Recent breakthroughs in AI coupled with the rapid accumulation of protein sequence and
structure data have radically transformed computational protein design. New methods …

SARS-CoV-2 variants acquire mutations in the spike protein that promote immune evasion
and affect other properties that contribute to viral fitness, such as ACE2 receptor binding and …

Virology has made enormous advances in the last 50 years but has never faced such
scrutiny as it does today. Herein, we outline some of the major advances made in virology …

Protein design holds immense potential for optimizing naturally occurring proteins, with
broad applications in drug discovery, material design, and sustainability. However …

Deep learning has made rapid advances in modelling molecular sequencing data. Despite
achieving high performance on benchmarks, it remains unclear to what extent deep learning …

This is the interim publication of the first International Scientific Report on the Safety of
Advanced AI. The report synthesises the scientific understanding of general-purpose AI--AI …

SARS-CoV-2 variants acquire mutations in spike that promote immune evasion and impact
other properties that contribute to viral fitness such as ACE2 receptor binding and cell entry …

Artificial intelligence has brought crucial changes to the whole field of natural sciences.
Myriads of machine learning algorithms have been developed to facilitate the work of …

The increasing frequency of emerging viral infections necessitates a rapid human response,
highlighting the cost-effectiveness of computational methods. However, existing …

Antibody escape mutations pose a significant challenge to the effectiveness of vaccines and
antibody-based therapies. The ability to predict these escape mutations with computer …