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Novel Sequence Discovery by Subtractive Genomics
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Antibody sequences assembly method based on weighted de Bruijn graph.

Yi Lu1, Cheng Ge2, Biao Cai1

  • 1Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China.

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|May 10, 2023
PubMed
Summary
This summary is machine-generated.

A new de novo sequencing method, DBAS, effectively assembles mixed light and heavy antibody chains. This protein sequencing algorithm improves accuracy and coverage for complex antibody sequences.

Keywords:
de Bruijn graphde novo sequencingmonoclonal antibodysequence alignmentsequence assembly

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Computational Biology

Background:

  • Next-generation protein sequencing necessitates advanced algorithms for de novo sequencing.
  • Current methods struggle with assembling complex molecules like monoclonal antibodies, which possess both light and heavy chains.

Purpose of the Study:

  • To develop a novel computational method for assembling de novo sequenced antibody proteins, specifically addressing the challenge of mixed light and heavy chains.
  • To improve the accuracy and efficiency of antibody sequence assembly.

Main Methods:

  • Proposed DBAS (De Bruijn Antibody Sequencer) method integrates quality and alignment scores from sequencing peptides.
  • Utilizes a weighted de Bruijn graph for assembling final protein sequences.
  • Employs BLAST for sequence alignment to differentiate between light and heavy antibody chains.

Main Results:

  • DBAS successfully assembled long antibody sequences from datasets containing mixed light and heavy chains.
  • The method demonstrated proficiency in assembling both mixed and single antibody chain sequences.
  • BLAST alignment enabled DBAS to accurately distinguish between light and heavy chains.

Conclusions:

  • DBAS offers a robust solution for the de novo assembly of antibody protein sequences, including complex mixed-chain antibodies.
  • The algorithm exhibits high performance in terms of target sequence coverage and contig assembly accuracy.
  • This advancement in protein sequencing assembly is crucial for antibody characterization and discovery.