Abstract
Systematic Evolution of Ligands by EXponential enrichment (SELEX) is an important technology in molecular biology of developing aptamers from highly complex nucleic acid library by iterative extraction and amplification of target-bound ligands. Recent advances in biological study and drug discovery have promoted the experiment to a higher level by simultaneously targeting the nucleic acid library with multiple targets: the complex SELEX. To gain insights of the experiment, we develop probabilistic model and simulation algorithm to investigate the dynamics of huge ligand population in the complex SELEX process. Our simulations have discovered aspects of complex SELEX not captured by early mean field models. We suggest that stochastic effects may prevent the library from converging to final states of evolution even in long rounds of screening. Our computation method can also be used to address problems in other research fields where the evolution of huge population is driven by the presence of some competitive members.
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