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Multivalent Diffusive Transport.

Antonia KowalewskiNancy R FordeChapin S Korosec
Published in: The journal of physical chemistry. B (2021)
We present here a model for multivalent diffusive transport whereby a central point-like hub is coupled to multiple feet, which bind to complementary sites on a two-dimensional landscape. The available number of binding interactions is dependent on the number of feet (multivalency) and on their allowed distance from the central hub (span). Using Monte Carlo simulations that implement the Gillespie algorithm, we simulate multivalent diffusive transport processes for 100 distinct walker designs. Informed by our simulation results, we derive an analytical expression for the diffusion coefficient of a general multivalent diffusive process as a function of multivalency, span, and dissociation constant Kd. Our findings can be used to guide the experimental design of multivalent transporters, in particular, providing insight into how to overcome trade-offs between diffusivity and processivity.
Keyphrases
  • monte carlo
  • poor prognosis
  • machine learning
  • network analysis
  • binding protein
  • molecular dynamics
  • bioinformatics analysis