Dr. Deepa Gopakumar O. S. currently serves as Associate Professor in the Department of Mathematics, School of Engineering, Coimbatore. Her areas of research include Statistical Quality Control, Statistical Methods in Bio Informatics.


Publication Type: Journal Article
Year of Publication Publication Type Title
2015 Journal Article Deepa O. S., “Application of Acceptance Sampling Plan in Green Design and Manufacturing ”, International Journal of Applied Engineering Research , vol. 10, 2015.
2015 Journal Article Deepa O. S., “Optimal Production Policy for the Design of Green Supply Chain Model ”, International Journal of Applied Engineering Research, vol. 10, 2015.
2015 Journal Article Deepa O. S., Nallamalli, S., L. Naik, N. Singh, and Teja, G. Venkata Sa, “Mathematical Model for Transmission of Ebola Virus”, Procedia Computer Science, vol. 48, 2015.
2013 Journal Article Deepa O. S., “Analysis of chain sampling plan for exponential family ”, Mathematical Sciences International Research Journal, 2013.
2011 Journal Article K. U. Radhagayathri, Namboori, P. K. Krishnan, Mohandas, V. P., Subeesh, T., Deepa O. S., and Ramachandran, K. I., “Computational modeling and simulation of nanomolecular switch for Alzheimer's disease (A gene silencing technique)”, International Journal of Nanoscience, vol. 10, pp. 319-322, 2011.[Abstract]

The design of artificial gene regulatory networks has paved way for the construction of therapeutic gene circuits that would find application in next generation gene therapy approaches. The main challenge in such designs is in selecting the appropriate genetic components to make up the circuit in order to produce the anticipated or desired behavior. To eliminate this complexity, computational simulation tools are used to guide circuit design. This involves selection and genetic modification of components, until the required system behavior is achieved. In this work, we have designed a model for a synthetic nanogene network. The gene expression involved in diseases caused by mutation, like cancer, Alzheimer's disease (AD), etc., can be effectively controlled by "Nanogene silencing genetic switch". Here, we have considered the case of Alzheimer's disease. Genes that are responsible for genetic AD are APP, PSEN1, and PSEN2. Antimutagenic study of phytochemicals has been carried out with the common AD causing APP gene mutation. By our computational analysis, phytochemicals like curcumin, eugenol, and limonene have been identified as "molecular switch" devices to prevent mutation of AD gene. All these chemicals are found to be strongly interacted with the AD gene without making changes to the remaining part of the sequence. Among the analyzed chemicals, curcumin is found to be most interacting with AD gene protecting it from mutation. Hence, inclusion of curcumin-containing food items in our menu would prevent Alzheimer's disease to a large extent. This technique is a type of gene therapy leading to silencing of the mutated part of the gene and preventing mutation. © 2011 World Scientific Publishing Company.

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Publication Type: Conference Paper
Year of Publication Publication Type Title
2014 Conference Paper Deepa O. S., “Selection of Sampling plans with double binomial as prior distribution”, in International conference on Mathematical Science , 2014.
2009 Conference Paper V. K Gopal, Premkumar, P., Krishnan, N. P. K., B, S. Narayanan, and Deepa O. S., “In-Silico Modeling and Simulation of Magnetic Nanoparticles for the Biological Cell Isolation Technique”, in International Conference on Artificial Neural Networks (ICANN), IIT, Guwahati, 2009.
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