Neural Network Modeling in Dithiothreitol Reduction and Ion Treatment of Recombinant Human Insulin Obtained from the Circular Dichroism (CD) Spectral Information

Soroush, Sardari; Saeed, Soltani

Neural Network Modeling in Dithiothreitol Reduction and Ion Treatment of Recombinant Human Insulin Obtained from the Circular Dichroism (CD) Spectral Information

Sardari Soroush^*, Soltani Saeed

Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute, #69 Pasteur Ave., Tehran, 13164, Iran

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Identifiers and Pagination:

Year: 2009
Volume: 3
First Page: 1
Last Page: 7
Publisher ID: TOBIOIJ-3-1
DOI: 10.2174/1875036200903010001

Article History:

Received Date: 26/08/2008
Revision Received Date: 17/11/2008
Acceptance Date: 18/11/2008
Electronic publication date: 18/02/2009
Collection year: 2009

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© 2009 Sardari and Soltani

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

^* Address correspondence to this author at the Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute, #69 Pasteur Ave., Tehran, 13164, Iran; Tel: (98-21) 6640-5535; Fax: (98-21) 6646- 5132; E-mail: sardari@pasteur.ac.ir, ssardari@hotmail.com

In this study, induced changes in the secondary structure of the human insulin were carried out by addition of various reagents causing modification in the disulfide bond such as dithiothreitol (DTT) three dimensional structure of insulin. CD spectra were taken accordingly and the spectra recorded. There are methods to predict and estimate spectral changes of a peptide molecule, however there is no method to process CD spectral data and correlate them with that of inducing factor. Artificial intelligence backpropagation algorithm, as a strong model building tool was used here for prediction and data mining. Therefore, artificial neural network (ANN) methodology was used to build a model to study the effect of selected biochemical factors in the downstream process of a recombinant peptide.

Keywords: Recombinant human insulin, Dithiothreitol reduction, Artificial intelligence, Circular dichroism, Downstream processing.

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RESEARCH ARTICLE

Neural Network Modeling in Dithiothreitol Reduction and Ion Treatment of Recombinant Human Insulin Obtained from the Circular Dichroism (CD) Spectral Information

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