Literature DB >> 22331099

Calculation of transition dipole moment in fluorescent proteins--towards efficient energy transfer.

Tamar Ansbacher1, Hemant Kumar Srivastava, Tamar Stein, Roi Baer, Maarten Merkx, Avital Shurki.   

Abstract

Förster Resonance Energy Transfer (FRET) between fluorescent proteins (FPs) is widely used to construct fluorescent sensor proteins, to study intracellular protein-protein interactions and to monitor conformational changes in multidomain proteins. Although FRET depends strongly on the orientation of the transition dipole moments (TDMs) of the donor and acceptor fluorophores, this orientation dependence is currently not taken into account in FRET sensor design. Similarly, studies that use FRET to derive structural constrains typically assume a κ(2) of 2/3 or use the TDM of green fluorescent protein, as this is the only FP for which the TDM has been determined experimentally. Here we used time-dependent density functional theory (TD-DFT) methods to calculate the TDM for a comprehensive list of commonly used fluorescent proteins. The method was validated against higher levels of calculation. Validation with model compounds and the experimentally determined TDM of GFP shows that the TDM is mostly determined by the structure of the π-conjugated fluorophore and is insensitive to non-conjugated side chains or the protein surrounding. Our calculations not only provide TDM for most of the currently used FPs, but also suggest an empirical rule that can be used to obtain the TDMs for newly developed fluorescent proteins in the future.

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Year:  2012        PMID: 22331099     DOI: 10.1039/c2cp23351g

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


  14 in total

1.  Estimating orientation factors in the FRET theory of fluorescent proteins: the TagRFP-KFP pair and beyond.

Authors:  Maria Khrenova; Igor Topol; Jack Collins; Alexander Nemukhin
Journal:  Biophys J       Date:  2015-01-06       Impact factor: 4.033

2.  Design and Properties of Genetically Encoded Probes for Sensing Macromolecular Crowding.

Authors:  Boqun Liu; Christoffer Åberg; Floris J van Eerden; Siewert J Marrink; Bert Poolman; Arnold J Boersma
Journal:  Biophys J       Date:  2017-05-09       Impact factor: 4.033

3.  Blue M2: an intermediate melanoidin studied via conceptual DFT.

Authors:  Juan Frau; Daniel Glossman-Mitnik
Journal:  J Mol Model       Date:  2018-05-31       Impact factor: 1.810

Review 4.  Revealing Nucleic Acid Mutations Using Förster Resonance Energy Transfer-Based Probes.

Authors:  Nina P L Junager; Jacob Kongsted; Kira Astakhova
Journal:  Sensors (Basel)       Date:  2016-07-27       Impact factor: 3.576

5.  Computational refinement of spectroscopic FRET measurements.

Authors:  Alexander Kyrychenko; Mykola V Rodnin; Chiranjib Ghatak; Alexey S Ladokhin
Journal:  Data Brief       Date:  2017-04-02

6.  Chemical Reactivity Properties, pKa Values, AGEs Inhibitor Abilities and Bioactivity Scores of the Mirabamides A⁻H Peptides of Marine Origin Studied by Means of Conceptual DFT.

Authors:  Juan Frau; Norma Flores-Holguín; Daniel Glossman-Mitnik
Journal:  Mar Drugs       Date:  2018-08-28       Impact factor: 5.118

7.  Dynamic tuning of FRET in a green fluorescent protein biosensor.

Authors:  Pablo Trigo-Mourino; Thomas Thestrup; Oliver Griesbeck; Christian Griesinger; Stefan Becker
Journal:  Sci Adv       Date:  2019-08-07       Impact factor: 14.136

8.  Probing Interdomain Linkers and Protein Supertertiary Structure In Vitro and in Live Cells with Fluorescent Protein Resonance Energy Transfer.

Authors:  Sujit Basak; Nabanita Sakia; Laura Dougherty; Zhuojun Guo; Fang Wu; Frank Mindlin; Jeffrey W Lary; James L Cole; Feng Ding; Mark E Bowen
Journal:  J Mol Biol       Date:  2021-01-01       Impact factor: 5.469

9.  Virtual Screening of Marine Natural Compounds by Means of Chemoinformatics and CDFT-Based Computational Peptidology.

Authors:  Norma Flores-Holguín; Juan Frau; Daniel Glossman-Mitnik
Journal:  Mar Drugs       Date:  2020-09-20       Impact factor: 5.118

10.  Conceptual DFT-Based Computational Peptidology of Marine Natural Compounds: Discodermins A-H.

Authors:  Norma Flores-Holguín; Juan Frau; Daniel Glossman-Mitnik
Journal:  Molecules       Date:  2020-09-11       Impact factor: 4.411

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