Design and synthesis of paromomycin-related heterocycle-substituted aminoglycoside mimetics based on a mass spectrometry RNA-binding assay.
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Aminoglycosides↗
Biomedical subjects
Richard H Griffey
Publications and source records attributed to Richard H Griffey.
Multitarget affinity/specificity screening of natural products: finding and characterizing high-affinity ligands from complex mixtures by using high-performance mass spectrometry.
In this work we describe a high-throughput screening approach based on electrospray ionization-Fourier transform ion cyclotron resonance mass spectrometry (ESI-FTICR) that rapidly interrogates the noncovalent interaction between RNA-based drug targets and components derived from a bacterial natural product library. The screening process detects molecules present in the natural product library that bind to a synthetic RNA target that mimics the prokaryotic 16S rRNA A-site, while simultaneously measuring specificity for the synthetic A-site target using a control RNA target that lacks the critical structural element of the A-site construct. This screening approach known as multitarget affinity/specificity screening (MASS) demonstrated the expected binding of paromomycin from a fractionated natural product library derived from Streptomyces rimosus sp. paromomycinus. A new molecule was observed to bind with specificity to the 16S A-site RNA construct. MS/MS characterization of this species yielded partial structural information suggesting it is an aminoglycoside consisting of a paromomycin core with one or more modified rings. This work demonstrates the tremendous utility of MASS for screening natural product fractions against macromolecular targets.
Base Sequence↗
Discovery of RNA structural elements using evolutionary computation.
RNA molecules fold into characteristic secondary and tertiary structures that account for their diverse functional activities. Many of these RNA structures, or certain structural motifs within them, are thought to recur in multiple genes within a single organism or across the same gene in several organisms and provide a common regulatory mechanism. Search algorithms, such as RNAMotif, can be used to mine nucleotide sequence databases for these repeating motifs. RNAMotif allows users to capture essential features of known structures in detailed descriptors and can be used to identify, with high specificity, other similar motifs within the nucleotide database. However, when the descriptor constraints are relaxed to provide more flexibility, or when there is very little a priori information about hypothesized RNA structures, the number of motif 'hits' may become very large. Exhaustive methods to search for similar RNA structures over these large search spaces are likely to be computationally intractable. Here we describe a powerful new algorithm based on evolutionary computation to solve this problem. A series of experiments using ferritin IRE and SRP RNA stem-loop motifs were used to verify the method. We demonstrate that even when searching extremely large search spaces, of the order of 10(23) potential solutions, we could find the correct solution in a fraction of the time it would have taken for exhaustive comparisons.
Algorithms↗
SAR by MS: a ligand based technique for drug lead discovery against structured RNA targets.
A technique for lead discovery vs RNA targets utilizing mass spectrometry (MS) screening methods is described. The structure-activity relationships (SAR) derived from assaying weak binding motifs allows the pharmacophores discovered to be elaborated via "SAR by MS" to higher affinity ligands. Application of this strategy to a subdomain of the 23S rRNA afforded a new class of compounds with functional activity.
Amino Acids↗
Converting solution macromolecular thermodynamic properties into gas-phase mass spectrometry observations.
Solution dissociation constants and changes in free energies associated with ligand binding to proteins have been measured in the gas phase using mass spectrometry.
Kinetics↗
A bioinformatics based approach to discover small RNA genes in the Escherichia coli genome.
The recent explosion in available bacterial genome sequences has initiated the need to improve an ability to annotate important sequence and structural elements in a fast, efficient and accurate manner. In particular, small non-coding RNAs (sRNAs) have been difficult to predict. The sRNAs play an important number of structural, catalytic and regulatory roles in the cell. Although a few groups have recently published prediction methods for annotating sRNAs in bacterial genome, much remains to be done in this field. Toward the goal of developing an efficient method for predicting unknown sRNA genes in the completed Escherichia coli genome, we adopted a bioinformatics approach to search for DNA regions that contain a sigma70 promoter within a short distance of a rho-independent terminator. Among a total of 227 candidate sRNA genes initially identified, 32 were previously described sRNAs, orphan tRNAs, and partial tRNA and rRNA operons. Fifty-one are mRNAs genes encoding annotated extremely small open reading frames (ORFs) following an acceptable ribosome binding site. One hundred forty-four are potentially novel non-translatable sRNA genes. Using total RNA isolated from E. coli MG1655 cells grown under four different conditions, we verified transcripts of some of the genes by Northern hybridization. Here we summarize our data and discuss the rules and advantages/disadvantages of using this approach in annotating sRNA genes on bacterial genomes.
Base Sequence↗