4605 papers
This study identifies a calcium-calpain-ALIX signaling axis as the critical mechanism that converts reversible Gasdermin-D pore formation into irreversible pyroptotic cell death by triggering calcium influx to cleave the membrane repair protein ALIX, thereby disabling the ESCRT machinery and preventing membrane repair.
This study identifies SMAD2 as a critical regulatory hub in mast cells that integrates TGF-β and antigen signaling to simultaneously control cell proliferation, survival, and the production of both anti-inflammatory and pro-inflammatory responses.
This paper introduces an information-geometric framework that reframes latent dimension selection for macromolecular ensembles as a thermodynamic optimization problem, deriving a three-stage protocol to identify the optimal dimensionality by quantifying compression costs and geometric distortions, thereby outperforming existing statistical heuristics in recovering physically meaningful representations.
This study demonstrates that antibody binding induces "focused flexibility"—a state of local antigen destabilization at the epitope interface coupled with global stabilization—which, in conjunction with FcRn-mediated endosomal sorting, creates an optimally unstable processing intermediate that dramatically enhances the efficiency of CD4+ T cell epitope generation.
This paper presents a computational biophysical framework for pre-assay classification of allosteric kinase ligands that integrates structural, hydration, and dynamic analyses to prioritize candidates for experimental validation while explicitly avoiding claims of causal inhibition or clinical efficacy.
This study utilized a self-mark-release-recapture method in Dar es Salaam, Tanzania, to determine that wild *Aedes aegypti* mosquitoes exhibit limited dispersal (mean 94.5m) and high survival rates (average 13.5 days), providing critical ecological parameters necessary for optimizing release-based vector control strategies against arboviral diseases.
This paper introduces MendelianBench-5K, a frequency-stratified benchmark of 5,000 cases, to demonstrate that large language models exhibit significant performance biases in diagnosing monogenic diseases, achieving high accuracy for well-studied genes while struggling with rare, recently characterized ones.
By integrating multi-predictor pathogenicity filtering with membrane-specific stability analysis, this study identifies and characterizes 14 rare, structurally destabilizing missense variants in the GIP receptor (GIPR) that are likely to impact function and serve as a foundation for future pharmacogenetic research.
This contemporary review synthesizes evidence on the antioxidant and anticancer properties of onion and tomato phytochemicals in prostate cancer prevention, highlighting how artificial intelligence-driven approaches like molecular docking and machine learning can overcome current translational barriers by systematically prioritizing bioactive compounds and elucidating their molecular mechanisms despite existing clinical ambiguities.
The paper introduces Curvana, an open-source R package and Shiny web application designed to automate and streamline the end-to-end analysis of Atomic Force Microscopy (AFM) force-distance curves, offering a user-friendly solution for converting raw data into meaningful interaction metrics without requiring coding expertise or complex local installations.