Results 191 to 200 of about 3,730 (233)

CNC–PNIPAM Drug Delivery System Improves Endometrial Receptivity via Natural Killer Cell Immune Tolerance in Endometriosis

open access: yesAdvanced NanoBiomed Research, EarlyView.
An injectable CNC–PNIPAM hydrogel is developed for intrauterine co‐delivery of levonorgestrel and botropase. This platform reprograms uterine natural killer cells toward an immune–tolerant phenotype and enhances endometrial receptivity marker expression. The results demonstrate a promising strategy to counteract endometriosis–associated infertility and
Zhou Liang   +9 more
wiley   +1 more source

From Covalent Traps to Fluorescent Beacons: The Expanding Arsenal of Chemical Probes for Studying Ubiquitin and Ubiquitin‐Like Proteins

open access: yesAngewandte Chemie, EarlyView.
A large variety of chemistry‐based ubiquitin probes have been developed. ABSTRACT Ubiquitin (Ub) and ubiquitin‐like proteins (Ubls) orchestrate diverse cellular processes through reversible post‐translational modification of target proteins. Their conjugation is governed by a cascade of E1 activating, E2 conjugating, and E3 ligating enzymes, while ...
Saibal Chanda, Wenshe Ray Liu
wiley   +1 more source

Steering the Shape‐shifting of Bullvalene‐PdII Complexes Through Steric and Geometric Strain

open access: yesAngewandte Chemie, EarlyView.
This study explores the use of bis‐pyridyl substituted bullvalenes as dynamic shape‐shifting ligands within cis‐capped PdII complexes. The ring position of the pyridyl nitrogen is critical, leading to a range of Pd2L2 metallacycles and simple PdL complexes, each with distinctive bullvalene isomer preferences (represented in the figure by A‐D isomer ...
André P. Birvé   +2 more
wiley   +1 more source

Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models

open access: yesAngewandte Chemie, EarlyView.
AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang   +7 more
wiley   +1 more source

Bismuth Bicycles. [PDF]

open access: yesJ Pept Sci
Voss S   +8 more
europepmc   +1 more source

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