A computer algorithm can efficiently find genetic mutations that work together to drive cancer as well as other important genetic clues that researchers might someday use to develop new treatments for ...

Researchers have created an artificial intelligence model that can identify which mutations in human proteins are most likely ...

A team of scientists has developed an algorithm that can accurately pinpoint, in large regions of the human genome, mutations favored by natural selection. The finding provides deeper insight into how ...

In a groundbreaking study published on January 18, 2024, in Cancer Discovery, scientists at University of California San Diego School of Medicine leveraged a machine learning algorithm to tackle one ...

Proteins are like Spider-Man in the multiverse. The underlying story is the same: each building block of a protein is based on a three-letter DNA code. However, change one letter, and the same protein ...

“Viral escape is a big problem,” said Bonnie Berger, PhD, the Simons Professor of Mathematics and head of the Computation and Biology group at the Massachusetts Institute of Technology (MIT) Computer ...

A newly discovered genetic mutation unique to humans may help explain why we are significantly more vulnerable to cancer than our closest evolutionary relatives. Researchers at the University of ...