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Related Concept Videos

Antibody Structure and Classes01:25

Antibody Structure and Classes

805
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.
805
Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

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Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
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Related Experiment Video

Updated: Jun 4, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
08:51

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

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AntiBody Sequence Database.

Simon Malesys1, Rachel Torchet1, Bertrand Saunier2

  • 1Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, 28 rue du Dr Roux, F-75015 Paris, France.

NAR Genomics and Bioinformatics
|December 20, 2024
PubMed
Summary
This summary is machine-generated.

Antibody sequence data is fragmented across databases. The new AntiBody Sequence Database (ABSD) centralizes these records, providing the largest standardized, non-redundant collection for AI model development in immunology and therapeutics.

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Area of Science:

  • Immunology
  • Bioinformatics
  • Computational Biology

Background:

  • Antibodies are critical for humoral immunity against pathogens like viruses.
  • The vast theoretical diversity of human antibodies is not reflected in current sequence databases.
  • Developing AI models for diagnostics and therapies requires comprehensive, standardized antibody sequence datasets.

Purpose of the Study:

  • To address the challenge of fragmented and redundant antibody sequence data.
  • To create a centralized, standardized, and non-redundant repository of public antibody sequences.
  • To facilitate AI-driven research in antibody discovery and therapeutic development.

Main Methods:

  • Aggregated antibody sequence data from major public resources.
  • Developed an automated system for data standardization and deduplication.
  • Created a user-friendly website (ABSD) for data access and retrieval.

Main Results:

  • Established the AntiBody Sequence Database (ABSD), the largest public collection of standardized, non-redundant antibody sequences.
  • ABSD is automatically updated, ensuring data relevance.
  • The platform allows users to filter antibodies by specific criteria and download unique variable region sequence pairs.

Conclusions:

  • ABSD provides an unprecedented resource for researchers working with antibody sequences.
  • The database supports the development of AI models for serodiagnosis and antibody-based therapies.
  • This initiative enhances the accessibility and utility of antibody sequence data for the scientific community.