PhD Defense by Mojdeh Faraji

Event Details
  • Date/Time:
    • Tuesday March 13, 2018 - Wednesday March 14, 2018
      1:00 pm - 2:59 pm
  • Location: room 3029, EBB
  • Phone:
  • URL:
  • Email:
  • Fee(s):
  • Extras:
No contact information submitted.

Summary Sentence: From Experimental Observations to a Functional Model of the Lignin Pathway: Computational Modeling Reveals New Insights.

Full Summary: No summary paragraph submitted.

Mojdeh Faraji

BioE Ph.D. Defense Presentation


Date & Time: Tuesday, March 13, 2018, 1:00 pm

Location: room 3029, EBB


Advisor: Eberhard O. Voit, Ph.D. (Georgia Institute of Technology)



Andreas Bommarius, Ph.D. (Georgia Institute of Technology)

Michael Leamy, Ph.D. (Georgia Institute of Technology)

Pamela Peralta-Yahya, Ph.D. (Georgia Institute of Technology)

Peng Qiu, Ph.D. (Georgia Institute of Technology)


From Experimental Observations to a Functional Model of the Lignin Pathway: Computational Modeling Reveals New Insights.


Lignin is a natural polymer that is interwoven with cellulose and hemicellulose within plant cell walls. Due to this molecular arrangement, lignin is a major contributor to the recalcitrance of plant materials with respect to the extraction of sugars and their fermentation into ethanol, butanol, and other potential bioenergy crops. The lignin biosynthetic pathway is similar, but not identical in different plant species. It is in each case comprised of a moderate number of enzymatic steps, but its responses to manipulations, such as gene knock-downs, are complicated by the fact that several of the key enzymes are involved in several reaction steps. This feature poses a challenge to bioenergy production, as it renders it difficult to select the most promising combinations of genetic manipulations for the optimization of lignin composition and amount. Moreover, species specific regulatory features and distinct spatial and topological characteristics hinder accuracy of a unified lignin pathway model. In this dissertation a systems biology approach is used to address these challenges by means of computational modeling. Novel mathematical techniques are employed on different types of experimental data in situ, and shed light on complexities of lignin biosynthesis pathway. The developed methods are nevertheless general enough to be used in a wide range of metabolic modeling applications.



Stay up to date on all BioE proposals & defenses!

View & subscribe to the BGA calendars

Additional Information

In Campus Calendar

Graduate Studies

Invited Audience
Faculty/Staff, Public, Graduate students
Phd Defense
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Feb 27, 2018 - 2:56pm
  • Last Updated: Feb 27, 2018 - 2:56pm