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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Main Authors: Chia-Chi Chao, 趙佳琪
Other Authors: Chi-Kan Chen
Format: Others
Language:en_US
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/87782939272944412061
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spelling 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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description 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.
author2 Chi-Kan Chen
author_facet Chi-Kan Chen
Chia-Chi Chao
趙佳琪
author Chia-Chi Chao
趙佳琪
spellingShingle Chia-Chi Chao
趙佳琪
Complex SELEX: Stochastic Modeling, Simulation and Analysis
author_sort 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
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AT zhàojiāqí fùshìselexsuíjīmóshìmónǐjífēnxī
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