Scientists used IBM's R2 Heron quantum processor to predict the secondary protein structure of a 60-nucleotide-long mRNA ...

Evolution of protein structure prediction methods: from traditional template-based modeling and template-free modeling approaches to the application of modern deep learning models such as ...

In a recent study by the team, they discovered the 3D structure of a protein called TnpB, a probable precursor to the CRISPR-Cas12 enzyme. Their findings appeared in the journal Nature.

‘AI-based protein design effectively enabled us to dream small proteins into existence that would bind ChuA,’ says Grinter.

In a recent study by the team, they discovered the 3D structure of a protein called TnpB, a probable precursor to the CRISPR-Cas12 enzyme. Their findings appeared in the journal Nature.

Scientists have now revealed the three-dimensional structure of viral protein complex called the LCMV glycoprotein trimer, and showed how it could be vulnerable. The researchers also determined that ...

Once it was fully trained, ESM-2 was able to ingest a raw string of amino acids and output a 3D protein structure, along with a score that represents its confidence in the accuracy of that structure.

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction.

It enhances prediction accuracy by extensively sampling inverse folding models—AI models that generate compatible amino acid sequences based on protein 3D structures—while incorporating ...

Deciphering proteins in Alzheimer’s disease: A new Mendelian randomization method integrated with AlphaFold3 for 3D structure prediction. Cell Genomics, 2024; 100700 DOI: 10.1016/j.xgen.2024.100700 ...