1816 papers
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.
The paper introduces CHERISH, a hierarchically supervised computational pathology framework that leverages routine H&E slides to accurately stratify HER2 categories and predict ERBB2 amplification risk by embedding clinical testing logic into its architecture, thereby overcoming the limitations of conventional models and reducing the need for resource-intensive confirmatory testing.
This paper introduces Spec-ReX, a causal responsibility-based Explainable AI method for vibrational spectroscopy in cancer diagnostics, and rigorously validates its performance against other XAI techniques across in silico, in vitro, and ex vivo datasets to address the critical need for transparent clinical decision-making.
This study reveals that cohesin-mediated loop extrusion tethers adjacent replication forks to promote their slowing and reversal during replication stress by inhibiting PRIMPOL, thereby integrating genome organization with DNA damage tolerance to protect genomic stability.
The Artemis I mission induced genotype-dependent changes in seed amino acid profiles and post-flight growth in *Arabidopsis thaliana*, revealing that branched-chain amino acid metabolism is a critical factor influencing plant responses to deep-space exposure.