scholarly journals Molecular Dynamics Revealed by Single-Molecule FRET Measurement

2019 ◽  
pp. 105-113
Author(s):  
Tomohiro Shima ◽  
Sotaro Uemura
2021 ◽  
Author(s):  
Steffen Wolf ◽  
Benedikt Sohmen ◽  
Björn Hellenkamp ◽  
Johann Thurn ◽  
Gerhard Stock ◽  
...  

We report on a study that combines advanced fluorescence methods with molecular dynamics simulations to cover timescales from nanoseconds to milliseconds for a large protein, the chaperone Hsp90.


2020 ◽  
Vol 48 (5) ◽  
pp. 2232-2245 ◽  
Author(s):  
Pengning Xu ◽  
Feng Pan ◽  
Christopher Roland ◽  
Celeste Sagui ◽  
Keith Weninger

Abstract DNA trinucleotide repeats (TRs) can exhibit dynamic expansions by integer numbers of trinucleotides that lead to neurodegenerative disorders. Strand slipped hairpins during DNA replication, repair and/or recombination may contribute to TR expansion. Here, we combine single-molecule FRET experiments and molecular dynamics studies to elucidate slipping dynamics and conformations of (CAG)n TR hairpins. We directly resolve slipping by predominantly two CAG units. The slipping kinetics depends on the even/odd repeat parity. The populated states suggest greater stability for 5′-AGCA-3′ tetraloops, compared with alternative 5′-CAG-3′ triloops. To accommodate the tetraloop, even(odd)-numbered repeats have an even(odd) number of hanging bases in the hairpin stem. In particular, a paired-end tetraloop (no hanging TR) is stable in (CAG)n = even, but such situation cannot occur in (CAG)n = odd, where the hairpin is “frustrated’’ and slips back and forth between states with one TR hanging at the 5′ or 3′ end. Trinucleotide interrupts in the repeating CAG pattern associated with altered disease phenotypes select for specific conformers with favorable loop sequences. Molecular dynamics provide atomic-level insight into the loop configurations. Reducing strand slipping in TR hairpins by sequence interruptions at the loop suggests disease-associated variations impact expansion mechanisms at the level of slipped hairpins.


2008 ◽  
Vol 48 (supplement) ◽  
pp. S101
Author(s):  
Masatoshi Morimatsu ◽  
So Nishikawa ◽  
Mitsuhiro Sugawa ◽  
Atsuko H Iwane ◽  
Toshio Yanagida

2011 ◽  
Vol 100 (6) ◽  
pp. 1568-1577 ◽  
Author(s):  
Joseph P. Torella ◽  
Seamus J. Holden ◽  
Yusdi Santoso ◽  
Johannes Hohlbein ◽  
Achillefs N. Kapanidis

Author(s):  
Fabio D Steffen ◽  
Roland K O Sigel ◽  
Richard Börner

Abstract Summary Quantitative interpretation of single-molecule FRET experiments requires a model of the dye dynamics to link experimental energy transfer efficiencies to distances between atom positions. We have developed FRETraj, a Python module to predict FRET distributions based on accessible-contact volumes (ACV) and simulated photon statistics. FRETraj helps to identify optimal fluorophore positions on a biomolecule of interest by rapidly evaluating donor-acceptor distances. FRETraj is scalable and fully integrated into PyMOL and the Jupyter ecosystem. Here we describe the conformational dynamics of a DNA hairpin by computing multiple ACVs along a molecular dynamics trajectory and compare the predicted FRET distribution with single-molecule experiments. FRET-assisted modeling will accelerate the analysis of structural ensembles in particular dynamic, non-coding RNAs and transient protein-nucleic acid complexes. Availability FRETraj is implemented as a cross-platform Python package available under the GPL-3.0 on Github (https://github.com/RNA-FRETools/fretraj) and is documented at https://RNA-FRETools.github.io/fretraj Supplementary information Supplementary data are available at Bioinformatics online.


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