Ph.D. Proposal presentation by Mojdeh Faraji

Event Details
  • Date/Time:
    • Monday March 2, 2015
      1:30 pm - 3:30 pm
  • Location: MSE 3201a
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Summary Sentence: Computational Inference of the Structure and Regulation of the Lignin Pathway in Panicum virgatum

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Mojdeh Faraji

PhD Proposal Presentation

Date: Monday, March 2, 2015

Time: 2:30 pm

Location: MSE 3201a

 

Advisor: Eberhard O. Voit, Ph.D.

Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology

 

Committee Members:

 

Andreas S. Bommarius, Ph.D.

School of Chemical and Biomolecular Engineering, Georgia Institute of Technology

 

Michael J. Leamy, Ph.D.

The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology

 

Pamela Peralta-Yahya, Ph.D.

School of Chemical and Biomolecular Engineering, Georgia Institute of Technology

 

Peng Qiu, Ph.D.

Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology

 

Title: Computational Inference of the Structure and Regulation of the Lignin Pathway in Panicum virgatum

 

Abstract: Switchgrass is a prime target for biofuel production from inedible plant parts and has been the subject of numerous investigations in recent years. Yet, one of the main obstacles to effective biofuel production remains to be the major problem of recalcitrance. Recalcitrance emerges in part from the 3-D structure of lignin as a polymer in the secondary cell wall. Lignin limits accessibility of the sugars in the cellulose and hemicellulose polymers to enzymes and ultimately decreases ethanol yield. Monolignols, the building blocks of lignin polymers, are synthesized in the cytosol and translocated to the plant cell wall, where they undergo polymerization. The biosynthetic pathway leading to monolignols in switchgrass is not completely known, and difficulties associated with in vivo measurements of these intermediates pose a challenge for a true understanding of the functioning of the pathway. The proposed work aims to apply a systems biological modeling approach to address this challenge.

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Graduate Studies

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Keywords
Bioengineering graduate students, graduate students, PhD
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  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Feb 16, 2015 - 8:01am
  • Last Updated: Oct 7, 2016 - 9:47pm