Yuval Mulla

Degree bias predicts, outperforms and improves machine learning phage-host interaction predictions

The paper shows that degree bias in phage-host networks inflates ML model performance and proposes a method to improve predictions by removing this bias.

Phage phenotyping by measuring plaque expansion dynamics

This paper introduces a method to quantify phage killing rates by tracking plaque expansion dynamics on semi-solid media, revealing significant variation in expansion parameters across phages and taxonomic families.

Rapid resistance evolution against phage cocktails

This study shows how bacteria rapidly develop resistance to multiple phages by sequentially acquiring resistance as phages replicate at different times, and identifies strategies to prevent this resistance.

Extreme diversity of phage amplification rates and phage-antibiotic interactions revealed by PHORCE

This paper introduces PHORCE, a method to quantify phage amplification rates and reveals wide variation in phage-antibiotic interactions across Escherichia coli phages.

Fine-Tuning of Material Properties via Catch Bonds

This study uses an agent-based model to show that catch-slip bonds enhance the mechanical properties of polymer networks and aid myosin motors in generating contractile forces.