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Related Concept Videos

Nucleic Acids02:43

Nucleic Acids

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Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and carry instructions for its functioning.
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The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). DNA is the genetic material in all living organisms, ranging from single-celled bacteria to multicellular mammals. It is in the nucleus of eukaryotes and in the organelles, chloroplasts, and mitochondria. In prokaryotes,...
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Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and carry instructions for its functioning.
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Nucleic Acid Structure01:25

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The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
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Nucleic Acids and Nucleotides01:20

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Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and have instructions for its functioning. The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA).
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Nucleic acid biosynthesis is a fundamental biochemical process that produces the purine and pyrimidine nucleotides essential for DNA and RNA synthesis. This pathway maintains a balanced nucleotide pool, preventing imbalances that could jeopardize genetic integrity and cellular function. Given the crucial role of nucleotides, their synthesis is tightly regulated to ensure proper cellular homeostasis.Purine BiosynthesisThe biosynthesis of purine nucleotides begins with ribose-5-phosphate, a...
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Updated: Feb 4, 2026

In Vitro Biochemical Assays using Biotin Labels to Study Protein-Nucleic Acid Interactions
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In Vitro Biochemical Assays using Biotin Labels to Study Protein-Nucleic Acid Interactions

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Large-scale multi-omic biosequence transformers for modeling protein-nucleic acid interactions.

Sully F Chen1, Robert J Steele2, Glen M Hocky3

  • 1Duke University School of Medicine, Department of Neurosurgery, Durham, North Carolina, United States of America.

Plos One
|February 2, 2026
PubMed
Summary

OmniBioTE, a novel multi-omic model, integrates protein and nucleic acid data for enhanced biological sequence understanding. This approach achieves state-of-the-art predictions for biomolecular interactions and reveals emergent structural insights.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Biology

Background:

  • Transformer models have advanced bioinformatics, excelling in single-omic tasks like protein structure prediction.
  • Current models trained on single data types (proteins or nucleic acids) struggle to capture cross-modal biological interactions.

Purpose of the Study:

  • Introduce OmniBioTE, the largest open-source multi-omic foundation model for biological sequences.
  • To demonstrate the capability of multi-omic training for capturing gene-protein relationships and interaction properties.

Main Methods:

  • Trained OmniBioTE on over 250 billion tokens of mixed protein and nucleic acid sequence data.
  • Evaluated OmniBioTE's performance on predicting binding free energy and identifying protein residues involved in interactions.

Main Results:

  • OmniBioTE learns joint representations mapping genes to protein sequences from unlabeled data.
  • Achieved state-of-the-art results in predicting binding free energy for protein-nucleic acid interactions.
  • Demonstrated emergent learning of structural information and superior performance-per-FLOP compared to single-omic models.

Conclusions:

  • Multi-omic transformer models offer a unified approach for biological sequence analysis.
  • OmniBioTE serves as a powerful foundation model for advancing multi-omic biological discovery and understanding.