Selection, combinatorial

Gareiss, P. C. Sobczak, K. McNaughton, B. R. Thornton, C. A. Miller, B. L. Dynamic combinatorial selection of small molecules capable of inhibiting the (CUG) repeat RNA-MBNLl interaction in vitro Discovery of lead compounds targeting myotonic dystrophy (DM1). J. Am. Chem. Soc., 2008, 130, 16524-16261. 

Figure 3.24 Dynamic combinatorial selection of DNA nanostructure (Aldaye and Sleiman).

King, D.J., Ventura, D.A., Brasier, A.R. and Gorenstein, D.G. (1998) Novel combinatorial selection of phosphorothioate oligonucleotide aptamers. Biochemistry, 37,16489-16493. 

Wyatt, J.R., Vickers, T.A., Roberson, J.L., Buckheit, R.W.J., Klimkait, T., DeBaets, E. et al. (1994) Combinatorially selected guanosine-quartet structure is a potent inhibitor of human immunodeficiency virus envelope-mediated cell fusion. Proc. Natl. Acad. Sci. USA, 91, 1356-1360. 

Homann M, Goringer H, Combinatorial selection of high affinity RNA ligands to live African trypanosomes, Nucleic Acids Res., 27 2006-2014, 1999. 

Katayev EA, Pantos GD, Reshetova MD et al (2005) Anion-induced synthesis and combinatorial selection of polypyrrolic macrocycles. Angew Chem Int Ed 44 7386-7390... 

J.A. Schouten, S. Ladame, S.J. Mason, M.A. Cooper and S. Balasubra-manian, G-quadruplex-specific peptide-hemicyanine ligands by partial combinatorial selection, J. Am. Chem. Soc., 2003, 125, 5594-5595. 

Parker MJ, Aulton-Jones M, Hounslow AM, Craven CJ (2004) A combinatorial selective labeling method for the assignment of backbone amide NMR resonances. J Am Chem Soc 126 5020-5021... 

D. Wolf, O. V. Buyevskaya and M. Baems, An Evolutionary Approach in the combinatorial Selection and Optimization of Catalytic Materials, Catalysis Today, submitted (2000). 

Combinatorial Selections of Catalysts from Nucleic Acid Libraries 381... 

For the combinatorial selection of RNA (or DNA)-transition-metal catalysts, further elements have to be developed and integrated into the scheme (Figure 18.3). In addition to a tethered substrate, a site-specifically attached transition metal ligand needs to be present in each molecule of the hbrary. After loading with the metal, it should allow formation of the catalytically active species, preferably with the reactant tethered to the same RNA molecule. The other reactant carries a purification tag, allowing the selective isolation of only those species in which a reaction had taken place. A further nontrivial requirement is that the attachment of the metal-hgand complex to DNA or RNA does not interfere with the enzymatic copying steps (transcription, reverse transcription (RT), polymerase chain reaction (PCR)). 

Wolf, D., Buyevskaya, O.V. and Baems, M. (2000). An evolutionary approach in the combinatorial selection and optimization of catalytic materials, Appl. Catal, A General, 200, 63-11. 

One final note is that it is imperative to be mindful of the experimental constraints imposed in combinatorial synthesis, such that reagents are available for selection even though it is the properties of the products that are necessary to form focused libraries. This is really no different from the case of diversity design, where it has been shown that the most diverse reagents do not yield the most diverse products product diversity must be accounted for to indeed select the most diverse library members. Currently few methods have been implemented that employ true combinatorial selection where... 

The previously mentioned quantities are completely general, and their importance holds for any kind of sensor. For chemical sensors an additional parameter of great importance is the selectivity. The selectivity defines the capability of a sensor to be sensitive only to one quantity rejecting all the others. In case of physical sensors, the number of quantities is limited to a dozen and the selectivity can be achieved in many practical applications. For chemical sensors, it is important to consider that the number of chemical compounds is of millions and that the structural differences among them may be extremely subtle. With these conditions the selectivity of chemical sensor can be obtained only in very limited conditions. Lack of selectivity means that the sensor responds with comparable intensity to different species and with such a sensor it is not possible to deduce any reliable information about the chemical composition of the measured sample. Selectivity is a straightforward requisite for analytical systems where sensors and its related measurement technique are addressed to the detection of individual compounds. As mentioned in the previous section, selectivity is not found in olfactory receptors. As a consequence, artificial olfaction systems are not based on individual selective sensors, but on sensors whose selectivity can be oriented towards molecular families, or better, towards interaction mechanisms. Figure 22.5 shows a typical selectivity map related to an array of quartz microbalances (see next section) coated with different metalloporphyrins based on the same macrocycle (tetraphenyl-porphyrin) but with different metal atoms. Figure 22.5 depicts well the concept of combinatorial selectivity, namely each compounds is identified by a unique sensitivity pattern that makes possible the identification. 

---