Tomer Tsaban

Signal peptides as potential structural modulators of human splice isoforms

The paper investigates how signal peptides (SPs) can modulate the structure and function of human splice isoforms by stabilizing truncated domains through complementation.

Peptide therapeutic leads for multi-target inhibition of inflammatory cytokines in Inflammatory Bowel Disease - computational design and in-vitro validation

This study computationally designs and validates peptides that inhibit key inflammatory cytokines in IBD, showing reduced cytokine release in vitro.

Protein language models can capture protein quaternary state

The paper trains a protein language model to predict protein quaternary states from sequences, showing it can distinguish multimers from monomers but performs worse than structure-based methods.

PatchMAN docking: Modeling peptide-protein interactions in the context of the receptor surface

PatchMAN models peptide-protein interactions by aligning structural motifs on the receptor surface, achieving high accuracy in docking without using sequence information.

Harnessing protein folding neural networks for peptide-protein docking

The paper applies AlphaFold2 to model peptide-protein interactions using a poly glycine linker, showing accurate predictions without sequence alignment.