Most proteins in cells are composed of multiple folding units (or domains) to perform
complex functions in a cooperative manner. Relative to the rapid progress in single-domain …

Large AI models, or foundation models, are models recently emerging with massive scales
both parameter-wise and data-wise, the magnitudes of which can reach beyond billions …

ColabFold offers accelerated prediction of protein structures and complexes by combining
the fast homology search of MMseqs2 with AlphaFold2 or RoseTTAFold. ColabFold's 40− 60 …

Proteins are essential to life, and understanding their structure can facilitate a mechanistic
understanding of their function. Through an enormous experimental effort 1, 2, 3, 4, the …

While the vast majority of well-structured single protein chains can now be predicted to high
accuracy due to the recent AlphaFold model, the prediction of multi-chain protein complexes …

The aim of the UniProt Knowledgebase is to provide users with a comprehensive, high-
quality and freely accessible set of protein sequences annotated with functional information …

Identifying and characterizing mobile genetic elements in sequencing data is essential for
understanding their diversity, ecology, biotechnological applications and impact on public …

Computational biology and bioinformatics provide vast data gold-mines from protein
sequences, ideal for Language Models (LMs) taken from Natural Language Processing …

Comprehensive, high-quality reference genomes are required for functional characterization
and taxonomic assignment of the human gut microbiota. We present the Unified Human …

Predicting the structure of interacting protein chains is a fundamental step towards
understanding protein function. Unfortunately, no computational method can produce …