CAMBRIDGE, MA -- 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 ...

By utilizing these models, Ainnocence can sample billions of protein sequences in a matter of hours, something that would be computationally impossible with traditional 3D-based methods. Protein ...

The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...

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 ...

A supercomputer has helped to create an artificial intelligence model that deciphers the “language of proteins.” Scientists at the University of Glasgow used the Tursa supercomputer at the UK’s DiRAC ...

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 ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

These models are analogous to natural language processing models but applied to protein sequences instead of words. They leverage vast datasets of protein sequences to learn the underlying ...