In Biology 101, we learn that RNA is a single, ribbon-like strand of base pairs that is copied from our DNA and then read like a recipe to build a protein. But there's more to the story.

Here, we introduce some basic concepts that are important to function prediction and provide a guide to methods that are commonly used for sequence-based function prediction and structure-based ...

Meta AI Research recently announced ESMFold, an AI model for predicting protein structure from a sequence of genes. ESMFold is built on a 15B parameter Transformer model and achieves accuracy ...

Medical researchers have now, for the first time, determined the sequence and structure of a glycosaminoglycan, or GAG, proteoglycan. If genes provide the blueprint for life and proteins are the ...

No large RNA structure database exists that correlates sequence with 3D topology. Successful protein-centric methods like ...

New deep-learning approach predicts protein structure from amino acid sequence. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2019 / 04 / 190417111432.htm ...

they currently fail to reliably generate correct G-quadruplex structures from sequence alone. These AI models are largely trained on protein-centric datasets and lack sufficient architectural ...

Members of the research community can come to Berkeley Lab's Advanced Light Source (ALS) user facility knowing nothing more than the molecule's nucleotide sequence and get a structure, or they can ...