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 ...

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 ...

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 ...

Synthesizing new proteins – the building blocks of biological life – is a scientific field of immense potential, and a newly developed AI model promises to create instructions for new proteins way ...

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) Protein sequence-structure co-design with PocketGen; (b) Dual-layer graph Transformer encoder; (c) Pre-trained protein language model for sequence prediction and efficient fine-tuning. Researchers ...

Artificial intelligence (AI) and "protein language" models can speed the design of monoclonal antibodies that prevent or reduce the severity of potentially life-threatening viral infections, according ...

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 question has been lingering for years in medical science circles. Since 2020, when the artificial intelligence (AI) model AlphaFold made it possible to predict protein structures, would the ...