Over 95% of the U.S. general population has quantifiable serum levels of PFAS, with a mean of 2 to 5 parts per billion (ppb) for perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA), ...

Machine learning and supercomputer simulations help researchers to predict interactions between gold nanoparticles and blood proteins Date: November 19, 2024 Source: University of Jyväskylä ...

The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations.

Mar 05, 2024 Laser-made nanoparticles remove harmful forever chemicals from water (Nanowerk News) Scientists from the University of Rochester have developed new electrochemical approaches to clean up ...

While there are over 9,000 different PFAS molecules, which vary in size and threat, leading experts think they should all be managed uniformly as a class that includes both long- and short-chained ...

Nanoparticles (NPs) are materials whose dimensions range from 1 to 1,000 nanometers (nm). Due to their nano-scale dimensions and tunable material properties, NPs have gained interest in the global ...

Nov 18, 2024 AI and supercomputer simulations predict gold nanoparticle and blood protein interactions (Nanowerk News) Hybrid nanostructures between biomolecules and inorganic nanomaterials constitute ...

The result is representations of proteins and nanoparticles that look a bit like collections of interconnected beads, providing more flexibility in exploring small scale interactions.

Deep interrogation of plasma proteins on a large scale is a challenge due to the number and concentration of proteins, which span a dynamic range of over 10 orders of magnitude. Current plasma ...

A new machine learning model, NeCLAS, can determine whether and how a protein and nanoparticle will bind, which could revolutionize drug discovery and design processes. Researchers at the University ...