Characterizing Protein Dynamics with Integrative Use of Bulk and Single-Molecule Techniques.
Zhu LiuZhou GongYong CaoYue-He DingMeng-Qiu DongYun-Bi LuWei-Ping ZhangChun TangPublished in: Biochemistry (2017)
A protein dynamically samples multiple conformations, and the conformational dynamics enables protein function. Most biophysical measurements are ensemble-based, with the observables averaged over all members of the ensemble. Though attainable, the decomposition of the observables to the constituent conformational states can be computationally expensive and ambiguous. Here we show that the incorporation of single-molecule fluorescence resonance energy transfer (smFRET) data resolves the ambiguity and affords protein ensemble structures that are more precise and accurate. Using K63-linked diubiquitin, we characterize the dynamic domain arrangements of the model system, with the use of chemical cross-linking coupled with mass spectrometry (CXMS), small-angle X-ray scattering (SAXS), and smFRET techniques. CXMS allows the modeling of protein conformational states that are alternatives to the crystal structure. SAXS provides ensemble-averaged low-resolution shape information. Importantly, smFRET affords state-specific populations, and the FRET distances validate the ensemble structures obtained by refining against CXMS and SAXS restraints. Together, the integrative use of bulk and single-molecule techniques affords better insight into protein dynamics and shall be widely implemented in structural biology.
Keyphrases
- single molecule
- atomic force microscopy
- living cells
- energy transfer
- high resolution
- mass spectrometry
- protein protein
- amino acid
- binding protein
- crystal structure
- convolutional neural network
- liquid chromatography
- molecular dynamics
- electronic health record
- healthcare
- small molecule
- computed tomography
- quantum dots
- fluorescent probe
- high speed
- network analysis
- health information
- gas chromatography