A litmus test for classifying recognition mechanisms of transiently binding proteins
pmid: 35778416
pmc: PMC9249894
A litmus test for classifying recognition mechanisms of transiently binding proteins
AbstractPartner recognition in protein binding is critical for all biological functions, and yet, delineating its mechanism is challenging, especially when recognition happens within microseconds. We present a theoretical and experimental framework based on straight-forward nuclear magnetic resonance relaxation dispersion measurements to investigate protein binding mechanisms on sub-millisecond timescales, which are beyond the reach of standard rapid-mixing experiments. This framework predicts that conformational selection prevails on ubiquitin’s paradigmatic interaction with an SH3 (Src-homology 3) domain. By contrast, the SH3 domain recognizes ubiquitin in a two-state binding process. Subsequent molecular dynamics simulations and Markov state modeling reveal that the ubiquitin conformation selected for binding exhibits a characteristically extended C-terminus. Our framework is robust and expandable for implementation in other binding scenarios with the potential to show that conformational selection might be the design principle of the hubs in protein interaction networks.
- Max Planck Society Germany
- Department of Physics, Freie Universität Berlin Germany
- University of Göttingen Germany
- Max Planck Institute of Colloids and Interfaces Germany
- University of Louisville United States
570, Protein Conformation, Ubiquitin, Science, Q, Article, src Homology Domains, Biowissenschaften; Biologie, Computational models, Molecular modelling, Carrier Proteins, Solution-state NMR, Protein Binding
570, Protein Conformation, Ubiquitin, Science, Q, Article, src Homology Domains, Biowissenschaften; Biologie, Computational models, Molecular modelling, Carrier Proteins, Solution-state NMR, Protein Binding
8 Research products, page 1 of 1
- 2007IsRelatedTo
- 2008IsRelatedTo
- 2021IsSupplementTo
- 2021IsRelatedTo
- 1987IsRelatedTo
- 2010IsRelatedTo
- 1994IsRelatedTo
- IsRelatedTo
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).19 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
