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2,140 papers
This paper introduces Caduceus, a family of MoE-enhanced foundation models built with a hierarchical pre-training paradigm to jointly integrate biological and natural language, and incorporates a multi-task instruction tuning phase, enabling robust protein parsing and natural language question answering.
This work believes this is the first evidence demonstrating an association between these clinically relevant biomarkers of Alzheimer’s disease and phenotypes of brain aging in nonhuman primates, underscoring their importance as models of aging and neurodegenerative disease.
These findings highlight benzimidazole derivatives, particularly 16a and 17b and their nanoparticle formulations, as promising anticancer candidates, driven primarily by strong cellular potency and favorable safety, substantiating their potential as lead candidates for further optimization and therapeutic development.
Data indicate that platelets support greater activity of FVIII than PLV through stabilization against dissociation of the A2 domain and protection from degradation by APC.
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It is shown that cellulosomal principles can operate in highly reduced cohesin‐dockerin systems, and two additional candidate interacting partners for ClcC appear to bind via a non‐canonical interface.
HydroGym is introduced, a solver-independent reinforcement learning platform providing more than 60 validated, openly available flow control environments spanning from canonical laminar flows to complex turbulent flows, with systematic progression in the Reynolds number up to Re = 4 × 105, and Mach number variations in...
It is suggested that biogenically synthesized MgO NPs hold considerable promise as antibacterial and antibiofilm agents against MDR Gram-negative pathogens.
This study provides the first report of negative chemotaxis responses in S. meliloti and provides the first description of negative chemotaxis in S. meliloti's chemotaxis to dipeptides.
This study provides a practical framework for creating intrafilamentary porosity into 3D-printed PCL scaffolds with improved surface-mediated biological performance.
The findings indicate that an increase in oxidative stress parameters arose at the earlier phase of ischemic neurodegenerative processes, while SREBP-1 expression increased in the mid-phase.
Pathway analysis revealed that TNRC6A predominantly regulates RNA processing and miRNA-mediated silencing, whereas TNRC6B modulates the mitogen-activated protein kinase and inflammatory responses, indicating that TNRC6A and TNRC6B function cooperatively and distinctly in miRNA-mediated gene regulation.
It is found that heat-induced CHH methylation targets specific genomic loci in a developmental stage-specific manner, with a differentially methylated window located within 6 kb of AT5G44410, an F-box protein-encoding gene.
Proof of concept for watermarking AI-generated proteins while preserving biological function.
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
Scientists are using AlphaFold to strengthen a photosynthesis enzyme for resilient, heat-tolerant crops.
Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.
AlphaFold has revealed the structure of a key protein behind heart disease
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