Literature DB >> 29604831

Simulation of FRET dyes allows quantitative comparison against experimental data.

Ines Reinartz1, Claude Sinner1, Daniel Nettels2, Brigitte Stucki-Buchli2, Florian Stockmar3, Pawel T Panek4, Christoph R Jacob4, Gerd Ulrich Nienhaus3, Benjamin Schuler2, Alexander Schug5.   

Abstract

Fully understanding biomolecular function requires detailed insight into the systems' structural dynamics. Powerful experimental techniques such as single molecule Förster Resonance Energy Transfer (FRET) provide access to such dynamic information yet have to be carefully interpreted. Molecular simulations can complement these experiments but typically face limits in accessing slow time scales and large or unstructured systems. Here, we introduce a coarse-grained simulation technique that tackles these challenges. While requiring only few parameters, we maintain full protein flexibility and include all heavy atoms of proteins, linkers, and dyes. We are able to sufficiently reduce computational demands to simulate large or heterogeneous structural dynamics and ensembles on slow time scales found in, e.g., protein folding. The simulations allow for calculating FRET efficiencies which quantitatively agree with experimentally determined values. By providing atomically resolved trajectories, this work supports the planning and microscopic interpretation of experiments. Overall, these results highlight how simulations and experiments can complement each other leading to new insights into biomolecular dynamics and function.

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Year:  2018        PMID: 29604831     DOI: 10.1063/1.5010434

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  9 in total

Review 1.  Successes and challenges in simulating the folding of large proteins.

Authors:  Anne Gershenson; Shachi Gosavi; Pietro Faccioli; Patrick L Wintrode
Journal:  J Biol Chem       Date:  2019-11-11       Impact factor: 5.157

2.  PAGE4 and Conformational Switching: Insights from Molecular Dynamics Simulations and Implications for Prostate Cancer.

Authors:  Xingcheng Lin; Susmita Roy; Mohit Kumar Jolly; Federico Bocci; Nicholas P Schafer; Min-Yeh Tsai; Yihong Chen; Yanan He; Alexander Grishaev; Keith Weninger; John Orban; Prakash Kulkarni; Govindan Rangarajan; Herbert Levine; José N Onuchic
Journal:  J Mol Biol       Date:  2018-06-05       Impact factor: 5.469

Review 3.  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

4.  CoCoNet-boosting RNA contact prediction by convolutional neural networks.

Authors:  Mehari B Zerihun; Fabrizio Pucci; Alexander Schug
Journal:  Nucleic Acids Res       Date:  2021-12-16       Impact factor: 16.971

5.  Evaluating DCA-based method performances for RNA contact prediction by a well-curated data set.

Authors:  Fabrizio Pucci; Mehari B Zerihun; Emanuel K Peter; Alexander Schug
Journal:  RNA       Date:  2020-04-10       Impact factor: 4.942

6.  Identifying weak interdomain interactions that stabilize the supertertiary structure of the N-terminal tandem PDZ domains of PSD-95.

Authors:  Inna S Yanez Orozco; Frank A Mindlin; Junyan Ma; Bo Wang; Brie Levesque; Matheu Spencer; Soheila Rezaei Adariani; George Hamilton; Feng Ding; Mark E Bowen; Hugo Sanabria
Journal:  Nat Commun       Date:  2018-09-13       Impact factor: 14.919

7.  Rapid interpretation of small-angle X-ray scattering data.

Authors:  Marie Weiel; Ines Reinartz; Alexander Schug
Journal:  PLoS Comput Biol       Date:  2019-03-22       Impact factor: 4.475

8.  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

9.  Including residual contact information into replica-exchange MD simulations significantly enriches native-like conformations.

Authors:  Arthur Voronin; Marie Weiel; Alexander Schug
Journal:  PLoS One       Date:  2020-11-16       Impact factor: 3.240

  9 in total

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