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2,054 papers
The PTM‐related six‐gene model showed potential for prognostic stratification and characterization of immune‐related features in LUAD and demonstrated that the low‐risk group may be more likely to benefit from immunotherapy.
A strategic platform that combines a novel ultrasensitive magnetic resonance (MR) contrast agent with deep learning to significantly enhance the tumor‐to‐normal ratio (TNR) and enabled the reconstruction of three‐dimensional tumor models, offering clinicians an intuitive visualization of tumor structure for precise dia...
Deep proteomic profiling of human carotid plaques identifies molecular signatures of symptomatic atherosclerosis that extend beyond conventional histopathology, which implicate neutrophil activation and inflammatory signaling pathways as key determinants of plaque vulnerability.
The 1H, 13C, and 15N resonance assignments of the Amblyomin-X Kunitz domain obtained by multidimensional NMR spectroscopy provide the first detailed NMR characterization of the Amblyomin-X Kunitz domain l.
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A protein CT analysis plugin for PyMOL v3.6.1 with a graphical user interface (GUI), automatic installation, and novel features developed through integration with PyMOL’s application programming interface (API).
This study enhances the understanding of the E. coli-genome nature and suggests the existence of specific and experimentally testable novel prions in this organism, and moves a step forward towards the identification of new prion proteins in bacteria.
Milk proteins deliver nutritional, functional, and bioactive properties that alternative protein sources cannot adequately replicate, yet conventional livestock-based production faces compounding constraints of scalability, resource intensity, and sustainability. Precision fermentation offers a structurally distinct so...
The first numerical study of continuous-time flow and diffusion models is presented, in which time-dependent potentials and states are represented as tensor networks, and a coherent amplitude encoding is prepared that can be post-processed by quantum algorithms offering a quadratic advantage over Monte Carlo sampling.
Nucleoside natural products exhibit diverse chemical architectures and potent biological activities, yet the biosynthetic strategies that generate their structural diversity remain incompletely understood. Here, we elucidate the early stage biosynthetic pathway of the cytidyl-cyclitol natural product K-563 and its deri...
A multimodal early warning system integrating PROs, laboratory trajectories, and large language model-extracted clinical text features to enable real-time, automated complication surveillance substantially outperforms single-modality approaches for detecting postoperative complications after esophagectomy.
Quantitative proteomic profiling of acquired chemoresistant oesophageal adenocarcinoma cell models identifies broad adaptive changes with both heterogeneous and recurrent components, and suggests a platinum-class component supported by overlap between oxaliplatin- and carboplatin-resistant models.
Postoperative CRP trajectory patterns are significantly associated with complication severity after esophagectomy, and the High-Persistent trajectory identifies a high-risk subgroup, and the D3/D1 ratio enables early risk stratification by POD 3.
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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