dc.contributor.author
Chakrabarti, Kalyan S.
dc.contributor.author
Olsson, Simon
dc.contributor.author
Pratihar, Supriya
dc.contributor.author
Giller, Karin
dc.contributor.author
Overkamp, Kerstin
dc.contributor.author
Lee, Ko On
dc.contributor.author
Gapsys, Vytautas
dc.contributor.author
Ryu, Kyoung-Seok
dc.contributor.author
Groot, Bert L. de
dc.contributor.author
Noé, Frank
dc.date.accessioned
2022-09-05T08:26:50Z
dc.date.available
2022-09-05T08:26:50Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/36155
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-35871
dc.description.abstract
Partner 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.
en
dc.format.extent
11 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Computational models
en
dc.subject
Molecular modelling
en
dc.subject
Solution-state NMR
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
A litmus test for classifying recognition mechanisms of transiently binding proteins
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
3792
dcterms.bibliographicCitation.doi
10.1038/s41467-022-31374-5
dcterms.bibliographicCitation.journaltitle
Nature Communications
dcterms.bibliographicCitation.number
1
dcterms.bibliographicCitation.volume
13
dcterms.bibliographicCitation.url
https://doi.org/10.1038/s41467-022-31374-5
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Mathematik

refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2041-1723
refubium.resourceType.provider
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