How the proteins in our bodies bind together to form protein complexes plays a critical role in numerous cell ...

Protein language models (pLMs) can offer deep insights into evolutionary and structural properties of proteins. While larger models, such as the 15 billion parameter model ESM-2, promise to capture ...

The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and ...

To handle increasingly large protein databases, a new ultrafast, highly sensitive method — Dense Homolog Retriever (DHR) — detects remote homologs using dense retrieval and protein language models.

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 ...

For large language models (LLMs) like ChatGPT, accuracy often means complexity. To be able to make good predictions, ChatGPT must deeply understand the concepts and features that are associated with ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

Professor Jonathan Wittenberg used this model of sperm whale myoglobin structure as a teaching tool at the Albert Einstein College of Medicine at Yeshiva University in the Bronx. It was used beginning ...

Former Meta $META scientists have unveiled a model that can generate proteins the way chatbots can generate words. EvolutionaryScale, founded by a team of ex-Meta ...

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 ...