Dataset Information

Kinetics of conformational changes of the FKF1-LOV domain upon photoexcitation.

ABSTRACT: The photochemical reaction dynamics of a light-oxygen-voltage (LOV) domain from the blue light sensor protein, FKF1 (flavin-binding Kelch repeat F-box) was studied by means of the pulsed laser-induced transient grating method. The observed absorption spectral changes upon photoexcitation were similar to the spectral changes observed for typical LOV domain proteins (e.g., phototropins). The adduct formation took place with a time constant of 6 ?s. After this reaction, a significant conformational change with a time constant of 6 ms was observed as a change in the diffusion coefficient. An FKF1-LOV mutant without the conserved loop connecting helices E and F, which is present only in the FKF1/LOV Kelch protein 2/ZEITLUPE family, did not show these slow phase dynamics. This result indicates that the conformational change in the loop region represents a major change in the FKF1-LOV photoreaction.

SUBMITTER: Nakasone Y

PROVIDER: S-EPMC2998605 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature

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Kinetics of conformational changes of the FKF1-LOV domain upon photoexcitation.

Nakasone Yusuke Y Zikihara Kazunori K Tokutomi Satoru S Terazima Masahide M

Biophysical journal 20101201 11

The photochemical reaction dynamics of a light-oxygen-voltage (LOV) domain from the blue light sensor protein, FKF1 (flavin-binding Kelch repeat F-box) was studied by means of the pulsed laser-induced transient grating method. The observed absorption spectral changes upon photoexcitation were similar to the spectral changes observed for typical LOV domain proteins (e.g., phototropins). The adduct formation took place with a time constant of 6 μs. After this reaction, a significant conformational ...[more]

PMID: 21112308

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Project description:Protein-protein interactions represent difficult but increasingly important targets for the design of therapeutic compounds able to interfere with biological processes. Recently, fragment-based strategies have been proposed as attractive approaches for the elaboration of protein-protein surface inhibitors from fragment-like molecules. One major challenge in targeting protein-protein interactions is related to the structural adaptation of the protein surface upon molecular recognition. Methods capable of identifying subtle conformational changes of proteins upon fragment binding are therefore required at the early steps of the drug design process. In this report we present a fast NMR method able to probe subtle conformational changes upon fragment binding. The approach relies on the comparison of experimental fragment-induced Chemical Shift Perturbation (CSP) of amine protons to CSP simulated for a set of docked fragment poses, considering the ring-current effect from fragment binding. We illustrate the method by the retrospective analysis of the complex between the anti-apoptotic Bcl-xL protein and the fragment 4'-fluoro-[1,1'-biphenyl]-4-carboxylic acid that was previously shown to bind one of the Bcl-xL hot spots. The CSP-based approach shows that the protein undergoes a subtle conformational rearrangement upon interaction, for residues located in helices [Formula: see text]2, [Formula: see text]3 and the very beginning of [Formula: see text]5. Our observations are corroborated by residual dipolar coupling measurements performed on the free and fragment-bound forms of the Bcl-xL protein. These NMR-based results are in total agreement with previous molecular dynamic calculations that evidenced a high flexibility of Bcl-xL around the binding site. Here we show that CSP of protein amine protons are useful and reliable structural probes. Therefore, we propose to use CSP simulation to assess protein conformational changes upon ligand binding in the fragment-based drug design approach.

Dataset Information

Kinetics of conformational changes of the FKF1-LOV domain upon photoexcitation.

Publications

Kinetics of conformational changes of the FKF1-LOV domain upon photoexcitation.

Similar Datasets

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