Dina Schneidman

dina.schneidman {at} mail.huji.ac.il

• Integrative structure modeling of protein-protein interactions and large macromolecular assemblies
• Structure modeling and design of adaptive immune response interactions
• Deep learning methods for protein structure modeling, specificity, and design
• Small angle x-ray scattering (SAXS) and Crosslinking mass spectrometry

Merav Braitbard

merav.braitbard {at} mail.huji.ac.il

• Integrative structure modeling of RSC assembly
• Specificity of peptide-SH3 interactions
• Modeling large macromolecular complexes with XLMS datasets

Tomer Cohen

tomer.cohen13 {at} mail.huji.ac.il

• Methods for nanobody/antibody modeling by deep learning
• Antibody-antigen structure prediction and design

Ben Shor

ben.shor {at} mail.huji.ac.il

• Assembly of large macromolecular complexes

Gal Passi

gal.passi {at} mail.huji.ac.il

• Interpreting cancer mutations with deep learning models

Tanya Hochner

tanya.hochner {at} mail.huji.ac.il

Deep learning models for predicting structure and specificity of peptide-MHC-TCR systems

Alon Aronson

alon.aronson {at} mail.huji.ac.il

Deep learning models for predicting structure and specificity of peptide-MHC-TCR systems

Meitar Sela

meitar.sela {at} mail.huji.ac.il

Deep learning models for predicting rhodopsin spectra maxima

Adi Weshler

{at} mail.huji.ac.il

Amir Weinfeld

amir.weinfeld {at} mail.huji.ac.il

• Predicting peptide-SH3 specificity with deep learning
• Predicting anti-drug-antibody (ADA) potential

Danielle Zaccai

danielle.zaccai {at} mail.huji.ac.il

Upresolution of single molecule data