PubMed Health⌕ Search

PubMed · 15638483

"Single sample concept": theoretical model for a combinatorial approach to solid-state inorganic materials.

Abstract

A theoretical model for a "single sample concept" (SSC) applied to the combinatorial chemistry of solid-state inorganic compounds is presented. The SSC is performed by reacting N starting materials (randomly mixed) in a single sample of approximately 1 cm(3). Combinatorial calculations demonstrate that the number of reasonably estimated phases to be found in the space of N components grouped into compounds (e.g. oxides, sulfides, or halogenides) containing up to q < or = 6 metallic elements is smaller than combinations set up by starting conditions for local reactions within the bulk of a single ceramic sample. Recently, the SSC proved to work in the case of synthesizing libraries of 3d metal oxides, from which magnetic particulate matter was extracted by a magnetic separation technique. The SSC may be applied in a first screening cycle followed by 2D approaches of combinatorial chemistry.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Jürg Hulliger, Muhammad Aslam Awan. "Single sample concept": theoretical model for a combinatorial approach to solid-state inorganic materials.. https://doi.org/10.1021/cc049884z

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

New solid support for the synthesis of 3'-oligonucleotide conjugates through glyoxylic oxime bond formation.

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].

Combinatorial Chemistry Techniques↗

Chemical genetics: an evolving toolbox for target identification and lead optimization.

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.

Combinatorial Chemistry Techniques↗

Protein library design and screening: working out the probabilities.

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.

Combinatorial Chemistry Techniques↗