A study from Cornell researchers could enable a quantum leap forward in identifying and deciphering cancer-driving genetic mutations, the first step in developing effective therapeutics. Cells become ...

Scientists have designed a publicly-available software and web database to break down barriers to identifying key protein-protein interactions to treat with medication. The computational tool is ...

Researchers have developed a new artificial intelligence (AI) model that can more accurately predict how proteins interact with one another—an advancement that could accelerate drug discovery and ...

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

Scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like hormones or drugs, opening up a world of possibilities in the computational design ...

Researchers capture first-of-its-kind video of dynein–Lis1 protein interaction, supporting future drug development for neurological disorders. Our cells rely on microscopic highways and specialized ...

In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...

Researchers say they have used a high-sensitivity mass spectrometry technique to improve the accuracy of sandwich ELISA. The team, from biopharmaceutical company Regeneron, hopes their work will help ...

Scientists from Cleveland Clinic and Cornell University have designed a publicly-available software and web database to break down barriers to identifying key protein-protein interactions to treat ...