A new artificial intelligence model can predict how different proteins may bind to DNA. A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how ...
Using termite and cockroach genomes, researchers built phylogenetic trees from transposons, paving a new way to differentiate ...
Evo’s success wasn’t limited to proteins. When they tested a different toxin that had an RNA-based inhibitor, the system ...
Researchers disagree on the number of genes in the human genome, in part because what exactly a gene is can be difficult to determine. At the turn of the century, while awaiting the completion of the ...
Nucleic acid-based therapeutics, including antisense oligonucleotides (ASO), small interfering RNA (siRNA), messenger RNA (mRNA), immunomodulatory DNA/RNA, and gene-editing guide RNA (gRNA), hold ...
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DNA language model performance hinges on pre-training data choices
Researchers at The University of Texas MD Anderson Cancer Center have performed a comprehensive evaluation of five artificial intelligence (AI) models trained on genomic sequences, known as DNA ...
New research published in Nature Communications has linked a normal cellular process to an accumulation of DNA mutations in ...
The non-coding genome, once dismissed as "junk DNA", is now recognized as a fundamental regulator of gene expression and a key player in understanding complex diseases. Following the landmark ...
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