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Similar Items: Influenza hemagglutinin subtypes have different sequence constraints despite sharing extremely similar structures

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ULSL: Unified Latent and Similarity Learning for robust multi-omics cancer subtype identification
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PZLAST-MAG: full length protein sequence similarity search server of large-scale MAG proteins
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Structural comparison of the influenza A H5N1 hemagglutinin protein models across the 2001–2024 strains reveals cross-species similarity in the 2024 avian, human, and mammalian variants
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Structural comparison of the influenza A H5N1 hemagglutinin protein models across the 2001–2024 strains reveals cross-species similarity in the 2024 avian, human, and mammalian variants
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Drivers of ecosystem stability differ with the intensity of extreme climatic events
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Upland Switchgrass Cultivars have Similar Bioethanol Production Profile under Separate Hydrolysis and Fermentation: A Course Based Undergraduate Research Experience (CURE) in Biofuel Production
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Comprehensive mapping of identical sequences across human proteins emphasizes the widespread issue of shared epitopes in self-antigens
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How similar are species names and why does this matter for biodiversity data
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Correction to “Senescence‐Driven Remodeling Defines an Aggressive and Immunomodulatory Subtype of Endometriosis”
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Deciphering interferon functions in avian influenza using receptor knockout models in the natural host
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Unified climate factors predict influenza outbreak seasonality across tropical and temperate regions
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Comprehensive hallmark gene sequence, genomic and structural analysis clarifies new and established taxa within the Picornavirales
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Correction to “Senolytic Treatment Reduces Acute and Chronic Lung Inflammation in an Aged Mouse Model of Influenza”
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[Ga]Ga-FAPI-04 PET/CT for subtyping and prognostication of IgG4-related disease
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Temporal variability in grassland leaf water content is strongly and similarly dependent on soil moisture among dominant grasses
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Erratum of "Temporal variability in grassland leaf water content is strongly and similarly dependent on soil moisture among dominant grasses"
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The impact of biologically relevant negative samples on machine learning-based B-cell epitope prediction for Influenza A
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Global vegetation responses to wet and dry soil moisture extremes
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