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Biggers, Laurence ; Elhabashy, Hadeer ; Ackad, Edward ; Yousef, Mohammad S.:
Molecular dynamics simulations of an engineered T4 lysozyme exclude helix to sheet transition, and provide insights into long distance, intra-protein switchable motion.
In: Protein Science.
Bd. 29
(2020)
Heft 2
.
- S. 542-554.
ISSN 1469-896X
DOI: https://doi.org/10.1002/pro.3780
Abstract
An engineered variant of T4 lysozyme serves as a model for studying induced remote conformational changes in a full protein context. The design involves a duplicated surface helix, flanked by two loops, that switches between two different conformations spanning about 20 Å. Molecular dynamics simulations of the engineered protein, up to 1 μs, rule out α-helix to β-sheet transitions within the duplicated helix as suggested by others. These simulations highlight how the use of different force fields can lead to radical differences in the structure of the protein. In addition, Markov state modeling and transition path theory were employed to map a 6.6 μs simulation for possible early intermediate states and to provide insights into the onset of the switching motion. The putative intermediates involve the folding of one helical turn in the C-terminal loop through energy driven, sequential rearrangement of nearby salt bridges around the key residue Arg63. These results provide a first step towards understanding the energetics and dynamics of a rather complicated intra-protein motion.
Weitere Angaben
| Publikationsform: | Artikel in einer Zeitschrift |
|---|---|
| Begutachteter Beitrag: | Ja |
| Institutionen der Universität: | Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Chemie > Juniorprofessur Künstliche Intelligenz in der Proteinwissenschaft > Juniorprofessur Künstliche Intelligenz in der Proteinwissenschaft - Juniorprof. Dr. Hadeer Elsayed |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 500 Naturwissenschaften und Mathematik > 540 Chemie |
| Eingestellt am: | 16 Mär 2026 07:10 |
| Letzte Änderung: | 16 Mär 2026 07:10 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/96572 |