Results 101 to 110 of about 10,772,271 (320)
Macrophage‐derived MLKL in alcohol‐associated liver disease: Regulation of phagocytosis
EtOH causes leaky gut allowing bacteria and PAMPs into the liver, resulting in hepatic inflammation and injury. We demonstrate that LPS induces STAT1‐mediated expression and phosphorylation of MLKL in macrophages and identify a novel function that myeloid MLKL translocates to phagosomes and lysosomes and regulates phagocytosis, which contributes to the
Xiaoqin Wu +16 more
wiley +1 more source
ADAM proteases: Emerging role and targeting of the non-catalytic domains
ADAM proteases are multi domain transmembrane metalloproteases that cleave a range of cell surface proteins and activate signaling pathways implicated in tumor progression, including those mediated by Notch, EFGR, and the Eph receptors.
N. Saha +3 more
semanticscholar +1 more source
qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness
In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang +3 more
wiley +1 more source
The Prediction of Intrinsically Disordered Proteins Based on Feature Selection
Intrinsically disordered proteins perform a variety of important biological functions, which makes their accurate prediction useful for a wide range of applications.
Hao He, Jiaxiang Zhao, Guiling Sun
doaj +1 more source
[Stammbuch Andreas Adam Essig] / Andreas Adam Essich [PDF]
[STAMMBUCH ANDREAS ADAM ESSIG] / ANDREAS ADAM ESSICH [Stammbuch Andreas Adam Essig] / Andreas Adam Essich (1) Cover (1) Einträge Bl. 2 - 50 (7) Einträge Bl. 51 - 100 (47) Einträge Bl. 101 - 150 (91) Einträge Bl.
Essig, Andreas Adam
core
PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley +1 more source
The endoplasmic reticulum (ER) supports biosynthesis of proteins with diverse transmembrane domain (TMD) lengths and hydrophobicity. Features in transmembrane domains such as charged residues in ion channels are often functionally important, but could ...
M. J. Shurtleff +17 more
semanticscholar +1 more source
Adam J. Gabris, 2007 Baseball Inductee to the Billiken Hall of Fame (Graduate of the College of Public Service ...
Unknown creator; St. Louis University
core
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho +5 more
wiley +1 more source
Azamacrocycles provide a tunable platform for rapid N‐carboxyanhydride (NCA) Ring‐Opening Polymerization (ROP). Changing the methylation pattern switches the macrocycle from an external catalyst (N14Me3) to a covalent initiator‐catalyst (IniCat, N14Me1), delivering controlled polypeptide growth under open‐vessel conditions.
Paulina Maksym +10 more
wiley +2 more sources

