging and AI-empowered biological discovery.

bioengineering↗

bioRxiv2026

N-Acetylglucosamine ameliorates knee osteoarthritis by enhancing UDP-GlcNAc conversion and chondrocyte DNA repair capacity

Background: Knee osteoarthritis (KOA) is a degenerative joint disease characterized by progressive cartilage degradation and synovial inflammation, while current therapies offer only symptomatic relief. This study aimed to determine whether N-acetylglucosamine (GlcNAc) is superior to glucosamine hydrochloride (GlcN{middle dot}HCl) in slowing the progression of KOA and to elucidate the underlying mechanisms involved. Methods: Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was employed to assess serum concentrations of UDP-GlcNAc to conduct a comprehensive evaluation of the pharmacokinetics and pharmacodynamics associated with both GlcNAc and GlcN{middle dot}HCl. Using a destabilization of the medial meniscus (DMM) rat model, we performed micro-computed tomography and histopathological assessments to evaluate structural changes in the joint tissues. Additionally, we conducted bulk RNA sequencing, flow cytometry and ELISA to validate the efficacy of GlcNAc in anti-inflammatory immunoregulation and DNA repair in knee cartilage. Results: GlcNAc achieved higher peak serum concentrations and more efficient conversion to UDP-GlcNAc than GlcN{middle dot}HCl, with UDP-GlcNAc levels 4.57 times higher at 9 hours after administration. GlcNAc significantly attenuated KOA-like pathological changes, downregulated catabolic markers Mmp3 and Adamts4, decreased pain-related neural markers Pgp9.5 and Ngf, and alleviated pain sensitivity. RNA-seq identified 4,395 downregulated DEGs in DMM rats, of which GlcNAc upregulated 2,808 compared to only 391 by GlcN{middle dot}HCl. GlcNAc promoted DNA repair and adaptive immune cell differentiation pathways, and decreased serum IL-1{beta}, IL-6, and IL-17. Four candidate DNA repair genes, Hist1h2an, Poli, Ube2t, and Hells, were identified as significantly upregulated by GlcNAc, with GSEA confirming homologous recombination repair pathway enrichment. Conclusion: This study shows GlcNAc outperforms GlcN{middle dot}HCl in rat DMM knee osteoarthritis via multiple mechanisms, including 4.57-fold higher UDP-GlcNAc conversion, reduced cartilage degeneration, immune rebalancing, and DNA repair activation, supporting GlcNAc as a promising KOA candidate warranting further clinical study.

pharmacology and toxicology↗

bioRxiv2026

When does heterogeneity average out in coarse-grained ecological communities?

Ecological coarse-graining of individuals or species into aggregate variables, such as total biomass or regional abundance, is common practice, yet differences among species can still influence aggregate dynamics. We propose a metric for quantifying this irreducible dynamical heterogeneity. For small fluctuations near a stable equilibrium, we compare the aggregate fluctuation spectrum of the full dynamical system with that of the best Ornstein-Uhlenbeck model having the same dimension as the aggregate. The remaining spectral mismatch quantifies the dynamical effects of hidden differences that the fitted aggregate model cannot capture. For weakly interacting random community models at fixed collective interaction strength, we show that increasing species richness can either reduce or increase this heterogeneity, depending on how species interact. Our framework helps understand when ecological and evolutionary differences average out versus when their dynamical effects persist.

ecology↗

bioRxiv2026

Dog-human gene network colocalization links synaptic signalling and ubiquitination to compulsive disorders

Obsessive-compulsive disorder (OCD) is highly polygenic, and the largest genome-wide association study (GWAS), with 53,660 cases and 2,044,417 controls, identified only 30 loci, a small fraction of loci estimated to explain its heritability - too few to resolve biological pathways. Pet dogs develop a compulsive disorder (dogCD) similar to OCD. In a GWAS of dogCD with 2,584 dogs from the community science project Darwin's Ark, each dog locus explains at least 40-fold more phenotypic variance than each human OCD locus, giving power equivalent to the human GWAS with 80-fold fewer individuals. Combining the two GWAS identifies a 165-gene network undetectable in humans at current sample sizes. This network is enriched for genes expressed in neurons, particularly in the amygdala and cortex, and comprises four biological processes: excitatory-inhibitory synaptic transmission, axon guidance and neuron recognition, protein ubiquitination, and adenylyl cyclase-activating G-protein-coupled receptor signaling. Like most complex human traits, dogCD risk is likely driven by regulatory variation: fine-mapped dogCD SNPs are non-coding, and dogCD loci are enriched in candidate cis-regulatory elements (cCREs) in a new dog epigenomic atlas spanning eight brain regions. The cross-species network implicates an inherited risk architecture largely outside current OCD pharmacotherapy, and establishes pet dogs as a model for gene network discovery, particularly for conditions underpowered in human studies.

