Results 201 to 210 of about 936,641 (263)
Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg +18 more
wiley +1 more source
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou +8 more
wiley +1 more source
A periosteum‐inspired Janus piezoelectric scaffold converts micromechanical forces into electrical signals and synergizes with controlled resveratrol release. This dual action reprograms endothelial metabolism, drives H‑type vessel formation, and restores bone–vessel coupling in diabetic bone defects.
Kai Wang, Kai Jiang
wiley +1 more source
CCL3 and IL‐7 Synergistically Enhance CAR‐T Efficacy in Solid Tumors
Synergistic delivery of CCL3 and IL‐7 by CAR‐T cells overcomes the immunosuppressive tumor microenvironment by enhancing cell infiltration, survival, and local immune reprogramming. This also establishes positive feedback that amplifies anti‐tumor activity and memory responses in both CAR‐T and endogenous T cells, presenting a robust therapeutic ...
Huanpeng Chen +12 more
wiley +1 more source
A brain‐targeted nanoparticle enables delivery of a therapeutic nanobody (Nb.29E9) that inhibits pathogenic GSK3β signaling. This intervention restores AMPK/mTORC1/TGFβ homeostasis, attenuates neuroinflammation and oxidative stress, and promotes long‐term functional recovery after ischemic stroke.
Lan Li +14 more
wiley +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source
Phylogenetic and biochemical analyses of the heme transporter CydDC reveal its functional conservation throughout bacterial evolution and demonstrate its unique asymmetric allosteric mechanism. Furthermore, impairment of CydDC function directly affects bacterial antibiotic resistance and likely compromises antibiotic efficacy through drug efflux.
Lili Yang +19 more
wiley +1 more source

