Many proteins are capable of spontaneously rearranging themselves within cells to form molecular condensates—membraneless ...

A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how different proteins may bind to DNA with accuracy across different types of protein ...

A model known as ConPLex can predict whether potential drug molecules will interact with specific protein targets, without having to perform the computationally intensive calculation of the ...

For the first of these tasks Dr Baker and his colleagues use RF diffusion, an AI model they have developed to predict a ...

A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how different proteins may bind to DNA with accuracy across different types of protein ...

The researchers then tested their model by screening a library of about 4,700 candidate drug molecules for their ability to bind to a set of 51 enzymes known as protein kinases.

Symmetry is a fundamental characteristic of most multi-cell animals. However, the cell division of embryonic cells is asymmetric. A team led by Prof. Dr. Esther Zanin at the Department of Biology ...

Researchers develop AI model that predicts the accuracy of protein--DNA binding. ScienceDaily . Retrieved July 12, 2025 from www.sciencedaily.com / releases / 2024 / 08 / 240809135916.htm ...