A team at Rice University has built a lab platform that can map the activity of more than 10 million protein variants in a single experiment, then feed that data into AI models that learn to predict ...

A new technology allows scientists to map, in single cells, the DNA binding sites of transcription factors and other ...

A new technology allows scientists to map, in single cells, the DNA binding sites of transcription factors and other regulatory proteins that control gene activity, according to a study led by ...

D&D‑seq uses base editing to record DNA–protein interactions in single cells, enabling multiomics mapping of transcription ...

Many diseases are driven by proteins interacting with each other inside cells. But blocking these interactions with drugs is ...

Northwestern Medicine scientists have developed a new experimental method to analyze conformational fluctuations in protein ...

Proteins play a key role in the life sciences - from basic research and biotechnological applications to the development and manufacturing of pharmaceuticals. Scientists at the Technical University of ...

Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...

An innovative machine learning approach has been shown to rapidly predict multiple protein configurations. A new paper presents the method that predicts the relative populations of protein ...

UT researchers have developed the first viable alternative to a 75-year-old method for sequencing proteins. Image of amino acids, the building blocks of proteins. Scientists at The University of Texas ...