Structural and Computational Biology

ResearcherResearch Focus
Prof. Efroni Sol
  1. The T-cell Repertoire
  2. Single-cell RNA sequencing
  3. Networks in Cancer Genomics
  4. Predicting drug response through cancer genomics
Prof. Levanon Erez
  1. Computational genomics
  2. RNA editing by ADAR proteins
  3. DNA editing by APOBEC proteins
  4. Transcriptome complexity
  5. Mobile elements in the genome
  6. RNA editing in diseases
Prof. Opatowsky Yarden
  1. Structural biology - X-ray crystallography
  2. Drug design
  3. Axon guidance - the Slit-Robo signaling system
  4. Molecular basis for human brain evolution
Prof. Unger Ron
  1. Understanding protein folding
  2. Computational analysis of ncRNA in Trypanosomes
  3. Studying the genetic components of Human diseases
  4. Using Machine learning for medical data mining
Dr. Binyamin Knisbacher
  1. RNA aberrations that drive cancer
  2. Neoantigens derived from RNA aberrations for immunotherapy applications
  3. Integrating sequencing and drug screen data for personalized medicine
  4. Identifying cancer cell vulnerabilities
  5. Cancer and immune heterogeneity via single-cell RNA-seq analysis
Prof. Yaron Orenstein
  1. Deep learning in computational biology
  2. Computational models of protein-DNA/RNA binding and gene expression regulation
  3. Structure prediction of DNA and RNA molecules
  4. Predicting the effects of genetic variants on protein function using high-throughput data
  5. Algorithms for designing DNA, RNA, and amino acid sequences
  6. Data structures and algorithms for efficient analysis of high-throughput sequencing data