Complex SELEX: Stochastic Modeling, Simulation and Analysis
碩士 === 國立中興大學 === 應用數學系所 === 94 === 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...
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ndltd-TW-094NCHU55070232016-05-25T04:15:05Z http://ndltd.ncl.edu.tw/handle/87782939272944412061 Complex SELEX: Stochastic Modeling, Simulation and Analysis 複式SELEX:隨機模式,模擬,及分析 Chia-Chi Chao 趙佳琪 碩士 國立中興大學 應用數學系所 94 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. Chi-Kan Chen 陳齊康 2006 學位論文 ; thesis 26 en_US |
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碩士 === 國立中興大學 === 應用數學系所 === 94 === 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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Chi-Kan Chen |
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Chi-Kan Chen Chia-Chi Chao 趙佳琪 |
author |
Chia-Chi Chao 趙佳琪 |
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Chia-Chi Chao 趙佳琪 Complex SELEX: Stochastic Modeling, Simulation and Analysis |
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Chia-Chi Chao |
title |
Complex SELEX: Stochastic Modeling, Simulation and Analysis |
title_short |
Complex SELEX: Stochastic Modeling, Simulation and Analysis |
title_full |
Complex SELEX: Stochastic Modeling, Simulation and Analysis |
title_fullStr |
Complex SELEX: Stochastic Modeling, Simulation and Analysis |
title_full_unstemmed |
Complex SELEX: Stochastic Modeling, Simulation and Analysis |
title_sort |
complex selex: stochastic modeling, simulation and analysis |
publishDate |
2006 |
url |
http://ndltd.ncl.edu.tw/handle/87782939272944412061 |
work_keys_str_mv |
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1718281548666503168 |