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From sequence to structure: A fast track for RNA modelingSCOPER has simplified it significantly. Say you want to study a new RNA: First, put the nucleotide sequence into one of the open-source, AI-based structure prediction tools available today.
No large RNA structure database exists that correlates sequence with 3D topology. Successful protein-centric methods like ...
Medical researchers have now, for the first time, determined the sequence and structure of a glycosaminoglycan, or GAG, proteoglycan. Skip to main content. Your source for the latest research news.
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 Transform model and achieves accuracy comparable ...
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.
While recent breakthroughs such as AlphaFold3 have revolutionized protein and RNA structure prediction, they currently fail to reliably generate correct G-quadruplex structures from sequence alone.
To disarm toxic substances, many organisms - including humans - possess enzymes called flavin-containing monooxygenases (FMOs). Despite their importance, the structure of the enzymes has not been ...
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. Some RNA ...
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