Biomedical subjects

Nikola Trbovic

Publications and source records attributed to Nikola Trbovic.

5 recordsLinked to original sources

PubMed2006

Combination of cell-free expression and NMR spectroscopy as a new approach for structural investigation of membrane proteins.

Despite major technical advance in methods used for structural investigations of proteins structure determination of membrane proteins still poses a significant challenge. Recently, the application of cell-free expression systems to membrane proteins has demonstrated that this technique can be used to produce quantities sufficient for structural investigations for many different membrane proteins. In particular for NMR spectroscopy, cell-free expression provides major advantages since it allows for amino acid type selective and even amino acid position specific labeling. In this mini-review we discuss the combination of cell-free membrane protein expression and liquid state NMR spectroscopy.

Cell-Free System↗

PubMed2005

Efficient strategy for the rapid backbone assignment of membrane proteins.

Investigations of membrane proteins pose one of the biggest current challenges in structural biology. Recent advances in protein production techniques based on cell-free transcription/translation methods have, however, opened new opportunities in this area. Here, we report an efficient protocol for the backbone assignment of membrane proteins as the first step of NMR-based structure determination.

Crystallography, X-Ray↗

PubMed2005

Using wavelet de-noised spectra in NMR screening.

Principal component analysis (PCA) is a commonly used algorithm in multivariate analysis of NMR screening data. PCA substantially reduces the complexity of data in which a large number of variables are interrelated. For series of NMR spectra obtained for ligand binding, it is commonly used to visually group spectra with a similar response to ligand binding. A series of filters are applied to the experimental data to obtain suitable descriptors for PCA which optimize computational efficiency and minimize the weight of small chemical shift variations. The most common filter is bucketing where adjacent points are summed to a bucket. To overcome some inherent disadvantages of the bucketing procedure we have explored the effect of wavelet de-noising on multivariate analysis, using a series of HSQC spectra of proteins with different ligands present. The combination of wavelet de-noising and PCA is most efficient when PCA is applied to wavelet coefficients. This new algorithm yields good clustering and can be applied to series of one- or two-dimensional spectra.

Hydrogen↗

PubMed2005

Double-quantum biased covariance spectroscopy: application to the 2D INADEQUATE experiment.

A novel processing scheme is presented that converts a two-dimensional double-quantum NMR spectrum into a single-quantum correlation spectrum. The covariance-like spectrum is computed from the 2D Fourier transform spectrum by emphasizing contributions that fulfill the double-quantum condition resulting in a symmetric spectrum that is easier to analyze. The method is demonstrated for the 2D INADEQUATE experiment.

Carbon Isotopes↗

PubMed2004

Covariance NMR spectroscopy by singular value decomposition.

Covariance NMR is demonstrated for homonuclear 2D NMR data collected using the hypercomplex and TPPI methods. Absorption mode 2D spectra are obtained by application of the square-root operation to the covariance matrices. The resulting spectra closely resemble the 2D Fourier transformation spectra, except that they are fully symmetric with the spectral resolution along both dimensions determined by the favorable resolution achievable along omega2. An efficient method is introduced for the calculation of the square root of the covariance spectrum by applying a singular value decomposition (SVD) directly to the mixed time-frequency domain data matrix. Applications are shown for 2D NOESY and 2QF-COSY data sets and computational benchmarks are given for data matrix dimensions typically encountered in practice. The SVD implementation makes covariance NMR amenable to routine applications.

Magnetic Resonance Spectroscopy↗