Schneidman lab @ HUJI

Schneidman lab

Integrative structure modeling @ Hebrew University of Jerusalem
School of Computer Science and Engineering
Dina

Dina Schneidman

Associate professor

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, including antibody-antigen and peptide-MHC-TCR systems
  • Deep learning methods for protein structure modeling, specificity, and design
  • Small angle x-ray scattering (SAXS)
  • Crosslinking mass spectrometry
Merav

Merav Braitbard

PhD student

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

  • Integrative structure modeling of RSC assembly
  • Specificity of peptide-SH3 interactions
  • Modeling large macromolecular complexes with crosslinking mass spectrometry datasets
Tomer

Tomer Cohen

PhD student

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

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

Ben Shor

PhD student

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

  • Assembly of large macromolecular complexes
combfold
Gal

Gal Passi

MSc student

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

  • Interpreting cancer mutations with deep learning models
Tanya

Tanya Hochner

MSc student

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

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

Alon Aronson

MSc student

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

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

Meitar Sela

MSc student

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

Deep learning models for predicting rhodopsin spectra maxima
Adi

Adi Weshler

PhD student (joint with Prof. Michal Linial)

{at} mail.huji.ac.il

Amir

Amir Weinfeld

MSc student (joint with Prof. Jérôme Tubiana)

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

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

Danielle Zaccai

Computational Biology project

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

Upresolution of single molecule data

Alumni

Jerome

Jerome Tubiana

Postdoc (Joint with Prof. Haim Wolfson), now TAU faculty

jertubiana {at} gmail

  • Prediction of protein binding sites
  • Antibody epitope prediction
  • Protein design
  • Development of novel deep learning architectures for protein structures
combfold
Edan

Edan Patt

MSc student

edan.patt {at} mail.huji.ac.il

  • Prediction of magnesium sites in RNA structures
  • Modeling RNA dynamics with SAXS profiles
Matan

Matan Halfon

MSc student

matan.halfon {at} mail.huji.ac.il

Scoring functions for protein-protein docking.
Shon

Shon Cohen

MSc student

shon.cohen {at} mail.huji.ac.il

Scoring functions for cross-linking MS data.
Nurit

Nurit Meyer

MSc student

nurit.meyer {at} mail.huji.ac.il

Modeling Hsp33-substrate interactions
Amichai

Amichai Holzer

MSc student

amichai.holzer {at} mail.huji.ac.il

Amichai is developing a method for fitting structural fragments into cryo EM density maps. hks
A surface mesh of the density map of mu opioid receptor-gi protein complex (EMDB:7868) colored by Heat Kernel Signature.

Lirane Bitton

MSc student

lirane.bitton {at} mail.huji.ac.il

mhc
End-to-end deep learning of 3D structures for prediction of HLA class II epitopes.
Classification of nanobodies by affinity using machine learning.