Partition coefficient prediction of Baker's yeast invertase in aqueous two phase systems using hybrid group method data handling neural network

A hybrid GMDH neural network model has been developed in order to predict the partition coefficients of invertase from Baker's yeast. ATPS experiments were carried out changing the molar average mass of PEG (1500–6000 Da), pH (4.0–7.0), percentage of PEG (10.0–20.0 w/w), percentage of MgSO4 (...

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Main Authors: Souza, Domingos Fabiano de Santana, Padilha, Carlos Eduardo de Araújo, Oliveira Júnior, Sérgio Dantas de, Oliveira, Jackson Araújo de, Macedo, Gorete Ribeiro de, Santos, Everaldo Silvino dos
Format: article
Language:English
Published: Elsevier
Subjects:
Partitioning
Invertase
Aqueous two phase system
GMDH
Online Access:https://repositorio.ufrn.br/handle/123456789/45191
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https://repositorio.ufrn.br/handle/123456789/45191

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