IMMUNOLOGY2026™ Conference Recordings For Attendees-Evaluating AlphaFold 3 immune complex structure prediction and cryo-EM analysis of broadly neutralizing antibodies towards influenza hemagglutinin

Evaluating AlphaFold 3 immune complex structure prediction and cryo-EM analysis of broadly neutralizing antibodies towards influenza hemagglutinin

Back to course

Video Transcription

Video Summary

The talks focused on influenza research using computational and experimental tools. The first speaker studied whether AlphaFold3 can predict immune complex structures for broadly neutralizing antibodies against influenza hemagglutinin, especially the conserved stem region. By screening human donor B-cell receptor sequences and using AlphaFold3 confidence metrics, the team prioritized antibodies for testing. Compared with no computational filtering, AlphaFold3-guided selection greatly improved binding hit rates. Negative-stain EM confirmed that predicted epitopes matched experimental structures, and cryo-EM showed close agreement between AlphaFold3 and a solved antibody-HA complex.  <br /><br />The second talk examined why influenza infections vary so much between individuals. Using human challenge data and a mathematical model of viral replication and CD8 T-cell responses, the team found that different people can have similar underlying host-pathogen interaction patterns even when their measured trajectories look distinct. Major sources of heterogeneity included infection dose, viral infectivity, and CD8 T-cell expansion rate.

Meta Tag

Date April 19, 2026 9:05 AM - 9:18 AM

Room 102

Session Development of Statistical, Machine Learning, and Genetic Models

Speaker Morgan Gee

Track Computational and Systems Immunology (COMP)

Year 2026

Keywords

influenza research

AlphaFold3

broadly neutralizing antibodies

hemagglutinin stem

immune complex structures

CD8 T-cell responses

April 19, 2026 9:05 AM - 9:18 AM

102

Development of Statistical, Machine Learning, and Genetic Models

Morgan Gee

Computational and Systems Immunology (COMP)

2026