genetics↗

bioRxiv2026

Impaired glycolysis in bone underlies age-related bone loss in mice

Bone loss and metabolic dysregulation often coexist in older adults, yet the relationship between age-related changes in bone cell metabolism and bone-forming activity remains unclear. By modeling both conditions in aged mice and using in vivo stable-isotope tracing, we demonstrated that age-related decline in bone formation was coupled with an intrinsic impairment of glycolysis within bone tissue. Impaired glycolysis was associated with reduced protein levels of key glycolysis enzymes, and transcriptomics analyses revealed compensatory upregulation of glycolysis genes in aged bone. Metabolic intervention through long-term caloric restriction prevented age-related trabecular bone loss. Furthermore, osteoblast-specific genetic enhancement of glycolysis, via overexpression of HIF1 or the rate-limiting enzyme PFKFB3, significantly improved osteoblast function and increased bone mass in aged mice. Together, the study identifies glycolytic decline as a cell-autonomous driver of osteoblast deficiency and provides proof of principle that reactivating glycolysis can promote bone accrual in aging.

physiology↗

bioRxiv2026

mBACS enhances pseudouridine profiling through efficient and robust chemical conversion

Pseudouridine ({Psi}) is the most abundant RNA modification and regulates RNA stability, splicing, and translation. Utilizing the dual nucleophilic N1 and O2 of {Psi}, we previously developed 2-bromoacrylamide-assisted cyclization sequencing (BACS) for quantitative, single-base {Psi} detection. Here, we screened new dual electrophiles and developed methyl 2-bromoacrylate-assisted cyclization sequencing (mBACS), which achieves higher {Psi} conversion efficiency and lower false-positive rates, enabling more sensitive and robust {Psi} detection. The enhanced sensitivity of mBACS uncovered new {Psi} sites in human tRNAs. mBACS further revealed TRUB1 and PUS10 as the exclusive redundant writers of the conserved tRNA {Psi}55 modification and uncovered crosstalk between {Psi}55 and other tRNA modifications. It also revealed 5-fluorouracil as a pan-pseudouridine synthase inhibitor that induces widespread but site-specific pseudouridylation remodelling. Finally, mBACS supported robust {Psi} profiling from as little as 10 ng of total RNA, establishing it as a sensitive, quantitative, and low-input second-generation platform.

biochemistry↗

bioRxiv2026

Functional characterization of Rho GTPase activating proteins SYDE1 and SYDE2

The human genome encodes more than 60 proteins containing Rho GTPase activating protein (RhoGAP) domains, many of which remain understudied with respect to their target specificity and biological roles. SYDE1 and SYDE2 are two such orphan RhoGAPs, for which there are few studies characterizing their biochemical and cellular functions and conflicting reports identifying their cognate GTPases. We previously identified SYDE1 and SYDE2 in a screen for substrates of the c-Jun N-terminal kinases. Here, we show that SYDE1 and SYDE2 are preferentially phosphorylated by JNK1 relative to other mitogen-activated protein kinases (MAPKs) at sites proximal to a kinase docking region. Purified SYDE1 and SYDE2 are shown to have significant catalytic GAP activity toward RhoA, Rac1, and Cdc42. However, neither up- nor down-regulation of SYDE1/2 expression leads to detectable changes in bulk GTP loading of any of these GTPases. Nevertheless, we demonstrate that SYDE1 and SYDE2, in a partially GAP-dependent manner, increase cell spreading and number of focal adhesions, and promote more directionally persistent migration in HEK293 cells. Together, these findings establish SYDE1 and SYDE2 as robust JNK substrates with catalytic activity toward a set of Rho GTPases and reveal basic functions of SYDE1 and SYDE2 in regulating cell morphology, adhesion, and migration.

