Machine learning model predicts protein binding on gold nanoclusters

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
EurekAlert!

Machine learning and supercomputer simulations help researchers to predict interactions between gold nanoparticles and blood proteins

The cover image of 10/2024 issue of Bioconjugate Chemistry, displaying a tunable ligand-protected gold nanocluster as a drug delivery system with high affinity to integrin αvβ3, a key regulator of ...
AlphaGalileo

Machine Learning Model predict protein binding on gold nanoclusters - Opens doors for next-generation biomedical nanomaterials

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Nanowerk

Chemists develop machine learning model for atomic-level interactions

(Nanowerk News) What exactly happens at the tiny scale at which individual atoms exist and interact? SMU chemist Elfi Kraka and her colleagues have been working on developing a computational tool ...

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Forbes

The Vital Difference Between Machine Learning And Generative AI

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...
Nanowerk

Machine Learning model predicts protein binding on gold nanoclusters for biomedicine

A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...