A massive genomics effort has identified thousands of single nucleotide non-coding variants, which alter gene activity, that link to disease and health.

MIT’s AI system boosts precision protein drug production, cutting development costs by learning the “language” of genetic sequences.

For decades, the central dogma of molecular biology—DNA makes RNA, RNA makes protein, protein makes phenotype—was the guiding framework for understanding inheritance and disease. This model explained ...

MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to manufacture protein-based drugs, then rewrites gene sequences to push protein ...

Genetic studies now identify millions of variants across human populations, yet most disease-associated signals fall outside protein-coding regions. This ...

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 ...

Scientists at the Children's Medical Center Research Institute at UT Southwestern (CRI) report that inactivating a certain protein-coding gene promotes liver tissue regeneration in mammals. "This ...