Nucleic Add Research

Welsh, J. and McClelland, M. (1990) Fingerprinting genomes using PCR with arbitrary primers. Nucleic Adds Research 18, 7213-7218. 

Fujiwara, H. and Ishikawa, H. (1987) Structure of the Bombyx mori rDNA initiation site for its transcription. Nucleic Adds Research 15, 1245-1258. 

Balasubramanian, S., T. Schneider, M. Gerstein, and L. Regan. 2000. Proteomics of Mycoplasma genitaliumi Identification and characterization of unannotated and atypical proteins in a small model genome. Nucleic Adds Research 28 3075—3082 and references therein. 

Sherman, D. J., Martin, T., Nikolski, M., Cayla, C., Souciet, J.-L., Durrens, P. (2009). Genolevures protein families and synteny among hemiascomycetous yeast proteomes and genomes. Nucleic Adds Research, 37, D550-D554. 

Hutchison, Clyde A., III. DNA Sequencing Bench to Bedside and Beyond. Nucleic Adds Research 35, no. 18 (August, 2007) 6227-6237. Reviews the history and development of DNA sequencing from the discovery of the structure of DNA to modern times. 

BERG, PAUL (1926-). An American molecular biologist who won the Nobel prize for chemistry in 1980 with Frederick Sanger and Walter Gilbert. Berg s research concerned the biochemistry of nucleic add, particularly regarding recombinant DNA, that is combining a molecule DNA s from different species. His Doctorate was attained at Western Reserve, and later he performed research at Stanford University. 

Investigations on the working mechanism of cisplatin have been carried out during the last decade by a variety of research groups, involving chemists, biochemists, biologists and medical researchers17. Early studies already made it clear that reaction of platinum compounds with nucleic adds play an important role in the mechanism of action. The present review deals with the status of this field, with special attention to platinum-DNA interactions. 

Computer-assisted molecular modeling has rapidly become a vital component of biochemical research. Mechanisms of ligand-receptor and enzyme-substrate interactions, protein folding, protein-protein and protein-nucleic add recognition and de novo protein engineering are a few examples of problems that may be addressed and facilitated by this technology. 

In comparison to nucleic add or peptide chemistry, the chemistry of carbohydrates remains relatively difficult and challenging. In this context, the direct polymerization of monomers bearing monosaccharide or oligosaccharide moieties is a very convenient method for preparing sugar-based macromolecules. This particular aspect has been comprehensively described in an excellent recent review of Ladmiral et Thus, the following section presents only a concise overview of this field of research and highlights principally recent examples. 

What are enzymes in micelles good for From the previous pages, it is apparent that these systems may elicit curiosity in the chemist. Changes in conformation and activity of enzymes with respect to aqueous solution, the anomalous structure of water in the water pool and its relation to enzyme activity, the conceptual problems of the local pH and the local concentration, and, generally speaking, the picture of the reverse micelle as a peculiar microreactor where enzymatic and nucleic add reactions can take place in novel ways - all of this presents a fascinating research enterprise. 

A wide variety of biological macromolecules, particularly proteins and nucleic adds, have become the subject of intense biochemical and research interest. The separation and purification of these macromolecules is of primary importance in any study and should also form the basis for subsequent preparative-scale separations. 

At an initial HUPO-PSI-sponsored meeting of this group it was decided that the approach to designing such a format should be multilayered, with Level 1 designed to fulfil basic requirements and be suitable for rapid implementahon. Subsequent levels will supply further complexity and flexibility, for example the ability to deal with other interactors such as nucleic acids. Wherever possible, the potential values of attributes in the data model are defined by controlled vocabularies researchers may also ascribe confidence levels to the data at various points throughout the data entry process and add free comments in appropriate places. 

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