Results 171 to 180 of about 332,063 (283)
This study identifies palmitoylation as a novel regulatory modification of SMAD4, mediated by ZDHHC22/APT2. It activates fatty acid synthesis, creating a self‐reinforcing SMAD4–FASN–palmitate feedback loop that drives pancreatic cancer growth and enhances radiotherapy sensitivity.
Yang Wang +16 more
wiley +1 more source
Monotherapy cancer drug-blind response prediction is limited to intraclass generalization. [PDF]
Herbert WG +3 more
europepmc +1 more source
D3R Grand Challenge 2: blind prediction of protein-ligand poses, affinity rankings, and relative binding free energies. [PDF]
Gaieb Z +12 more
europepmc +1 more source
ABSTRACT Base editors enable precise genome modification and have emerged as a promising therapeutic approach for correcting diseases caused by single‐nucleotide variants. While the current efficient version of adenine base editors (ABEs), such as ABE8e, exhibits exceptional efficiency for A‐to‐G conversions, their clinical translation is hindered by ...
Jiawei Yao +12 more
wiley +1 more source
Foundation models and deep learning for cancer drug response prediction: a framework for data, metrics, and validation. [PDF]
Sada Del Real K +5 more
europepmc +1 more source
G3BP1 Succinylation at K413 is Critical for Cardiac Function by Modulating PI3K‐AKT‐mTOR Signal Axis
Schematic illustrating the impact of G3BP1 succinylation at K413 on cardiac function. In the healthy human heart, G3BP1 succinylation maintains homeostatic mTOR signaling. In patients with dilated cardiomyopathy (DCM) and heart failure (HF), G3BP1 de‐succinylation induces RagA expression and disrupts the binding of the TSC1/2 complex, leading to the ...
Yuan Zhang +9 more
wiley +1 more source
More protein-ligand data are needed for AlphaFold-like models to enable drug discovery. [PDF]
Singh S +3 more
europepmc +1 more source
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska +14 more
wiley +1 more source
DeepLMI: deep feature mining with a globally enhanced graph convolutional network for robust lncRNA-miRNA interaction prediction. [PDF]
Huang Z +7 more
europepmc +1 more source
The SAMPL4 host-guest blind prediction challenge: an overview. [PDF]
Muddana HS +3 more
europepmc +1 more source

