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Related Concept Videos

Antibody Structure01:10

Antibody Structure

Overview
Antibodies, also known as immunoglobulins (Ig), are essential players of the adaptive immune system. These antigen-binding proteins are produced by B cells and make up 20 percent of the total blood plasma by weight. In mammals, antibodies fall into five different classes, which each elicits a different biological response upon antigen binding.
The Y-Shaped Structure of Antibodies Consists of Four Polypeptide Chains
Antibodies consist of four polypeptide chains: two identical heavy...
Antibody Structure01:10

Antibody Structure

Overview
Antibodies, also known as immunoglobulins (Ig), are essential players of the adaptive immune system. These antigen-binding proteins are produced by B cells and make up 20 percent of the total blood plasma by weight. In mammals, antibodies fall into five different classes, which each elicits a different biological response upon antigen binding.
The Y-Shaped Structure of Antibodies Consists of Four Polypeptide Chains
Antibodies consist of four polypeptide chains: two identical heavy...
Antibody Structure and Classes01:25

Antibody Structure and Classes

Antibodies, also known as immunoglobulins, are produced by B cells in response to foreign substances, such as bacteria and viruses. These proteins are critical for recognizing and neutralizing these substances, protecting the body from potential harm.
The basic structure of an antibody consists of four protein chains: two identical heavy chains and two identical light chains. These chains are held together by disulfide bonds and other non-covalent interactions, forming a Y-shaped structure.

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Related Experiment Video

Updated: Jun 18, 2026

Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood
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ABlooper: fast accurate antibody CDR loop structure prediction with accuracy estimation.

Brennan Abanades1, Guy Georges2, Alexander Bujotzek2

  • 1Department of Statistics, University of Oxford, Oxford, UK.

Bioinformatics (Oxford, England)
|January 31, 2022
PubMed
Summary
This summary is machine-generated.

ABlooper accurately predicts antibody CDR-H3 loop structures using deep learning. This tool offers high-precision protein structure modeling for improved biotherapeutic development.

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Area of Science:

  • Structural biology
  • Immunology
  • Computational biology

Background:

  • Antibodies are crucial immune system components and biotherapeutics.
  • Understanding antibody structure, particularly the complementarity determining regions (CDRs), is vital for antigen-binding function.
  • The CDR-H3 loop is the most variable and critical for antibody binding, posing modeling challenges.

Purpose of the Study:

  • To develop an accurate and efficient tool for predicting CDR loop structures.
  • To leverage deep learning for improved antibody structure modeling.

Main Methods:

  • An end-to-end equivariant deep learning model named ABlooper was developed.
  • The tool predicts CDR loop structures and provides confidence estimates.

Main Results:

  • ABlooper achieved an average CDR-H3 RMSD of 2.49 Å on the Rosetta Antibody Benchmark.
  • The accuracy improved to 2.05 Å for the top 75% most confident predictions.

Conclusions:

  • ABlooper demonstrates high accuracy and speed in predicting CDR loop structures.
  • The tool offers a valuable resource for antibody modeling and biotherapeutic design.