Mechanisms of noncanonical binding dynamics in multivalent protein-protein interactions.


Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
17 12 2019
Historique:
pubmed: 30 11 2019
medline: 14 4 2020
entrez: 29 11 2019
Statut: ppublish

Résumé

Protein multivalency can provide increased affinity and specificity relative to monovalent counterparts, but these emergent biochemical properties and their mechanistic underpinnings are difficult to predict as a function of the biophysical properties of the multivalent binding partners. Here, we present a mathematical model that accurately simulates binding kinetics and equilibria of multivalent protein-protein interactions as a function of the kinetics of monomer-monomer binding, the structure and topology of the multidomain interacting partners, and the valency of each partner. These properties are all experimentally or computationally estimated a priori, including approximating topology with a worm-like chain model applicable to a variety of structurally disparate systems, thus making the model predictive without parameter fitting. We conceptualize multivalent binding as a protein-protein interaction network: ligand and receptor valencies determine the number of interacting species in the network, with monomer kinetics and structural properties dictating the dynamics of each species. As predicted by the model and validated by surface plasmon resonance experiments, multivalent interactions can generate several noncanonical macroscopic binding dynamics, including a transient burst of high-energy configurations during association, biphasic equilibria resulting from interligand competition at high concentrations, and multiexponential dissociation arising from differential lifetimes of distinct network species. The transient burst was only uncovered when extending our analysis to trivalent interactions due to the significantly larger network, and we were able to predictably tune burst magnitude by altering linker rigidity. This study elucidates mechanisms of multivalent binding and establishes a framework for model-guided analysis and engineering of such interactions.

Identifiants

pubmed: 31776263
pii: 1902909116
doi: 10.1073/pnas.1902909116
pmc: PMC6926015
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

25659-25667

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM113985
Pays : United States
Organisme : NIBIB NIH HHS
ID : R21 EB022258
Pays : United States
Organisme : NIH HHS
ID : S10 OD021539
Pays : United States

Déclaration de conflit d'intérêts

The authors declare no competing interest.

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Auteurs

Wesley J Errington (WJ)

Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455-0215.

Bence Bruncsics (B)

Department of Measurement and Information Systems, Budapest University of Technology and Economics, H-1111 Budapest, Hungary.

Casim A Sarkar (CA)

Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455-0215; csarkar@umn.edu.

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Classifications MeSH