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Related Concept Videos

Nucleic Acid Structure01:25

Nucleic Acid Structure

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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.
DNA Structure
DNA...
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RNA Structure01:19

RNA Structure

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The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
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RNA Structure01:23

RNA Structure

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Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
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Protein and Protein Structure02:15

Protein and Protein Structure

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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
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Conserved Binding Sites01:49

Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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From DNA to Protein03:06

From DNA to Protein

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The flow of genetic information in cells from DNA to mRNA to protein is described by the central dogma, which states that genes specify the sequence of mRNAs, which in turn specify the sequence of amino acids making up all proteins. The decoding of one molecule to another is performed by specific proteins and RNAs. Because the information stored in DNA is so central to cellular function, it makes intuitive sense that the cell would make mRNA copies of this information for protein synthesis...
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Analyzing and Building Nucleic Acid Structures with 3DNA
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Navigating protein-nucleic acid sequence-structure landscapes with deep learning.

Elodie Laine1, Sergei Grudinin2, Roman Klypa2

  • 1Department of Computational, Quantitative, and Synthetic Biology (CQSB), UMR 7238, IBPS, Sorbonne Université, CNRS, Paris, 75005, France; Institut Universitaire de France (IUF), France.

Current Opinion in Structural Biology
|September 23, 2025
PubMed
Summary
This summary is machine-generated.

Predicting protein-nucleic acid interactions is a key challenge in structural biology. Recent advances focus on new methods and data integration to overcome limitations in predicting these complexes.

Keywords:
Deep learningGenerative modelingProtein-NA complexRNA design

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Area of Science:

  • Structural Biology
  • Computational Biology
  • Biophysics

Background:

  • AlphaFold advanced protein structure prediction, highlighting remaining challenges.
  • Predicting protein-nucleic acid interactions is a significant unresolved problem.
  • Limited and diverse experimental data, plus nucleic acid complexity, hinder progress.

Purpose of the Study:

  • To review recent advances in predicting protein-nucleic acid complex structures.
  • To explore methods for designing nucleic acids that bind specific protein conformations.
  • To discuss future directions for the field.

Main Methods:

  • Review of innovative ideas and methodological developments.
  • Integration of high-throughput profiling data.
  • Development of rigorous evaluation benchmarks.
  • Application of self-supervised learning for signal discovery.

Main Results:

  • Emergence of promising methods for predicting protein-nucleic acid complexes.
  • Development of strategies for designing nucleic acid binders.
  • Identification of potential for self-supervised learning in this domain.

Conclusions:

  • Predicting protein-nucleic acid interactions remains a frontier in structural biology.
  • Integrating diverse data and advanced computational methods is crucial.
  • Future research directions include improved benchmarks and machine learning approaches.