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Gold nanoclusters could selectively recognize chiral biomolecules to help detect certain diseases
An extensive computational study by researchers from Finland's University of Jyväskylä predicts that gold nanoclusters could ...
Researchers have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein ...
An extensive computational study predicts that gold nanoclusters could selectively recognize chiral biomolecules. This ...
Google DeepMind, Google LLC’s artificial intelligence research unit, today detailed a new version of its AlphaFold neural network for biologists. One of the factors that influence the behavior of a ...
A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design of bioimaging, sensing and drug delivery materials. (Nanowerk News) The ...
Arizona State University researchers have established a thermodynamic framework that links water adsorption on coated magnetite nanoparticles to immune recognition, circulation time and drug ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational model that could expedite the use of nanomaterials in biomedical applications.
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 ...
An extensive computational study by researchers from the University of Jyväskylä (Finland) predicted that gold nanoclusters ...
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