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QSAR of multiple mutated antibodies

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

The aim of this study was to develop predictive quantitative structure-activity relationship (QSAR) modeling for antibody-peptide interactions. A small single chain antibody library was designed and manufactured around the murine anti-p24 (HIV-1) monoclonal antibody CB4-1 by use of statistical molecular design (SMD) principles and site directed mutagenesis, and its affinity for a p24 derived antigen was determined by fluorescence polarization. A satisfactory QSAR model (Q2 = 0.74, R2 = 0.88) was derived by correlating the affinity data to physicochemical property scales of the amino acids varied in the library. The model explains most of the antibody-antigen interactions of the studied set, and provides insights into the molecular mechanism involved in antigen binding.

Original languageEnglish
Pages (from-to)97-102
Number of pages6
JournalJournal of Molecular Recognition
Volume20
Issue number2
DOIs
Publication statusPublished - Mar 2007
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Amino acid physicochemical properties
  • Antibody library
  • Interaction site mapping
  • Peptide epitope
  • QSAR
  • Single chain antibody
  • Site directed mutagenesis
  • Statistical molecular design

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