Literature DB >> 26039173

Quantitative interpretation of FRET experiments via molecular simulation: force field and validation.

Robert B Best1, Hagen Hofmann2, Daniel Nettels2, Benjamin Schuler3.   

Abstract

Molecular simulation is a valuable and complementary tool that may assist with the interpretation of single-molecule Förster resonance energy transfer (FRET) experiments, if the energy function is of sufficiently high quality. Here we present force-field parameters for one of the most common pairs of chromophores used in experiments, AlexaFluor 488 and 594. From microsecond molecular-dynamics simulations, we are able to recover both experimentally determined equilibrium constants and association/dissociation rates of the chromophores with free tryptophan, as well as the decay of fluorescence anisotropy of a labeled protein. We find that it is particularly important to obtain a correct balance of solute-water interactions in the simulations in order to faithfully capture the experimental anisotropy decays, which provide a sensitive benchmark for fluorophore mobility. Lastly, by a combination of experiment and simulation, we address a potential complication in the interpretation of experiments on polyproline, used as a molecular ruler for FRET experiments, namely the potential association of one of the chromophores with the polyproline helix. Under conditions where simulations accurately capture the fluorescence anisotropy decay, we find at most a modest, transient population of conformations in which the chromophores associate with the polyproline. Explicit calculation of FRET transfer efficiencies for short polyprolines yields results in good agreement with experiment. These results illustrate the potential power of a combination of molecular simulation and experiment in quantifying biomolecular dynamics.
Copyright © 2015 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26039173      PMCID: PMC4457477          DOI: 10.1016/j.bpj.2015.04.038

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  62 in total

1.  A point-charge force field for molecular mechanics simulations of proteins based on condensed-phase quantum mechanical calculations.

Authors:  Yong Duan; Chun Wu; Shibasish Chowdhury; Mathew C Lee; Guoming Xiong; Wei Zhang; Rong Yang; Piotr Cieplak; Ray Luo; Taisung Lee; James Caldwell; Junmei Wang; Peter Kollman
Journal:  J Comput Chem       Date:  2003-12       Impact factor: 3.376

2.  How fast-folding proteins fold.

Authors:  Kresten Lindorff-Larsen; Stefano Piana; Ron O Dror; David E Shaw
Journal:  Science       Date:  2011-10-28       Impact factor: 47.728

3.  Comparison of multiple Amber force fields and development of improved protein backbone parameters.

Authors:  Viktor Hornak; Robert Abel; Asim Okur; Bentley Strockbine; Adrian Roitberg; Carlos Simmerling
Journal:  Proteins       Date:  2006-11-15

4.  Orientational averaging of dye molecules attached to proteins in Förster resonance energy transfer measurements: insights from a simulation study.

Authors:  Lucy R Allen; Emanuele Paci
Journal:  J Chem Phys       Date:  2009-08-14       Impact factor: 3.488

Review 5.  Advances in single-molecule fluorescence methods for molecular biology.

Authors:  Chirlmin Joo; Hamza Balci; Yuji Ishitsuka; Chittanon Buranachai; Taekjip Ha
Journal:  Annu Rev Biochem       Date:  2008       Impact factor: 23.643

6.  Concerted dihedral rotations give rise to internal friction in unfolded proteins.

Authors:  Ignacia Echeverria; Dmitrii E Makarov; Garegin A Papoian
Journal:  J Am Chem Soc       Date:  2014-06-04       Impact factor: 15.419

7.  Modest influence of FRET chromophores on the properties of unfolded proteins.

Authors:  Gül H Zerze; Robert B Best; Jeetain Mittal
Journal:  Biophys J       Date:  2014-10-07       Impact factor: 4.033

8.  Accurate distance determination of nucleic acids via Förster resonance energy transfer: implications of dye linker length and rigidity.

Authors:  Simon Sindbert; Stanislav Kalinin; Hien Nguyen; Andrea Kienzler; Lilia Clima; Willi Bannwarth; Bettina Appel; Sabine Müller; Claus A M Seidel
Journal:  J Am Chem Soc       Date:  2011-02-03       Impact factor: 15.419

9.  Interplay of alpha-synuclein binding and conformational switching probed by single-molecule fluorescence.

Authors:  Allan Chris M Ferreon; Yann Gambin; Edward A Lemke; Ashok A Deniz
Journal:  Proc Natl Acad Sci U S A       Date:  2009-03-17       Impact factor: 11.205

10.  Effect of flexibility and cis residues in single-molecule FRET studies of polyproline.

Authors:  Robert B Best; Kusai A Merchant; Irina V Gopich; Benjamin Schuler; Ad Bax; William A Eaton
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-20       Impact factor: 11.205

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  18 in total

Review 1.  Force field development and simulations of intrinsically disordered proteins.

