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Enhancing recombinant antibody performance by optimally engineering its format.

Caroline Murphy1, Edwina Stack1, Svetlana Krivelo1

  • 1School of Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland.

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|October 16, 2018
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Summary
This summary is machine-generated.

This study identifies key amino acids in antibody fragments responsible for binding small molecules like toxins. Computational analysis and in vitro mutations pinpointed specific residues essential for effective antibody-small molecule interactions.

Keywords:
Antibody enhancementAntibody-binding siteComputer-aided molecular designMicrocystin-LRRecombinant antibodySmall-molecule

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Area of Science:

  • Biochemistry and Molecular Biology
  • Immunotechnology
  • Computational Biology

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  • Antibody-based sensors are crucial in diagnostics, therapeutics, and environmental monitoring.
  • Recombinant antibodies, particularly single-chain variable fragments (scFv), offer high affinity, engineerability, and optimized production for sensor applications.
  • Understanding analyte binding to antibodies is vital for designing effective biosensors.

Purpose of the Study:

  • To model the identification of critical analyte binding residues within antibody sub-structures.
  • To elucidate the docking characteristics of small molecules with an scFv antibody.
  • To investigate the binding of microcystin-leucine-arginine (MC-LR), a cyanobacterial toxin, to an anti-MC-LR scFv.

Main Methods:

  • Computational analysis using freely available web servers to investigate antibody sub-structure and binding interactions.
  • Site-directed mutagenesis of identified key amino acid residues within the scFv.
  • In vitro examination of sensitivity and binding profiles of mutated antibody fragments.
  • Introduction of an auxiliary antibody domain to assess its influence on scFv stability and binding.

Main Results:

  • Computational analysis identified key residues in complementarity determining region light chain region 3 (CDRL3) and framework region 3 (FR3) of the heavy chain.
  • Mutagenesis confirmed the involvement of phenylalanine (F91) and aspartate (D92) in the light chain, and arginine (R66) in the heavy chain's FR3 in MC-LR binding.
  • The study provided deeper insights into scFv sub-structure and identified essential regions and amino acids for antibody-small molecule binding.

Conclusions:

  • Specific amino acid residues within CDRL3 and FR3 are critical for the binding of small molecules like MC-LR to scFv antibodies.
  • Computational tools can effectively guide experimental investigations into antibody-analyte interactions.
  • This research enhances the understanding of antibody engineering for targeted molecular recognition in sensor development.