Proteins are the main targets of most drugs; however, system-wide methods to monitor
protein activity and function are still underused in drug discovery. Novel biochemical …

The investigation of macromolecular biomolecules with ion mobility mass spectrometry (IM-
MS) techniques has provided substantial insights into the field of structural biology over the …

Advances in DNA sequencing and machine learning are providing insights into protein
sequences and structures on an enormous scale. However, the energetics driving folding …

Learning effective protein representations is critical in a variety of tasks in biology such as
predicting protein function or structure. Existing approaches usually pretrain protein …

Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …

Lactylation was initially discovered on human histones. Given its nascence, its occurrence
on nonhistone proteins and downstream functional consequences remain elusive. Here we …

In-cell structural biology aims at extracting structural information about proteins or nucleic
acids in their native, cellular environment. This emerging field holds great promise and is …

Prediction methods inputting embeddings from protein language models have reached or
even surpassed state-of-the-art performance on many protein prediction tasks. In natural …

The rediscovery of Mendel's work showing that the heredity of phenotypes is controlled by
discrete genes was followed by the reconciliation of Mendelian genetics with evolution by …

Covering: up to 2021 Metagenomics has yielded massive amounts of sequencing data
offering a glimpse into the biosynthetic potential of the uncultivated microbial majority. While …