Within each cell, there is a constant struggle between life-sustaining molecules and molecules that could hasten its demise.
An artificial intelligence model predicts how brain immune cells react to RNA and DNA nanoparticles, helping scientists design safer and more effective nucleic acid therapies faster.
ETH Zurich scientists have created “MetaGraph,” a revolutionary DNA search engine that functions like Google for genetic data. By compressing global genomic datasets by a factor of 300, it allows ...
Leiden researchers, led by Sebastian Pomplun, have developed a new method to screen hundreds of thousands of molecules for ...
Researchers at The Institute of Cancer Research have found a dual genetic test is more accurate than the traditional approach in identifying multiple myeloma patients who may be at an elevated risk of ...
Jonathan Henninger, an assistant professor of biological sciences, is part of a growing movement in the life sciences exploring how ribonucleic acid, known as RNA, can be harnessed to develop ...
Researchers used cryo-EM to study how the HIV enzyme integrase arranges in 3D to slip its DNA into the host genome and pack ...
Frogs have made significant contributions to Fred Hutch science over the years as a model organism that shares much of our ...
The 55th Lewis S. Rosenstiel Award for Distinguished Work in Basic Medical Research has been awarded to professor Steven ...
They observe how the mobile DNA LINE-1 copies its sequence in human cells, revealing the precise mechanism of the ORF2p gene.