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A Y-Shaped Three-Arm Structure for Probing Bivalent Interactions between Protein Receptor-Ligand Using AFM and SPR.

Subhadip SenapatiSudipta BiswasSaikat MannaRobert RosStuart LindsayPeiming Zhang
Published in: Langmuir : the ACS journal of surfaces and colloids (2018)
The goal of this research was to develop linkage chemistry for the study of bivalent interactions between a receptor and its ligand using atomic force microscopy (AFM) and surface plasmon resonance (SPR). We conceived a three-arm structure composed of flexible chains connected to a large rigid core with orthogonal functional groups at their ends for formation and attachment (or immobilization) of bivalent ligands. To demonstrate the principle, we chose the well-known biotin-streptavidin interaction as a model system. On the basis of a crystal structure of the biotin-streptavidin complex, we designed and synthesized a bisbiotin ligand to have a Y shape with two biotin motifs on its arms for binding and a functional group on its stem for immobilization or attachment, referred to as y-bisbiotin. First, we found that the y-bisbiotin ligand stabilized the streptavidin more than its monobiotin counterpart did in solution, which indicates that the bivalent interaction was synergistic. The y-bisbiotin was attached to AFM tips through a click reaction for the force measurement experiments, which showed that unbinding the bisbiotin from streptavidin needed twice the force of unbinding a monobiotin. For the SPR study, we added a ω-thiolated alkyl chain to y-bisbiotin for its incorporation into a monolayer. The SPR data indicated that the streptavidin dissociated from a mixed monolayer bearing y-bisbiotin much slower than from the one bearing monobiotin. This work demonstrates unique chemistry for the study of bivalent interactions using AFM and SPR.
Keyphrases
  • atomic force microscopy
  • high speed
  • single molecule
  • binding protein
  • transcription factor
  • machine learning
  • human immunodeficiency virus
  • drug discovery
  • molecular dynamics simulations
  • protein protein