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Pei Zhou

Publications and source records attributed to Pei Zhou.

4 recordsLinked to original sources

Characteristics of the interaction of a synthetic human tristetraprolin tandem zinc finger peptide with AU-rich element-containing RNA substrates.

Tristetraprolin (TTP) and its two known mammalian family members are tandem CCCH zinc finger proteins that can bind to AU-rich elements (AREs) in cellular mRNAs and destabilize those transcripts, apparently by initiating their deadenylation. Previous studies have shown that the approximately 70-amino acid tandem zinc finger domain of TTP is required and sufficient for RNA binding, and that the integrity of both zinc fingers is also required. However, little is known about the kinetics or structure of the peptide-RNA interaction, in part because of difficulties in obtaining soluble recombinant protein or peptides. We characterized the binding of a synthetic 73-amino acid peptide from human TTP to the tumor necrosis factor (TNF) ARE by gel mobility shift analyses and fluorescence anisotropy experiments. Both types of studies yielded a peptide-RNA dissociation constant of approximately 10 nM. Surprisingly, we found that the "footprint" from the TNF ARE required for peptide binding was only approximately 9 bases and that two molecules of peptide could bind to probes containing as little as 19 bases. An identical recombinant peptide exhibited gel shift characteristics similar to those of the synthetic peptide. NMR analysis of the 15N-labeled recombinant peptide suggested that its first zinc finger was structured in solution but that the second was not. The titration of oligonucleotides representing 17, 13, and even 9 bases of the TNF ARE caused an essentially identical, dramatic shift of existing resonances, and the appearance of new resonances in the peptide spectra, so that all amino acids could be assigned. These data suggest that this TTP peptide-RNA complex is structured in solution and might be amenable to NMR structure determination.

Amino Acid Sequence↗

PACES: Protein sequential assignment by computer-assisted exhaustive search.

A crucial step in determining solution structures of proteins using nuclear magnetic resonance (NMR) spectroscopy is the process of sequential assignment, which correlates backbone resonances to corresponding residues in the primary sequence of a protein, today, typically using data from triple-resonance NMR experiments. Although the development of automated approaches for sequential assignment has greatly facilitated this process, the performance of these programs is usually less satisfactory for large proteins, especially in the cases of missing connectivity or severe chemical shift degeneracy. Here, we report the development of a novel computer-assisted method for sequential assignment, using an algorithm that conducts an exhaustive search of all spin systems both for establishing sequential connectivities and then for assignment. By running the program iteratively with user intervention after each cycle, ambiguities in the assignments can be eliminated efficiently and backbone resonances can be assigned rapidly. The efficiency and robustness of this approach have been tested with 27 proteins of sizes varying from 76 amino acids to 723 amino acids, and with data of varying qualities, using experimental data for three proteins, and published assignments modified with simulated noise for the other 24. The complexity of sequential assignment with regard to the size of the protein, the completeness of NMR data sets, and the uncertainty in resonance positions has been examined.

Algorithms↗

Structure of the LpxC deacetylase with a bound substrate-analog inhibitor.

The zinc-dependent UDP-3-O-acyl-N-acetylglucosamine deacetylase (LpxC) catalyzes the first committed step in the biosynthesis of lipid A, the hydrophobic anchor of lipopolysaccharide (LPS) that constitutes the outermost monolayer of Gram-negative bacteria. As LpxC is crucial for the survival of Gram-negative organisms and has no sequence homology to known mammalian deacetylases or amidases, it is an excellent target for the design of new antibiotics. The solution structure of LpxC from Aquifex aeolicus in complex with a substrate-analog inhibitor, TU-514, reveals a novel alpha/beta fold, a unique zinc-binding motif and a hydrophobic passage that captures the acyl chain of the inhibitor. On the basis of biochemical and structural studies, we propose a catalytic mechanism for LpxC, suggest a model for substrate binding and provide evidence that mobility and dynamics in structural motifs close to the active site have key roles in the capture of the substrate.

Amidohydrolases↗

A novel approach for characterizing protein ligand complexes: molecular basis for specificity of small-molecule Bcl-2 inhibitors.

The increasing diversity of small molecule libraries has been an important source for the development of new drugs and, more recently, for unraveling the mechanisms of cellular events-a process termed chemical genetics.(1) Unfortunately, the majority of currently available compounds are mechanism-based enzyme inhibitors, whereas most of cellular activity regulation proceeds on the level of protein-protein interactions. Hence, the development of small molecule inhibitors of protein-protein interactions is important. When screening compound libraries, low-micromolar inhibitors of protein interactions can be routinely found. The enhancement of affinities and rationalization of the binding mechanism require structural information about the protein-ligand complexes. Crystallization of low-affinity complexes is difficult, and their NMR analysis suffers from exchange broadening, which limits the number of obtainable intermolecular constraints. Here we present a novel method of ligand validation and optimization, which is based on the combination of structural and computational approaches. We successfully used this method to analyze the basis for structure-activity relationships of previously selected (2) small molecule inhibitors of the antiapoptotic protein Bcl-xL and identified new members of this inhibitor family.

Acetates↗