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At least 811 records · Page 45Linked to original sources
PubMed2003

Thermodynamics of aminoglycoside-rRNA recognition.

2-Deoxystreptamine (2-DOS) aminoglycosides are a family of structurally related broad-spectrum antibiotics that are used widely in the treatment of infections caused by aerobic Gram-negative bacilli. Their antibiotic activities are ascribed to their abilities to bind a highly conserved A site in the 16 S rRNA of the 30 S ribosomal subunit and interfere with protein synthesis. The abilities of the 2-DOS aminoglycosides to recognize a specific subdomain of a large RNA molecule make these compounds archetypical models for RNA-targeting drugs. This article presents a series of calorimetric, spectroscopic, osmotic stress, and computational studies designed to evaluate the thermodynamics (DeltaG, DeltaH, DeltaS, DeltaCp) of aminoglycoside-rRNA interactions, as well as the hydration changes that accompany these interactions. In conjunction with the current structural database, the results of these studies provide important insights into the molecular forces that dictate and control the rRNA binding affinities and specificities of the aminoglycosides. Significantly, identification of these molecular driving forces [which include binding-linked drug protonation reactions, polyelectrolyte contributions from counterion release, conformational changes, hydration effects, and molecular interactions (e.g., hydrogen bonds and van der Waals interactions)], as well as the relative magnitudes of their contributions to the binding free energy, could not be achieved by consideration of structural data alone, highlighting the importance of acquiring both thermodynamic and structural information for developing a complete understanding of the drug-RNA binding process. The results presented here begin to establish a database that can be used to predict, over a range of conditions, the relative affinity of a given aminoglycoside or aminoglycoside mimetic for a targeted RNA site vs binding to potential competing secondary sites. This type of predictive capability is essential for establishment of a rational design approach to the development of new RNA-targeted drugs.

Aminoglycosides↗
PubMed2005

Quantitative analysis of shape-specific interactions of Rev response element with a positively charged Rev peptide by capillary electrophoresis.

Human immunodeficiency virus type 1 (HIV-1) Rev protein is known to regulate the expression of proteins via binding to an RNA site termed the HIV Rev response element (RRE) presumably with a defined shape, mediated mainly by electrostatic interactions. We have developed a quantitative method based on CE-LIF detection for a systematic evaluation of interactions between a truncated RRE (tRRE) RNA and an HIV-1 Rev peptide. Employing a fluorescently labeled HIV-1 Rev protein fragment (RevF) as a probe, buffers were evaluated for the separation and detection as well as for the RNA shape-specific formation of the complex. Selection of an optimal buffer condition allowed us to perform quantitation of the tRRE-RevF complex formation and determine its dissociation constant. In addition, competitive inhibitions of the RNA-peptide interaction by some aminoglycosides were evaluated quantitatively by monitoring the complex peak, resulting in determination of IC(50) values. This sensitive and reliable CE-LIF-based method would be of interest in developing various screening systems for RNA interference in drug discovery.

Amino Acid Sequence↗
PubMed2006

Minimum sequence requirements for selective RNA-ligand binding: a molecular mechanics algorithm using molecular dynamics and free-energy techniques.

In vitro evolution techniques allow RNA molecules with unique functions to be developed. However, these techniques do not necessarily identify the simplest RNA structures for performing their functions. Determining the simplest RNA that binds to a particular ligand is currently limited to experimental protocols. Here, we introduce a molecular-mechanics based algorithm employing molecular dynamics simulations and free-energy methods to predict the minimum sequence requirements for selective ligand binding to RNA. The algorithm involves iteratively deleting nucleotides from an experimentally determined structure of an RNA-ligand complex, performing energy minimizations and molecular dynamics on each truncated structure, and assessing which truncations do not prohibit RNA binding to the ligand. The algorithm allows prediction of the effects of sequence modifications on RNA structural stability and ligand-binding energy. We have implemented the algorithm in the AMBER suite of programs, but it could be implemented in any molecular mechanics force field parameterized for nucleic acids. Test cases are presented to show the utility and accuracy of the methodology.

Algorithms↗
PubMed1975

Kinetics and mechanisms of drug action on microorganisms XXII: Effects of aminosidine with and without organism pretreatment with bacteriostatic agents.

Escherichia coli generation in the logarithmic growth phase was inhibited in peptone broth USP at pH 7.0 without kill below 3.0 mug/ml of aminosidine. Above this value, the logarithms of the number of viables of the drug-treated culture ultimately decreased linearly with time and the slopes of these plots were independent of concentration. A concentration-dependent lag in the time of attainment of the cidal action was observed, and the extent of this lag was related to the ease of emergence of resistant organisms. The minimal concentration for cidal action increased with increasing concentrations of nutrients and with decreasing pH. Pretreatment of the cultures with novobiocin and tetracycline lessened the minimum bactericidal concentration of aminosidine whereas chloramphenicol pretreatment increased it. Tetracycline pretreatment inhibited the emergence of aminosidine-resistant organisms.

Anti-Bacterial Agents↗
PubMed2004

The yeast rRNA biosynthesis factor Ebp2p is also required for efficient nuclear division.

Molecular genetic analysis of the yeast Ebp2 protein has revealed that it is an essential, nucleolar protein that functions in the rRNA biosynthesis pathway. Temperature-sensitive ebp2-1 mutants are defective in the processing of the 27 SA precursor rRNA, and the point substitutions that disrupt this activity cluster towards the central, more highly conserved region of the Ebp2 protein. We report here that other ebp2 mutants exhibit deficiencies associated with defects in chromosome segregation. Yeast cells bearing a 50 amino acid C-terminal truncation allele (ebp2 delta C50) display a slow-growth phenotype and exhibit an increased percentage of cells with the nucleus positioned at the bud neck. The ebp2-1 and ebp2 delta C50 alleles genetically complement each other, and ebp2 delta C50 mutants exhibit nuclear division defects that are distinct from the rRNA biosynthesis-related phenotypes of ebp2-1 mutants. Cytological and FACS analysis of the ebp2 delta C50 deletion mutants indicate that the chromosome segregation related activities of the Ebp2 protein are monitored by Mad2p, a mitotic checkpoint protein. The finding that yeast Ebp2p functions in nuclear division is consistent with the growing body of evidence that supports the role that human EBP2 plays in chromosome segregation.

Alleles↗