Recent News
Computer Science Colloquium will discuss strategies for sustainable AI data centers
March 10, 2025
Dissertation defense: Alyshia Bustos
March 5, 2025
Computer Science undergraduate honored for cybersecurity research
February 20, 2025
Associate Professor Matt Lakin wins PECASE Award
January 31, 2025
News Archives
Ph.D Poster Presentation at The American Indian and Engineering Society National Conference Winner
December 10, 2014
Congratulation to Kasra Manavi who won top prize Ph.D. Poster Presentation and Best Overall Presentation (Ph.D) at the American Indian Science and Engineering Society National Conference.
The poster presented was:
Simulation and Analysis of Antibody Aggregation
Kasra Manavi, Alan Kuntz and Lydia Tapia
Department of Computer Science, University of New Mexico
It is estimated than up to 40% of the world's population suffers from allergies. A primary mediator for allergies is the aggregation of antigens and IgE antibodies bound to cell surface receptor FceRI. Antibody/antigen aggregate formation causes stimulation of mast cells and basophils, initiating degranulation and releasing immune mediators that produce an allergic response. Understanding the shape and structure of aggregates can provide critical insights into allergic response. We have developed methods to geometrically model, simulate and analyze antibody aggregation that are inspired by rigid body robotic motion simulations. Our method is based on 3D models of allergens and IgE-FceRI complexes and simulates the aggregation process using biological constraints. Our technique can handle the large size and number of molecules involved in aggregation, providing an advantage over traditional simulations such as molecular dynamics and coarse grained energetic models. We simulated a variety of antigens and focused our analysis on binding probability and correlations resulting from steric hindrances. We are currently working on comparing those results to experimental data. We are able to show that the model is well suited to study real world allergen/receptor aggregate structures. The use of 3D geometry allows us to simulate a vast array of allergen structures and include relevant structural data, increasing the accuracy of our simulation.