AI Medical Compendium Journal:
Angewandte Chemie (International ed. in English)

Showing 1 to 10 of 27 articles

Asymmetric Manganese Sites in Covalent Organic Frameworks for Efficient Nitrate-to-Ammonia Electrocatalysis.

Angewandte Chemie (International ed. in English)
The electrocatalytic nitrate reduction reaction (NO3-RR) holds tremendous potential for remediating NO3- pollution in groundwater while enabling clean ammonia (NH3) production. However, most catalysts achieve high conversion efficiency relying on hig...

An All-in-one Nanohole Array for Size-Exclusive Trapping and High-Throughput Digital Counting of Single Extracellular Vesicles for Non-invasive Cancer Screening.

Angewandte Chemie (International ed. in English)
The analysis of single small extracellular vesicles (sEVs) could distinguish the heterogeneity of sEVs thus better extract tumor-related signatures. Current protocols for the analysis of single sEV rely mainly on the advanced techniques and require l...

Machine learning-augmented molecular dynamics simulations (MD) reveal insights into the disconnect between affinity and activation of ZTP riboswitch ligands.

Angewandte Chemie (International ed. in English)
The challenge of targeting RNA with small molecules necessitates a better understanding of RNA-ligand interaction mechanisms. However, the dynamic nature of nucleic acids, their ligand-induced stabilization, and how conformational changes influence g...

Fullerene Network-Buffered Platinum Nanoparticles Toward Efficient and Stable Electrochemical Ammonia Oxidation Reaction for Hydrogen Production.

Angewandte Chemie (International ed. in English)
Green ammonia is a promising hydrogen carrier due to its well-established production, storage, and transportation infrastructure. Moreover, hydrogen production via electrochemical ammonia oxidation reaction (AOR) requires a significantly lower theore...

Machine Learning-Assisted Prediction of Photothermal Metal-Phenolic Networks.

Angewandte Chemie (International ed. in English)
Photothermal therapy (PTT) demonstrates significant potential in cancer treatment, wound healing, and antibacterial therapy, with its efficacy largely depending on the performance of photothermal agents (PTAs). Metal-phenolic network (MPN) materials ...

All-Atom Protein Sequence Design Based on Geometric Deep Learning.

Angewandte Chemie (International ed. in English)
Designing sequences for specific protein backbones is a key step in creating new functional proteins. Here, we introduce GeoSeqBuilder, a deep learning framework that integrates protein sequence generation with side chain conformation prediction to p...

High-Precision Viral Detection Using Electrochemical Kinetic Profiling of Aptamer-Antigen Recognition in Clinical Samples and Machine Learning.

Angewandte Chemie (International ed. in English)
High-precision viral detection at point of need with clinical samples plays a pivotal role in the diagnosis of infectious diseases and the control of a global pandemic. However, the complexity of clinical samples that often contain very low viral con...

Decoding Nanomaterial-Biosystem Interactions through Machine Learning.

Angewandte Chemie (International ed. in English)
The interactions between biosystems and nanomaterials regulate most of their theranostic and nanomedicine applications. These nanomaterial-biosystem interactions are highly complex and influenced by a number of entangled factors, including but not li...

Discovery of the Lanthipeptide Curvocidin and Structural Insights into its Trifunctional Synthetase CuvL.

Angewandte Chemie (International ed. in English)
Lanthipeptides are ribosomally-synthesized natural products from bacteria featuring stable thioether-crosslinks and various bioactivities. Herein, we report on a new clade of tricyclic class-IV lanthipeptides with curvocidin from Thermomonospora curv...

Small Data Can Play a Big Role in Chemical Discovery.

Angewandte Chemie (International ed. in English)
The chemistry community is currently witnessing a surge of scientific discoveries in organic chemistry supported by machine learning (ML) techniques. Whereas many of these techniques were developed for big data applications, the nature of experimenta...