Diffusion of a disordered protein on its folded ligand

Felix Wiggers, Samuel Wohl, Artem Dubovetskyi, Gabriel Rosenblum, Wenwei Zheng, Hagen Hofmann*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

Intrinsically disordered proteins often form dynamic complexes with their ligands. Yet, the speed and amplitude of these motions are hidden in classical binding kinetics. Here, we directly measure the dynamics in an exceptionally mobile, high-affinity complex. We show that the disordered tail of the cell adhesion protein E-cadherin dynamically samples a large surface area of the protooncogene β-catenin. Single-molecule experiments and molecular simulations resolve these motions with high resolution in space and time. Contacts break and form within hundreds of microseconds without a dissociation of the complex. The energy landscape of this complex is rugged with many small barriers (3 to 4 kBT) and reconciles specificity, high affinity, and extreme disorder. A few persistent contacts provide specificity, whereas unspecific interactions boost affinity.
Original languageEnglish
Article numbere2106690118
JournalProceedings of the National Academy of Sciences
Volume118
Issue number37
DOIs
Publication statusPublished - 14 Sept 2021

Funding

We thank William I. Weis for providing the E-cad plasmid and for his helpful comments on the manuscript. We are also grateful to Dirk Görlich for the plasmid containing the SUMO protease. Our thanks also go to Nir London and Christian Dubiella for their help with mass spectrometry. In addition, we enjoyed critical discussions with Gilad Haran, Amnon Horovitz, Koby Levy, Benjamin Schuler, Robert Best, and Philipp Selenko. This work was supported by the Israel Science Foundation (Grant No. 1549/15), the Benoziyo Fund for the Advancement of Science, the Carolito Foundation, the Leir Charitable Foundation, and the Koshland family. W.Z. acknowledges the support from the NSF (Grant MCB-2015030) and the research computing at Arizona State University for providing high performance computing. Publisher Copyright: © 2021 National Academy of Sciences. All rights reserved.

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