PubMed · 12357932
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Alex M Aronov. 2002. Design of virtual combinatorial libraries.. https://doi.org/10.1385/1-59259-285-6%3A267
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A novel solid support 1 was synthesized to incorporate glyoxylic aldehyde functionality at the oligonucleotide 3'-terminus. 6-mer and 11-mer oligonucleotide sequences containing 3'-glyoxylic aldehyde functionality were prepared by using this support. These modified oligonucleotides were coupled to reporters containing an aminooxy group to prepare oligonucleotide 3'-conjugates through glyoxylic oxime bond formation. The hydrolytic stability of a glyoxylic oxime linkage was also investigated. [reaction: see text].
Chemical genetics combines chemistry with biology as a means of exploring the function of unknown proteins or identifying the proteins responsible for a particular phenotype. Chemical genetics is thus a valuable tool in the identification of novel drug targets. This chapter describes the application of chemical genetics in traditional and systems-based approaches to drug target discovery and the tools/approaches that appear most promising for guiding future pharmaceutical development.
In designing protein libraries for selection, we must coordinate our capacity to create a large diversity of protein variants with the physical limitations of what we can actually screen. This chapter aims to bring the language of probabilities into the protein engineer's laboratory to answer some of our common questions: How can we most efficiently design a library? What fraction of the theoretical library diversity have we actually sampled at the end of the day? What is the probability of missing an individual of the library? Are the mutations present in the variants we have selected statistically meaningful or the product of random variation? The computation of these criteria throughout the process of experimental protein engineering will enable us to better design and evaluate the products of our libraries of protein variants.