cell biology↗

bioRxiv2026

Structural-functional calibration corrects single-neuron identity errors in volumetric calcium imaging

Volumetric calcium imaging is increasingly used to capture larger neuronal populations at higher throughput, but high-speed axial sampling can compromise single-neuron identity. Here we identify cross-plane identity duplication as a structured error in volumetric imaging: anisotropic axial blurring and plane-wise functional segmentation can repeatedly detect the same neuron across adjacent planes, creating duplicate functional nodes that inflate neuronal counts and distort network phenotypes. We developed Comprehensive Label-Guided (CLG) volumetric imaging, a structural-functional calibration framework that uses nuclear labels as stable three-dimensional identity anchors for calcium signals. CLG combines nuclear labeling, deep-learning-based 3D segmentation, anatomical registration and identity-guided trace reassignment. In larval zebrafish whole-brain recordings, CLG resolved ~30,000 redundant detections and reduced estimated neuronal counts by 37-46%. In mouse visual cortex, CLG consolidated ~40% of putative duplicates and recovered over 2,000 active neurons missed by calcium-only analysis. Across baseline and perturbed conditions, calibration stabilized graph-derived measurements of hub organization, long-range correlations and network resilience. CLG therefore defines an anatomy-constrained identity-calibration layer for reliable single-neuron-resolved volumetric imaging.

neuroscience↗

bioRxiv2026

Selective GRAB sensors reveal distinct endocannabinoid dynamics in vivo

The endocannabinoid system modulates diverse physiological processes via two endogenous lipid ligands, 2-arachidonoylglycerol (2-AG) and anandamide (AEA); however, their specific spatiotemporal dynamics remain poorly understood owing to the lack of selective probes. Here, we developed GRAB2-AG2.0 and GRABAEA2.0, two genetically encoded fluorescent sensors that selectively detect 2-AG and AEA, respectively. Both sensors exhibited high apparent affinity and molecular specificity for their respective ligands, enabling the real-time detection of 2-AG and AEA release evoked by electrical stimulation in cultured neurons and acute brain slices. In freely behaving mice, these sensors revealed ligand- and context-specific eCB dynamics: aversive stimulation preferentially evoked 2-AG, whereas psychoactive drugs produced distinct 2-AG and AEA responses. Notably, {Delta}9-THC elicited a sustained 2-AG signal in the nucleus accumbens shell, and local deletion of Dagla markedly attenuated both this signal and {Delta}9-THC-induced hypolocomotion. These sensors therefore enable detecting 2-AG and AEA signaling seperately and reveal an endogenous 2-AG component of the behavioral response to {Delta}9-THC.

neuroscience↗

bioRxiv2026

Stress granule fusion is a mitochondria-coordinated process for stress adaptation

Stress granules are cytoplasmic membraneless organelles assembled during stress to maintain cellular homeostasis. Although fusion is a hallmark of liquid-like behavior of these condensates, whether this process carries functional significance beyond its physical coalescence remains unclear. Here, we show that stress granule fusion is facilitated by mitochondrial dynamics and membrane potential. Intact mitochondria actively associate with stress granules, facilitating fusion and maturation. In contrast, loss of mitochondrial membrane potential, along with disrupted mitochondrial structure or motility, weakens these interactions and reduces fusion frequency. We find that impaired fusion leads to the accumulation of immature granules that retain fewer sequestered components, which correlates with premature cell death. Remarkably, restoring mitochondrial membrane potential rescues granule fusion and enlargement, and is accompanied by increased cell viability and a corresponding increase in granule-associated apoptotic factors. These results demonstrate that stress granule fusion is actively coordinated by mitochondria rather than driven solely by passive coalescence, reshaping how condensate dynamics are understood to integrate with organelle function during cellular stress response.

cell biology↗

bioRxiv2026

Evolutionary Design of Membrane-Lytic Antimicrobial Peptides with Mixture of Experts

