Researchers from Zhejiang University and HKUST (Guangzhou) have developed a cutting-edge AI model, ProtET, that leverages ...

This is a public repository for our paper Decoupled Sequence and Structure Generation for Realistic Antibody Design.

Ainnocence has achieved significant milestones in applying artificial intelligence to accelerate antibody discovery for ...

These regions display remarkable sequence variability, making it challenging to model them using conventional methods. Traditional approaches for antibody design, such as immunization and phage ...

In this interview, Technology Networks spoke with Dr. Sophie Mayle, Dr. Paul Royle and Dr. John Cardone from Bio-Rad's ...

Generate Bio uses a combination of sequence and structure-based approach towards de novo design of a variety of proteins, including antibodies with desired properties. In addition to its ...

This survey systematically categorizes pLMs into sequence-based, structure- and function-enhanced, and multimodal models, exploring their applications in protein structure prediction, function ...

It has been estimated that the human immune system can produce up to 1 quintillion different antibodies by changing the sequence of these amino acids, helping to ensure that the body can respond ...

Peptide mapping experiments are a powerful method for determining the fine sequence of linear antibody epitopes, but these experiments can be relatively expensive and the time between experimental ...

Antibodies with similar amino acid sequences, especially across their complementary-determining regions, often share properties. Finding that an antibody of interest has a similar sequence to ...