Literature DB >> 24824374

Accounting for dye diffusion and orientation when relating FRET measurements to distances: three simple computational methods.

Katarzyna Walczewska-Szewc1, Ben Corry.   

Abstract

Förster resonance energy transfer (FRET) allows in principal for the structural changes of biological systems to be revealed by monitoring distributions and distance fluctuations between parts of individual molecules. However, because flexible probes usually have to be attached to the macromolecule to conduct these experiments, they suffer from uncertainty in probe positions and orientations. One of the way to address this issue is to use molecular dynamics simulations to explicitly model the likely positions of the probes, but, this is still not widely accessible because of the large computational effort required. Here we compare three simpler methods that can potentially replace MD simulations in FRET data interpretation. In the first, the volume accessible for dye movement is calculated using a fast, geometrical algorithm. The next method, adapted from the analysis of electron paramagnetic studies, utilises a library of rotamers describing probe conformations. The last method uses preliminary MD simulations of fluorescent dyes in solution, to identify all conformational states of dyes and overlays this on the macromolecular system. A comparison of these methods in the simple system of dye-labelled polyproline, shows that in the case of lack of interaction between the dye and host, all give results comparable with MD simulations but require much less time. Differences between these three methods and their ability to compete with MD simulations in the analysis of real experiment are demonstrated and discussed using the examples of cold shock protein and leucine transporter systems.

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Year:  2014        PMID: 24824374     DOI: 10.1039/c4cp01222d

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  8 in total

1.  Combining Graphical and Analytical Methods with Molecular Simulations To Analyze Time-Resolved FRET Measurements of Labeled Macromolecules Accurately.

Authors:  Thomas-Otavio Peulen; Oleg Opanasyuk; Claus A M Seidel
Journal:  J Phys Chem B       Date:  2017-08-28       Impact factor: 2.991

2.  Förster resonance energy transfer: Role of diffusion of fluorophore orientation and separation in observed shifts of FRET efficiency.

Authors:  Bram Wallace; Paul J Atzberger
Journal:  PLoS One       Date:  2017-05-19       Impact factor: 3.240

3.  Monomeric Huntingtin Exon 1 Has Similar Overall Structural Features for Wild-Type and Pathological Polyglutamine Lengths.

Authors:  John B Warner; Kiersten M Ruff; Piau Siong Tan; Edward A Lemke; Rohit V Pappu; Hilal A Lashuel
Journal:  J Am Chem Soc       Date:  2017-10-09       Impact factor: 15.419

4.  Quantitative Description of Intrinsically Disordered Proteins Using Single-Molecule FRET, NMR, and SAXS.

Authors:  Samuel Naudi-Fabra; Maud Tengo; Malene Ringkjøbing Jensen; Martin Blackledge; Sigrid Milles
Journal:  J Am Chem Soc       Date:  2021-11-24       Impact factor: 15.419

5.  The importance of the compact disordered state in the fuzzy interactions between intrinsically disordered proteins.

Authors:  Dan Wang; Shaowen Wu; Dongdong Wang; Xingyu Song; Maohua Yang; Wolun Zhang; Shaohui Huang; Jingwei Weng; Zhijun Liu; Wenning Wang
Journal:  Chem Sci       Date:  2022-01-28       Impact factor: 9.825

6.  Refining the RNA Force Field with Small-Angle X-ray Scattering of Helix-Junction-Helix RNA.

Authors:  Weiwei He; Nawavi Naleem; Diego Kleiman; Serdal Kirmizialtin
Journal:  J Phys Chem Lett       Date:  2022-04-11       Impact factor: 6.888

7.  Unraveling multi-state molecular dynamics in single-molecule FRET experiments. I. Theory of FRET-lines.

Authors:  Anders Barth; Oleg Opanasyuk; Thomas-Otavio Peulen; Suren Felekyan; Stanislav Kalinin; Hugo Sanabria; Claus A M Seidel
Journal:  J Chem Phys       Date:  2022-04-14       Impact factor: 4.304

8.  Integrating single-molecule spectroscopy and simulations for the study of intrinsically disordered proteins.

Authors:  Jhullian J Alston; Andrea Soranno; Alex S Holehouse
Journal:  Methods       Date:  2021-04-06       Impact factor: 3.608

  8 in total

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