A computational biology company that started in space tech is looking to change how biopharma finds disease targets by modeling how proteins behave.

Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...

Molecular dynamics simulations yield thermodynamic and time-dependent behavior, elucidating the role of intrinsically ...

In a remarkable leap forward for synthetic biology, the AI model ESM3, developed by Evolutionary Scale, has achieved a significant milestone. By simulating half a billion years of evolutionary ...

Proteins, the natural molecules that carry out key cellular functions within the body, are the building blocks of all diseases. Characterizing proteins can reveal the mechanisms of a disease, ...

Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug targets and designing ...

The race to solve every protein structure just welcomed another tech giant: Meta AI. A research offshoot of Meta, known for Facebook and Instagram, the team came onto the protein shape prediction ...

"Protein modeling has advanced in recent years, and we wondered if we could now use large language models to essentially predict better protein sequences," said co-senior author Jonathan S. Gootenberg ...

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 ...