Joint CBQB-Evolutionary biology mini Symposium Monday 15.12, 12:00 - 14:00
@Sfadia auditorium, Multi purpose building. University of Haifa
How can new AI-based structural methods transform old(er) biological challenges?
Speaker
Question and Topic
12:15-12:45 – Prof. Mickey Kosloff
Section of Human Biology, School of Life Sciences, University of Haifa
Can Alphafold enable more accurate and efficient biological discoveries?
Lecture and discussion – abstract linked in title
12:45 -13:15 – Prof. Dina Schneidman
School of Computer Science and Engineering, Hebrew University of Jerusalem
Can Deep Learning Enable Accurate Antibody-Antigen Structure Prediction and Design?
Lecture and discussions – abstract linked in title
13:15 – 13:35 Lunch – mingling and pizza
13:35 – 14:00: Discussion: Response by the speakers (5 minute each) and discussion: What are limitations and advantages of AI assisted protein structure research and what does it tell us about the limits of what we know about protein structure.
Background Materials
- Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).
- Background page for Alpha fold on the Nobel Chemistry prize webpage.
- Bakhman, A. F., Cohen, M., Kolodny, R. & Kosloff, M. Structure-based mechanistic principles underlying the paradoxical effects of pathological RET mutations. bioRxiv (2025).
- Higazy-Mreih, S., Avital-Shacham, M., LeGouill, C., Bouvier, M. & Kosloff, M. Gαs-specific structural elements attenuate interactions with regulator of G protein signaling (RGS) proteins. The FEBS Journal (2025).
