Structural and Computational Biology | The Mina and Everard Goodman Faculty of Life Sciences

Researcher	Research Focus
Prof. Efroni Sol	The T-cell Repertoire Single-cell RNA sequencing Networks in Cancer Genomics Predicting drug response through cancer genomics
Dr. Knisbacher Binyamin	RNA aberrations that drive cancer Neoantigens derived from RNA aberrations for immunotherapy applications Integrating sequencing and drug screen data for personalized medicine Identifying cancer cell vulnerabilities Cancer and immune heterogeneity via single-cell RNA-seq analysis
Prof. Levanon Erez	Computational genomics RNA editing by ADAR proteins DNA editing by APOBEC proteins Transcriptome complexity Mobile elements in the genome RNA editing in diseases
Prof. Opatowsky Yarden	Structural biology - X-ray crystallography Drug design Axon guidance - the Slit-Robo signaling system Molecular basis for human brain evolution
Prof. Orenstein Yaron	Deep learning in computational biology Computational models of protein-DNA/RNA binding and gene expression regulation Structure prediction of DNA and RNA molecules Predicting the effects of genetic variants on protein function using high-throughput data Algorithms for designing DNA, RNA, and amino acid sequences Data structures and algorithms for efficient analysis of high-throughput sequencing data
Dr. Roichman Asael	Metabolite discovery using state-of-the-art HPLC and high-resolution LC-MS platforms coupled with advanced computational pipelines Identifying bioactive metabolites formed at the diet–gut microbiota–host interface, with a focus on metabolites found in plant-based foods (phytochemicals) Understanding how diet and the microbiome shape liver function Revealing mechanisms by which diet–microbiome interactions modulate cancer development and therapeutic response
Prof. Unger Ron	Understanding protein folding Computational analysis of ncRNA in Trypanosomes Studying the genetic components of Human diseases Using Machine learning for medical data mining