Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

Large Language Models (LLMs) have emerged as a transformative power in enhancing
natural language comprehension, representing a significant stride toward artificial general …

There has been considerable recent progress in designing new proteins using deep-
learning methods,,,,,,,–. Despite this progress, a general deep-learning framework for protein …

The use of NLP in the realm of financial technology is broad and complex, with applications
ranging from sentiment analysis and named entity recognition to question answering. Large …

As structure prediction methods are generating millions of publicly available protein
structures, searching these databases is becoming a bottleneck. Foldseek aligns the …

Information overload is a major obstacle to scientific progress. The explosive growth in
scientific literature and data has made it ever harder to discover useful insights in a large …

Genomic (DNA) sequences encode an enormous amount of information for gene regulation
and protein synthesis. Similar to natural language models, researchers have proposed …

AlphaFold2 revolutionized structural biology with the ability to predict protein structures with
exceptionally high accuracy. Its implementation, however, lacks the code and data required …

Interpreting electron cryo-microscopy (cryo-EM) maps with atomic models requires high
levels of expertise and labour-intensive manual intervention in three-dimensional computer …

Highly accurate structure prediction methods are generating an avalanche of publicly
available protein structures. Searching through these structures is becoming the main …