Antimicrobial peptides (AMPs) hold great promise in combating drug-resistant pathogens, yet current design models do not explicitly account for their primary mode of action, membrane disruption. To address this gap, we propose AMPainterV2, a model that designs membrane-lytic AMPs using generative adversarial imitation learning. AM-PainterV2 integrates a Mixture-of-Experts (MoE) policy network to support insertion, deletion, and mutation operations, thereby expanding the evolutionary design space. In vitro experiments demonstrate that all ten top-ranked peptides evolved from random sequences are active membrane-lytic AMPs, with the best candidate achieving a mean minimal inhibitory concentration (MIC) of 1.5 {micro}M and superior membrane-lytic activity compared to polymyxin B. Particularly, a deletion-only version of AMPainterV2 enables membrane-lytic AMP miniaturization, yielding six miniaturized peptides with comparable or improved activity and an average 36% length reduction. Collectively, AMPainterV2 advances mechanism-driven AMP design and offers a valuable tool for cost-effective AMP development.

bioinformatics↗

bioRxiv2026

Coronavirus papain-like protease antagonizes innate immunity by cleaving Importin α1 to disrupt nuclear transport

The Importin family, as key mediators of nucleocytoplasmic transport, represents a common target for viral immune evasion. However, whether coronaviruses directly manipulate Importin to disrupt nuclear trafficking and suppress antiviral immunity has remained unclear. In this study, we identify a previously unrecognized mechanism by which coronaviruses from all four genera subvert host innate immunity through the proteolytic inactivation of Importin 1, a key mediator of nuclear import of cargo proteins. We demonstrate that the membrane-associated papain-like protease (PLpro-TM) directly cleaves Importin 1 at specific glycine residues, G129 for PEDV and IBV PLpro, and G119 for MHV and PDCoV PLpro, thereby disrupting its nuclear import function. This cleavage impairs the nuclear translocation of multiple transcription factors (IRF3, STAT1, STAT2, and p65) and suppresses the expression of downstream antiviral genes, including IFN-{beta} and IFN-stimulated genes (ISGs). Importantly, cleavage-resistant mutants of Importin 1 (G129A or G119A) restore nuclear import capability and rescue IFN-{beta} signaling. Consequently, they exert a more potent inhibitory effect on viral replication than the wild-type Importin 1, fulfilling an antiviral role. Our work establishes PLpro-TM-mediated cleavage of Importin 1 as a conserved immune evasion strategy across coronaviruses and highlights this interaction as a potential target for broad-spectrum antiviral intervention. Author summaryThe nuclear transport of transcription factors is a critical checkpoint for the initiation of innate antiviral immunity. Here, we identify the PLpro-TM protein as a pan-coronavirus antagonist of nucleocytoplasmic trafficking and innate immune response. We demonstrate that PLpro-TM from four distinct coronavirus genera directly cleaves Importin 1 at specific glycine residues, thereby disabling its ability to mediate the nuclear import of key transcription factors and subsequent transcription of anti-viral genes. This work reveals a previously unrecognized, evolutionarily conserved immune evasion strategy shared across , {beta}, {gamma}, and {delta} coronaviruses. By uncovering the proteolytic inactivation of Importin 1 targeting by PLpro-TM, our findings not only resolve a long-standing question about how coronaviruses disrupt nuclear trafficking, but also establish PLpro-TM and Importin 1 as promising targets for the development of broad-spectrum antiviral therapeutics against current and emerging coronaviruses.

microbiology↗

bioRxiv2026

Temporal decoding of blood flow derived mechanical cues driving liver regeneration

