The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Bacterial cell division, a process wherein a single cell divides to form two identical daughter cells, represents one of the ...

Accurate prediction of protein secondary structure remains a crucial step in most approaches to the protein-folding problem, yet the prediction of ordered secondary structure, specifically ...

In contrast to AI-driven drug discovery companies like Xaira, Recursion, or DeepMind spinout Isomorphic Labs, which focus on ...

David Baker’s lab has successfully designed binders to disordered proteins, expanding therapeutic access to over 50% of the ...

Deep learning, a powerful methodology for data-driven modelling, has been shown to be useful in tackling several problems in the biomedical domain. However, deep neural architectures lack ...

Subspace Modeling for Classification of Protein Secondary Structure Elements from Cα Trace Abstract: This paper presents a novel subspace segmentation algorithm that models protein Cα traces of ...

Chemical cross-linking is frequently used in structural biology for protein stabilization and probing protein structures, often in combination with mass spectrometry (XL-MS). These applications assume ...

Unlike structure-based models, which are limited to a small set of resolved protein-ligand complexes, ProtoBind-Diff leverages a larger pool of chemical and biological data, which helps the model ...