AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology by treating complex biological data like a language. Language models are ...

After computational design, the team tested the designed proteins in the laboratory and identified binders to particular ligands, following computational design and using machine learning methods to ...

Protein design aims to create customized antibodies for therapies, biosensors for diagnostics, or enzymes for chemical reactions. An international research team has now developed a method for ...

Protein-ligand binding affinity prediction is a key element of computer-aided drug discovery. Most of the existing deep learning methods for protein-ligand binding affinity prediction utilize single ...

Tick-borne infections are the most common vector-borne diseases in the USA. Ticks harbor and transmit several infections with Lyme disease being the most common tickborne infection in the US and ...

Each protein is identified as a point in this scatter plot of data embedded in the language model’s latent space. The red, green and yellow points indicate various subtypes of proteins found in nature ...

Researchers have developed a new method for designing de novo proteins with tailored properties. Their approach leverages the structure prediction capabilities of AlphaFold2, combining them with an ...