Liver regeneration is initiated by rapid vascular changes, yet how blood flow-derived mechanical cues are decoded by liver sinusoidal endothelial cells (LSECs) remains unclear. Here, we found that partial hepatectomy generates temporally distinct mechanical cues in vivo, with a transient rise in shear stress followed by progressive sinusoidal dilation and endothelial stretch. To dissect these forces, we developed a liver regeneration chip that reconstructs sinusoidal architecture and enables independent or coupled manipulation of shear stress and mechanical stretch. Shear-dominant, stretch-dominant, and coupled mechanical modalities induce divergent LSEC regenerative programs involving extracellular matrix remodeling, cell-cycle regulation, cytoskeletal organization, and angiocrine signaling. Mechanistically, force-specific pathways, including Wnt, HIF-1, NF-{kappa}B, and Piezo1-associated signaling, mediate these outputs. Inhibition of these pathways after partial hepatectomy impairs hepatocyte proliferation and survival. These findings reveal that LSECs temporally decode blood flow-derived mechanical forces into distinct regenerative outputs, establishing endothelial mechanotransduction as an upstream regulator of liver regeneration. HIGHLIGHTS{blacksquare} Partial hepatectomy decouples transient shear from progressive stretch in vivo. {blacksquare}A liver regeneration chip recreates structure and distinct mechanical modalities in sinusoids. {blacksquare}Distinct mechanical modalities encode divergent LSEC regenerative programs. {blacksquare}Force-specific LSEC mechanotransduction supports hepatocyte proliferation and survival.

bioengineering↗

bioRxiv2026

Crop-specific agricultural land use and Rift Valley fever outbreaks in Uganda: a longitudinal compositional analysis

Rift Valley fever (RVF) is a mosquito-borne disease that can cause severe illness and death in both humans and livestock. Since 2016, Uganda has experienced recurrent but localized RVF outbreaks concentrated in the countrys southwestern region. The ecological drivers of this emergence remain unclear, as outbreaks have occurred throughout the year and show little association with meteorological patterns. We evaluated whether crop cultivation, particularly banana cultivation, is associated with RVF outbreak occurrence after controlling for likely confounders. We conducted a longitudinal study of human-inhabited 5 x 5 km grid cells across southwestern Uganda from 2016-2024. Annual Sentinel-2 satellite imagery composites were used to classify land cover into banana, coffee, ground crops, and non-crop categories, and the proportion of each land type was calculated for every grid-cell year. Because land cover proportions are compositional, isometric log-ratio transformations were used to estimate the independent effects of each land type. Confounding was addressed through propensity weighting, and crop substitution effects were estimated using g-computation. Banana land cover was the only land type consistently associated with increased RVF outbreak likelihood. In grid-cell years with low baseline banana cover, a 10-percentage point substitution from other land classes into banana was associated with a 1.64-fold increase in the odds of an RVF outbreak (95% CI: 1.17-2.29). In a simplified banana-only model, each 10-percentage point increase in banana cover was associated with a 1.21-fold increase in outbreak odds (95% CI: 1.02-1.43). Holding banana cover constant, substitutions among coffee, ground crop, and non-crop land showed weak or null associations. These findings suggest that banana cultivation may be an important ecological feature influencing RVF transmission dynamics and outbreak risk in southwestern Uganda. Author SummaryRift Valley fever (RVF) is a mosquito-borne disease that affects both humans and livestock and has caused repeated outbreaks in southwestern Uganda since 2016. While rainfall and flooding are often linked to RVF outbreaks elsewhere, Ugandas recent outbreaks have occurred across seasons and are not well explained by weather patterns alone. We investigated whether agricultural land use could help explain where outbreaks occur. Using satellite imagery from 2016-2024, we measured the amount of banana cultivation, coffee cultivation, ground crops, and non-crop land across southwestern Uganda and evaluated their association with RVF outbreak occurrence. We found that areas with greater banana cultivation were consistently more likely to experience RVF outbreaks, even after accounting for environmental and demographic factors. In contrast, coffee, ground crops, and non-crop land showed little evidence of an independent association with outbreak risk. These findings suggest that banana cultivation may create ecological conditions that favor RVF transmission. Rather than indicating that bananas themselves cause disease, the results point to banana-growing landscapes as potential environments where interactions among mosquitoes, livestock, and humans may increase transmission opportunities. Understanding these local ecological drivers could help improve surveillance, risk assessment, and prevention strategies for RVF in Uganda and other endemic regions.

ecology↗

bioRxiv2026

Conformational plasticity of the human norovirus GII.3 capsid reveals alternative P domain interaction networks

