Results 241 to 250 of about 1,253,874 (284)

The Disordered Region of ASXL1 Acts as an Auto‐Regulator Through Condensation

open access: yesAdvanced Science, EarlyView.
ASXL1's long IDR encodes an electrostatic “basic platform + acidic brake” that autoregulates condensation. Truncation at a clinical hotspot lifts this brake, forming condensates that retarget BRD2, remodel local chromatin accessibility, and impair neutrophil maturation.
Xiao Fang, Qiwei Li, Wenqing Zhang
wiley   +1 more source

Dipiperazine‐Phenyl Derivatives Based on Convergent Molecular Platforms Can Reverse Multidrug Resistance in Gram‐Negative Bacteria by Inhibiting Efflux and Permeabilizing Cell Membranes

open access: yesAdvanced Science, EarlyView.
By integrating a convergent molecular platform strategy, this study designed a novel dual‐target C5 to combat multidrug‐resistant Gram‐negative bacteria. C5 synergistically enhances antibiotic efficacy by inhibiting efflux pumps and increasing bacterial membrane permeability.
Jiale Dong   +11 more
wiley   +1 more source

What Is Known About Athlete Engagement: A Scoping Review. [PDF]

open access: yesSports Med Open
De Francisco C, Scurtu MC, Vílchez MP.
europepmc   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

open access: yesAdvanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen   +7 more
wiley   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

open access: yesAdvanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang   +5 more
wiley   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

open access: yesAdvanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang   +8 more
wiley   +1 more source

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