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Thus the selective combinatorial approach, which is a restricted approach of combinatorial catalysis, can lead quickly to new catalytic results.
Here we present the first application of the binary patterning approach of combinatorial protein library design to the unique central linker region of the highly-conserved protein, calmodulin (CaM).
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Here, we report the approaches of combinatorial method and nanoscience for developing electrocatalsyts and electrolyte membranes.
The combination of random selection and evolutionary strategies with the high-throughput approaches of combinatorial chemistry is demonstrated for the discovery of new heterogeneous catalysts.
The agent-based and rule-based approach permits consideration of combinatorial complexity, a problem associated with multiple phosphorylation sites and the potential for simultaneous binding of adaptors.
Diversity-oriented approaches make use of combinatorial chemistry and high-throughput screenings to enrich the spectral and structural variety of these probes and effectively identify those with specific properties (e.g. molecular affinity, cellular selectivity, high photostability, and sensitivity).
In the early nineties, when the Ant Colony algorithm was first proposed, it was used as an alternative approach for the solution of combinatorial optimization problems, such as the traveling salesman problem.
We used a rational design approach based on analysis of combinatorial peptide mixtures and focused compound libraries to develop novel peptide hydroxamic acid inhibitors of IDE.
This type of combinatorial approach along with the idea that both latency activators and protease inhibitors will be delivered by the same vehicle may be used to enhance HIV latency purging strategies in vivo.
In our review [ 8] we described several procedures to find a nearly optimal ranking using approach from the field of combinatorial optimization.
As dynamic TF-binding data accumulate, the power of this type of combinatorial approach will increase, as demonstrated in Drosophila, where binding patterns of several TFs over successive developmental stages are predictive of spatiotemporal expression (Zinzen et al., 2009).
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