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 interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations. The new methodology opens ways to simulate efficacy of gold nanoparticles as targeted drug delivery systems in precision nanomedicine.
source https://www.sciencedaily.com/releases/2024/11/241118130047.htm
Superheated sediments in a submarine pressure cooker—an unexpected source
of deep-sea hydrogen
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The mid-ocean ridge runs through the oceans like a suture. Where Earth's
plates move apart, new oceanic crust is continuously formed. This is often
accompa...
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