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

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

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 ...

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 ...