4404 papers
This meta-analysis of six blood transcriptomic datasets identifies a highly reproducible host signature for active tuberculosis characterized by robust innate immune activation and translational suppression, while finding no consistent blood-based signature to distinguish latent tuberculosis from healthy controls.
This study establishes a reproducible, segment-resolved reference for Piscine orthoreovirus 1 codon usage, revealing significant heterogeneity across its ten genome segments and distinct patterns of adaptation or mismatch relative to salmon host coding preferences.
This study optimizes a two-step asymmetric PCR protocol for aptamer screening by systematically refining symmetric PCR conditions and key asymmetric parameters, ultimately identifying primer ratios, cycle numbers, and reaction components as critical factors to enhance the yield and purity of single-stranded DNA.
This study evaluates the performance of various model-based and graph-based clustering algorithms under different spatial and preprocessing conditions to provide practical guidance for accurately inferring population structure and allele frequencies in genomic datasets.
This paper introduces BEAM-1, a biophysics-informed multiscale mathematical framework that integrates Fick's and Einstein-Stokes laws to predict and rank the blood-brain barrier permeability of 25 CNS drugs, successfully identifying Levodopa and Temozolomide as the most permeable while offering a cost-effective alternative to traditional in vitro testing.
This study employs an integrated bioinformatics approach to characterize the hypothetical protein RvY_05612 from *Ramazzottius varieornatus*, identifying it as a 98-amino-acid, basic, transmembrane Sec61β family protein localized to the endoplasmic reticulum that likely facilitates intracellular protein transport.
This study reveals that Citrus bark cracking viroid-induced stunting in hop is driven by a persistent, coordinated suppression of photosynthesis and nitrogen acquisition that begins in spring and leads to irreversible biomass loss, rather than a dominant immune-signaling response.
This study introduces a fully automated "virtual doctor" that diagnoses ADHD from standard 128-channel EEG recordings without expert intervention by utilizing a deep learning pipeline to identify diagnostically significant neurophysiological patterns—specifically in the 150-300 ms window—that traditional statistical methods overlook, thereby eliminating the human-expert bottleneck in EEG interpretation.
This study establishes a reproducible machine learning-assisted SHG microscopy workflow that reveals distinct collagen microarchitectures between fibrosis and trabecular bone in bone marrow biopsies, demonstrating that specific annotation strategies are critical for accurate quantitative morphometric analysis of tissue remodeling.
This study demonstrates that the SARS-CoV-2 main protease (Mpro) has remained evolutionarily constrained by structural and functional requirements since the Omicron era, preserving its substrate recognition and supporting its viability as a robust, long-term antiviral target.