Scientists at Mount Sinai have created an artificial intelligence system that can predict how likely rare genetic mutations are to actually cause disease. By combining machine learning with millions ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

It's been five years since COVID-19 was declared a global pandemic. As SARS-CoV-2 shifts to endemic status, questions about its future evolution remain. New variants of the virus will likely emerge, ...

Researchers working on an incurable blood cancer can now use a new lab model that could make testing potential new treatments and diagnostics easier and quicker, new research has found. Working with ...

In a recent study published in Nature Genetics, a group of researchers advanced variant effect prediction across the human proteome by integrating deep evolutionary signals with human population ...

Between any two people, there are likely to be at least 10 million differences in the genetic sequence that makes up their DNA. Most of these differences don't alter the way cells behave or cause ...

A phylogenetic tree of SARS-CoV-2 sequences, built with Nextstrain, displays sequences colored by their clade and organized by collection date. Over time, sequences mutate and diverge, forming new ...