Abstract
Peptides or proteins containing small biomolecular aggregates, such as micelles, bicelles, droplets and nanodiscs, are pivotal in many fields ranging from structural biology to pharmaceutics. Monitoring dynamics of such systems has been limited by the lack of experimental methods that could directly detect their fast (picosecond to nanosecond) timescale dynamics. Spin relaxation times from NMR experiments are sensitive to such motions, but their interpretation for biomolecular aggregates is not straightforward. Here we show that the dynamic landscape of peptide-containing molecular assemblies can be determined by a synergistic combination of solution state NMR experiments and molecular dynamics (MD) simulations. Solution state NMR experiments are straightforward to implement without an excessive amount of sample, while direct combination of spin relaxation data to MD simulations enables interpretation of dynamic landscapes of peptides and other aggregated molecules. To demonstrate this, we interpret NMR data from transmembrane, peripheral, and tail anchored peptides embedded in micelles. Our results indicate that peptides and detergent molecules do not rotate together as a rigid body, but peptides rotate in a viscous medium composed of detergent micelle. Spin relaxation times also provide indirect information on peptide conformational ensembles. This work gives new perspectives on peptide dynamics in complex biomolecular assemblies.
Original language | English |
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Article number | 28 |
Journal | Communications Chemistry |
Volume | 7 |
Issue number | 1 |
DOIs | |
Publication status | Published - 13 Feb 2024 |
MoE publication type | A1 Journal article-refereed |
Funding
The facilities and expertise of the HiLIFE NMR unit at the University of Helsinki, a member of Instruct-ERIC Centre Finland, FINStruct, and Biocenter Finland are gratefully acknowledged. We acknowledge CSC – IT Center for Science for computational resources. R.N., M.L.G.R., S.M.B., E.F. and O.H.S.O. thank the Academy of Finland for funding ((grant nos. 315596, 319902 and 345631)). C.D.D. acknowledges funding by the European Research Council (StG637649), the Academy of Finland (331556), the Jane and Aatos Erkko Foundation (200057) and the Sigrid Jusélius Foundation.