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Biomedical subjects

Homayoun Valafar

Publications and source records attributed to Homayoun Valafar.

6 recordsLinked to original sources

Assessment of protein alignment using 1H-1H residual dipolar coupling measurements.

A quick and accurate method is described for assessing protein alignment from residual dipolar coupling (RDC) measurements. In contrast to observing D(2)O resonance splitting, which reflects the orientational order of the alignment medium, the degree of alignment of a protein of interest can be estimated directly from (1)H-(1)H RDCs. In this study, RDCs between aromatic protons in unlabeled Cp-rubredoxin were measured from proton homonuclear J-resolved experiments with high sensitivity, and the alignment was assessed without the need of extensive resonance assignment. Since labeled proteins are not needed, this method provides an efficient way for screening alignment media. In situations where the protein structure is known, as in the case of Cp-rubredoxin, a full set of order tensor parameters can be determined, allowing further studies, such as those of ligand alignment relative to a target protein.

Bacterial Proteins↗

NMR structural studies reveal a novel protein fold for MerB, the organomercurial lyase involved in the bacterial mercury resistance system.

Mercury resistant bacteria have developed a system of two enzymes (MerA and MerB), which allows them to efficiently detoxify both ionic and organomercurial compounds. The organomercurial lyase (MerB) catalyzes the protonolysis of the carbon-mercury bond resulting in the formation of ionic mercury and a reduced hydrocarbon. The ionic mercury [Hg(II)] is subsequently reduced to the less reactive elemental mercury [Hg(0)] by a specific mercuric reductase (MerA). To better understand MerB's unique enzymatic activity, we used nuclear magnetic resonance (NMR) spectroscopy to determine the structure of the free enzyme. MerB is characterized by a novel protein fold consisting of three noninteracting antiparallel beta-sheets surrounded by six alpha-helices. By comparing the NMR data of free MerB and the MerB/Hg/DTT complex, we identified a set of residues that likely define a Hg/DTT binding site. These residues cluster around two cysteines (C(96) and C(159)) that are crucial to MerB's catalytic activity. A detailed analysis of the structure revealed the presence of an extensive hydrophobic groove adjacent to this Hg/DTT binding site. This extensive hydrophobic groove has the potential to interact with the hydrocarbon moiety of a wide variety of substrates and may explain the broad substrate specificity of MerB.

Amino Acid Sequence↗

REDCAT: a residual dipolar coupling analysis tool.

Recent advancements in the utilization of residual dipolar couplings (RDCs) as a means of structure validation and elucidation have demonstrated the need for, not only a more user friendly, but also a more powerful RDC analysis tool. In this paper, we introduce a software package named REsidual Dipolar Coupling Analysis Tool (REDCAT) designed to address the above issues. REDCAT is a user-friendly program with its graphical-user-interface developed in Tcl/Tk, which is highly portable. Furthermore, the computational engine behind this GUI is written in C/C++ and its computational performance is therefore excellent. The modular implementation of REDCAT's algorithms, with separation of the computational engine from the graphical engine allows for flexible and easy command line interaction. This feature can be utilized for the design of automated data analysis sessions. Furthermore, this software package is portable to Linux clusters for high throughput applications. In addition to basic utilities to solve for order tensors and back calculate couplings from a given order tensor and proposed structure, a number of improved algorithms have been incorporated. These include the proper sampling of the Null-space (when the system of linear equations is under-determined), more sophisticated filters for invalid order-tensor identification, error analysis for the identification of the problematic measurements and simulation of the effects of dynamic averaging processes.

Algorithms↗

Assignment of protein backbone resonances using connectivity, torsion angles and 13Calpha chemical shifts.

A program is presented which will return the most probable sequence location for a short connected set of residues in a protein given just (13)C(alpha) chemical shifts (delta((13)C(alpha))) and data restricting the phi and psi backbone angles. Data taken from both the BioMagResBank and the Protein Data Bank were used to create a probability density function (PDF) using a multivariate normal distribution in delta((13)C(alpha)), phi, and psi space for each amino acid residue. Extracting and combining probabilities for particular amino acid residues in a short proposed sequence yields a score indicative of the correctness of the proposed assignment. The program is illustrated using several proteins for which structure and (13)C(alpha) chemical shift data are available.

Bacterial Proteins↗

Rapid classification of a protein fold family using a statistical analysis of dipolar couplings.

MOTIVATION: One of the primary aims of the structural genomics initiative is the determination of representative structures from each protein fold family. Given this objective, it is important to rapidly identify proteins that belong to a family that is already well populated (so they can be eliminated from further studies), or more importantly identify proteins that represent new families of fold. RESULTS: A method for rapid classification to a fold family by the statistical analyses of unassigned the (15)N-(1)H residual dipolar couplings is presented. The required NMR data can be quickly acquired and analyzed. Using this method, structure determination efforts can be focused on more unique and interesting structures, and the overall efficiency in the construction of an information-rich library can be increased.

Algorithms↗

Datamining protein structure databanks for crystallization patterns of proteins.

A study of 345 protein structures selected among 1,500 structures determined by nuclear magnetic resonance (NMR) methods, revealed useful correlations between crystallization properties and several parameters for the studied proteins. NMR methods of structure determination do not require the growth of protein crystals, and hence allow comparison of properties of proteins that have or have not been the subject of crystallographic approaches. One- and two-dimensional statistical analyses of the data confirmed a hypothesized relation between the size of the molecule and its crystallization potential. Furthermore, two-dimensional Bayesian analysis revealed a significant relationship between relative ratio of different secondary structures and the likelihood of success for crystallization trials. The most immediate result is an apparent correlation of crystallization potential with protein size. Further analysis of the data revealed a relationship between the unstructured fraction of proteins and the success of its crystallization. Utilization of Bayesian analysis on the latter correlation resulted in a prediction performance of about 64%, whereas a two-dimensional Bayesian analysis succeeded with a performance of about 75%.

Bayes Theorem↗