A research team led by a Duke professor recently developed a novel computational model to predict antibody structures, a significant breakthrough for disease prevention efforts. A study published in ...

Two-Stage Hierarchical Pre-training Framework of S 2 ALM: In Stage I, the model learns foundational sequence–structure relationships from large-scale protein data, using 1D amino acid sequences and 3D ...

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 ...

Scientists at Scripps Research have developed a novel method that uses artificial intelligence (AI) and advanced imaging techniques to more accurately and efficiently identify therapeutic antibodies ...

This study introduces the Multidimensional Antiviral Antibody Database (MAAD), a comprehensive and standardized platform integrating sequence ...

In April, the FDA announced an ambitious plan to phase out animal testing requirements for monoclonal antibodies and other therapies in an effort to improve drug safety and reduce R&D costs. The goal ...

Researchers have analyzed the antibody Immunoglobulin M in rainbow trout to shed some light on why these proteins may have evolved over time. Antibodies -- proteins that are produced by our immune ...

Antibodies—proteins that are produced by our immune system to protect us—are crucial for recognizing and getting rid of unwanted substances, or antigens, in our body. Although their role is universal, ...