Kinetic parameters estimation in the polymerase chain reaction process using the genetic algorithm / Lanting Li in Industrial & engineering chemistry research, Vol. 51 N° 40 (Octobre 2012)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 51 N° 40 (Octobre 2012) . - pp. 13268-13273 Titre : Kinetic parameters estimation in the polymerase chain reaction process using the genetic algorithm Type de document : texte imprimé Auteurs : Lanting Li, Auteur ; Chao Wang, Auteur ; Bo Song, Auteur Année de publication : 2012 Article en page(s) : pp. 13268-13273 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Genetic algorithm Polymerase chain reaction Parameter estimationKinetic parameter Résumé : Analyzing the polymerase chain reaction (PCR) process by mathematical modelling is of importance in terms of uncovering the dynamic mechanism of PCR and predicting DNA amplification performance. Construction of an ideal PCR model, however, requires sufficient and accurate kinetic parameters, which cannot be easily obtained directly from experimental data. In this work, a genetic algorithm-based approach was introduced for optimizing kinetic parameters of PCR such as the rate constant of polymerase catalyst reaction. The fitted model agrees well with experimental data and predicts the DNA amplification yields as a function of cycle number. The kinetic parameters are not dependent on initial concentrations or the fragment types of DNA amplification. The model also allows us to predict the threshold cycle in real-time PCR, which is helpful for estimating the initial amount of DNA template and determining the optimal PCR reaction conditions. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26451477 [article] Kinetic parameters estimation in the polymerase chain reaction process using the genetic algorithm [texte imprimé] / Lanting Li, Auteur ; Chao Wang, Auteur ; Bo Song, Auteur . - 2012 . - pp. 13268-13273. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 40 (Octobre 2012) . - pp. 13268-13273 Mots-clés : Genetic algorithm Polymerase chain reaction Parameter estimationKinetic parameter Résumé : Analyzing the polymerase chain reaction (PCR) process by mathematical modelling is of importance in terms of uncovering the dynamic mechanism of PCR and predicting DNA amplification performance. Construction of an ideal PCR model, however, requires sufficient and accurate kinetic parameters, which cannot be easily obtained directly from experimental data. In this work, a genetic algorithm-based approach was introduced for optimizing kinetic parameters of PCR such as the rate constant of polymerase catalyst reaction. The fitted model agrees well with experimental data and predicts the DNA amplification yields as a function of cycle number. The kinetic parameters are not dependent on initial concentrations or the fragment types of DNA amplification. The model also allows us to predict the threshold cycle in real-time PCR, which is helpful for estimating the initial amount of DNA template and determining the optimal PCR reaction conditions. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26451477

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