FluEmbed predicts influenza A (H3N2) antigenic drift with high accuracy, achieving a Spearman correlation of 0.67-0.80 from RNA sequences without alignments.
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PLOS Computational Biology
Public Library of Science · Genomics & Bioinformatics · ISSN 1553-734X, 1553-7358
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Population aging in Republic of Korea by 2050 may decrease outbreak risk, but behavioral changes can offset this effect, complicating infectious disease predictions.
Long-range inhibitory synapses in spiking networks promote supercritical activity, with networks exhibiting more pronounced criticality deviations than those with shorter-range inhibition.
Influpaint, a diffusion model-based approach, accurately forecasts influenza epidemics with 30% surveillance and 70% simulated data, outperforming traditional methods in retrospective tests.
A unified framework reveals directional neuronal interactions and sensory-behavioral encoding in mouse auditory cortex with up to 30% improvement over existing methods.
Mixed updating in structured populations reveals that most unweighted undirected graphs have short fixation times across varying probabilities of death-Birth and Birth-death processes.
PEtab Select standardizes model selection specification and supports billions of model alternatives, enabling efficient comparison in biological system modeling.
GeoEPred achieves over 10% higher accuracy than existing models in predicting Gram-negative bacterial effector proteins by integrating sequence and structural data.
Vasopressin stores in hypothalamic neurons can sustain secretion during prolonged osmotic stress by activity-dependent mRNA regulation, acting as a long-term memory of demand.
Humans adapt decision-making in approach-avoidance conflicts by reweighting features and aligning with optimal values, especially under threat, with a 2-fold increase in value integration.
Joint modeling of decision dynamics improves disentangling of working memory, reinforcement learning, and cognitive control, revealing clinical differences in schizophrenia.
A compartmentalized SCN model reveals that intrinsic phase differences between dorsal and ventral regions confer temperature resistance in mammalian circadian rhythms.
Receptor trafficking and endosomal dynamics significantly influence GPCR signaling, with internalized FSHRs producing strong endosomal responses despite low internalization rates.
GAMA enables interpretability of deep-generative models trained only on positive biological sequences, revealing key features in antibody-antigen interactions.
Hybrid modeling reveals hidden dormant cell states and metabolic interactions in a Clostridium coculture under perfusion mode, with significant biological reaction insights.
iPALM reveals distinct 3D organization of key Z-disc proteins in Zygaena filipendulae cardiac muscle with sub-10nm precision.
SpaHCC uncovers spatially coherent cell-cell communication signals with significant biological insights in disease tissues, including Alzheimer’s disease, by integrating multi-modal data.
DEFT achieves over 90% accuracy in classifying gut bacterial enzymes at all EC levels, outperforming existing methods and enabling rapid genome-wide annotations.
A POMDP model reveals subtle, robust differences in inhibitory control related to ADHD scores in children, challenging traditional binary classifications.
A zero-inflated telegraph model improves single-cell transcriptomic analysis by accurately capturing bimodal gene expression and estimating transcriptional burst parameters.
TOPAZ accurately infers parameters and distinguishes between models in spatial single-cell data using topological analysis and Bayesian methods, with 100% success in simulations.
Glycan reachability analysis reveals tissue-specific biosynthetic potential with quantitative scores, uncovering hidden differences beyond binary predictions across 54 human tissues.
Mechanical polarity, measuring force alignment, predicts migration stability in glioblastoma cells, with high polarity correlating to more directed movement.
Parameter choices in SV benchmarking frameworks significantly influence matching behavior and evaluation outcomes, as shown across HG002 and NA12878 samples.
Triplet-based species tree estimation with STELAR is generally robust to gene tree rooting, matching or surpassing quartet methods like ASTRAL under various conditions.
Shared genetic and immunological pathways in periodontitis and sJIA reveal SELP as a key diagnostic biomarker with over 0.8 AUC performance.
Pairwise case-control approach with five controls per case enables efficient, unbiased analysis of large pathogen datasets, matching divide-and-conquer methods in performance.
Coupling social dilemma layers with opinion dynamics layers in multilayer networks significantly boosts cooperation, with increases observed across various network types and rules.
Nematic cortical structures in C. elegans zygotes ensure robust polarization by aligning actin bundles and tension, especially during lateral symmetry breaking.
Leff, a spectral measure of effective diversity, quantifies the independent alignment positions in MSAs, revealing nearly half the diversity is constrained by functional and evolutionary factors.
Distributional multi-agent reinforcement learning exhibits choice hysteresis and perseveration driven by return discretization, revealing new insights into decision-making dynamics.
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Moving areas, week to 3 Oct 2026
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