Cancer has been a leading cause of death for decades. This dismal statistic has increased
efforts to prevent the disease or to detect it early, when treatment is less invasive, relatively …

Despite advances in machine learning-based protein structure prediction, we are still far
from fully understanding how proteins fold into their native conformation. The conventional …

Integrating human genomics and proteomics can help elucidate disease mechanisms,
identify clinical biomarkers and discover drug targets,,–. Because previous proteogenomic …

Aging is among the most important risk factors for morbidity and mortality. To contribute
toward a molecular understanding of aging, we analyzed age-resolved transcriptomic data …

Messenger RNA (mRNA) stability and translational efficiency are two crucial aspects of the
post-transcriptional process that profoundly impact protein production in a cell. While it is …

Hybrid potato breeding will transform the crop from a clonally propagated tetraploid to a
seed-reproducing diploid. Historical accumulation of deleterious mutations in potato …

A study of the plant Arabidopsis thaliana detected lower mutation rates in genomic regions
where mutations are more likely to be deleterious, challenging the principle that …

Protein representations from deep language models have yielded state-of-the-art
performance across many tasks in computational protein engineering. In recent years …

Fitness landscape theory predicts that rugged landscapes with multiple peaks impair
Darwinian evolution, but experimental evidence is limited. In this study, we used genome …

Unveiling how genetic variations lead to phenotypic variations is one of the key questions in
evolutionary biology, genetics, and biomedical research. Deep mutational scanning (DMS) …