Human noroviruses (HuNoVs) are a leading cause of acute gastroenteritis worldwide, yet no effective antiviral therapeutics are currently available. Although environmentally induced capsid conformational changes associated with infectivity have been reported in murine noroviruses (MNVs), comparable conformational switching has not been demonstrated in HuNoVs. In this study, we generated HuNoV GII.3 virus-like particles (VLPs) using a baculovirus expression system and identified two distinct T = 3 particle populations coexisting within VLP preparations derived from a single strain through cryo-electron microscopy single-particle analysis. Comparative structural analysis revealed that these two T = 3 capsid conformations correspond to the resting and rising states of the protruding (P) domain. Rearrangement of the P domain alters intermolecular interactions between adjacent capsid subunits, resulting in distinct capsid surface architectures. In the resting state, intermolecular contacts were mediated predominantly by the P2 subdomain, with limited contribution from the P1 subdomain. In contrast, the rising state exhibited a shift toward an alternative interaction interface primarily involving the P1 subdomain. These findings demonstrate previously unrecognized structural polymorphism in the HuNoV capsid and provide evidence that conformational switching may occur in HuNoVs. Our results offer new insights into norovirus capsid dynamics and may inform future structure-based vaccine and antiviral drug development.

microbiology↗

bioRxiv2026

Near-atomic structures of human astrovirus capsids reveal a subunit-specific maturation mechanism

Human astrovirus (HAstV) is a major cause of acute gastroenteritis, yet the structural basis of capsid maturation and infectivity remains poorly understood. Here, we report near-atomic cryo-electron microscopy structures of HAstV serotype 4 in immature and mature states at 1.79 [A] and 1.73 [A] resolution, respectively. These structures reveal a subunit-specific maturation mechanism in which differential protease accessibility drives selective removal of spike (P2) domains. Structural comparisons show that only A-B dimers form a broad cavity beneath the P2 domains that is permissive for trypsin entry, whereas the corresponding region in C-C dimers is sterically restricted. Proteolytic maturation induces pronounced conformational rearrangements, particularly in subunit B, linking capsid geometry to asymmetric protease susceptibility. Despite these changes, the inner capsid architecture and presumptive RNA-associated densities remain conserved, indicating that genome release occurs at a later stage of infection. Together, our findings establish a mechanistic framework in which capsid geometry governs proteolysis-driven activation.

microbiology↗

bioRxiv2026

SteerAF: Distogram-based Steering of AlphaFold2 toward Alternative Conformations

End-to-end structure predictors, such as AlphaFold2, typically output only the dominant conformational state of a given protein, which is biased by the training dataset. Existing strategies for recovering alternative conformations are often computationally expensive and offer limited biological interpretability. Here, we present SteerAF, an inference-time optimization framework based on AlphaFold2 that leverages information encoded in the distogram derived from deep multiple sequence alignments (MSAs) to predict alternative protein conformations. Across four benchmark datasets, SteerAF matches or surpasses existing methods in predicting alternative conformations for the majority of systems. Sparse MSA-feature modifications generated via block gradient ascent exhibit a strong correlation with experimentally characterized functional residues, recovering them with approximately 50% precision in the tested proteins. Furthermore, SteerAF enables effective decoy selection in the absence of experimental structures, and its predictions can serve as seed structures for molecular dynamics simulations to map conformational landscapes. Thus, SteerAF provides an efficient and interpretable approach for predicting alternative conformations, offering a framework that can be extended to other similar predictors and problems.

bioinformatics↗

bioRxiv2026

Architecture of a portal complex embedded in the poxvirus core

Gene transcription within the viral core is a unique feature of poxvirus replication. Following entry into the cytoplasm, the poxvirus core dissociates from the lateral bodies and undergoes expansion, functioning as a compartment for early transcription. However, the mechanisms governing molecular exchange between the viral core and the host cytoplasm remain poorly understood. Here, we determine the structures of the portal complex and its pore on the poxvirus core at 7.1 [A] and 4.9 [A] resolution, respectively, using cryo-electron tomography and sub-tomogram averaging. The pore is assembled from three viral proteins, E8, E6, and L3, for which we constructed an atomic model. Structural and channel analyses reveal that the pore satisfies the geometric and electrostatic requirements for the transport of RNA and smaller negatively charged molecules, while excluding double-stranded DNA and cytosolic DNA sensors. Together, our findings establish a structural framework for understanding the assembly and function of the poxvirus portal complex and identify potential targets for antiviral intervention.

biophysics↗