Authors:  Jing Huang; Alexander D MacKerell
Journal:  Curr Opin Struct Biol       Date:  2017-11-05       Impact factor: 6.809

2.  An in vitro tag-and-modify protein sample generation method for single-molecule fluorescence resonance energy transfer.

Authors:  Kambiz M Hamadani; Jesse Howe; Madeleine K Jensen; Peng Wu; Jamie H D Cate; Susan Marqusee
Journal:  J Biol Chem       Date:  2017-07-28       Impact factor: 5.157

3.  Probing the Action of Chemical Denaturant on an Intrinsically Disordered Protein by Simulation and Experiment.

Authors:  Wenwei Zheng; Alessandro Borgia; Karin Buholzer; Alexander Grishaev; Benjamin Schuler; Robert B Best
Journal:  J Am Chem Soc       Date:  2016-09-01       Impact factor: 15.419

4.  Inferring properties of disordered chains from FRET transfer efficiencies.

Authors:  Wenwei Zheng; Gül H Zerze; Alessandro Borgia; Jeetain Mittal; Benjamin Schuler; Robert B Best
Journal:  J Chem Phys       Date:  2018-03-28       Impact factor: 3.488

5.  Accurate Transfer Efficiencies, Distance Distributions, and Ensembles of Unfolded and Intrinsically Disordered Proteins From Single-Molecule FRET.

Authors:  Erik D Holmstrom; Andrea Holla; Wenwei Zheng; Daniel Nettels; Robert B Best; Benjamin Schuler
Journal:  Methods Enzymol       Date:  2018-11-16       Impact factor: 1.600

6.  Linking time-series of single-molecule experiments with molecular dynamics simulations by machine learning.

Authors:  Yasuhiro Matsunaga; Yuji Sugita
Journal:  Elife       Date:  2018-05-03       Impact factor: 8.140

7.  Empirical Optimization of Interactions between Proteins and Chemical Denaturants in Molecular Simulations.

Authors:  Wenwei Zheng; Alessandro Borgia; Madeleine B Borgia; Benjamin Schuler; Robert B Best
Journal:  J Chem Theory Comput       Date:  2015-10-13       Impact factor: 6.006

8.  Lipid Configurations from Molecular Dynamics Simulations.

Authors:  Weria Pezeshkian; Himanshu Khandelia; Derek Marsh
Journal:  Biophys J       Date:  2018-04-24       Impact factor: 4.033

9.  Computational and Experimental Approaches to Investigate Lipid Nanoparticles as Drug and Gene Delivery Systems.

Authors:  Chun Chan; Shi Du; Yizhou Dong; Xiaolin Cheng
Journal:  Curr Top Med Chem       Date:  2021       Impact factor: 3.295

Review 10.  FRET-based dynamic structural biology: Challenges, perspectives and an appeal for open-science practices.

Authors:  Eitan Lerner; Anders Barth; Jelle Hendrix; Benjamin Ambrose; Victoria Birkedal; Scott C Blanchard; Richard Börner; Hoi Sung Chung; Thorben Cordes; Timothy D Craggs; Ashok A Deniz; Jiajie Diao; Jingyi Fei; Ruben L Gonzalez; Irina V Gopich; Taekjip Ha; Christian A Hanke; Gilad Haran; Nikos S Hatzakis; Sungchul Hohng; Seok-Cheol Hong; Thorsten Hugel; Antonino Ingargiola; Chirlmin Joo; Achillefs N Kapanidis; Harold D Kim; Ted Laurence; Nam Ki Lee; Tae-Hee Lee; Edward A Lemke; Emmanuel Margeat; Jens Michaelis; Xavier Michalet; Sua Myong; Daniel Nettels; Thomas-Otavio Peulen; Evelyn Ploetz; Yair Razvag; Nicole C Robb; Benjamin Schuler; Hamid Soleimaninejad; Chun Tang; Reza Vafabakhsh; Don C Lamb; Claus Am Seidel; Shimon Weiss
Journal:  Elife       Date:  2021-03-29       Impact factor: 8.140

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