@NCState

Comparative Biomedical Sciences

Lecture: CBS810-C Cell Biology Seminar Series (April 2018)
Studying lipid regulation of ion channels using molecular simulation 
This lecture for cell biology graduate students focussed on how and why one would use a computational approach to address a question about membrane proteins.  Strengths and limitations of both empirical and computational approaches were addressed. Discussion also highlighted how computational models can point to novel hypotheses that suggest alternative experimental strategies and when it might be appropriate to approach a modeller about designing integrative research approaches.

Lecture: CBS787 Pharmacokinetics (Nov 2017)
Physiologically-based pharmacokinetic modeling: Case studies
This lecture for pharmacology graduate students addressed the ‘nuts & bolts’ of physiologically based pharmacokinetic & pharmacodynamic models. Emphasis was placed on: (1) under what circumstances one would adopt a PBPK approach rather than a simpler PK model; (2) how such models can be used to predict physiological outcomes; and (3) what decisions must be made to tailor the model’s structure to the compound in question. Further discussion touched on parameterization and the question of modeling inter-individul variability. All concepts were conveyed via research case studies originating from the EMRLab.

Lecture: CBS800 CBS Seminar Series (Oct 2016)
Math + Biochemistry + Physiology: An examination of toxicity and lipid-mediated toxicity reversal using integrative physiological models
This lecture for new students in the Comparative Biomedical Sciences graduate program addressed Dr Akpa’s career path from a foundation in chemical engineering to a research program in systems biomedicine.  Discussion focussed on the unique role her computational approaches played in explaining the mechanisms underlying lipid emulsion therapy for anesthetic overdose.

Electrical & Computer Engineering

Co-instructor: ECE492/592 & PB495/595 Systems Biology Modeling of Multicellular Organisms (Fall 2018)
The aim of this course is to provide an introduction to the field of systems biology with a focus on mathematical modeling. Students will learn approaches that are used to integrate biological data with mathematical, statistical, and computational approaches in order to gain insights into structure and behavior of complex cellular systems.

Guest lecture: ECE492/592 & PB495/595 Systems Biology Modeling of Plant Regulation (Nov 2017)