Asaf Levy

The paper uses an XGBoost classifier to identify novel T6SS effectors in bacterial genomes, validating three new toxins with cytotoxic effects and structural features.

This study shows species-specific metabolic networks influence evolutionary routes to functional rescue in Bacillus subtilis under different selection pressures.

The paper identifies conserved inhibitory mechanisms in root-associated bacteria that affect both Arabidopsis thaliana and Chlamydomonas reinhardtii, using a scalable algal model to study cryptic inhibition.

PhageTAILor uses LightGBM on 74 detector features to flag prophages and bacterial phage tail-like elements (tailocins, T6SS, eCIS), recovering 12 of 13 validated tailocins under leave-one-genus-out.

This paper presents a modular platform for producing toxic bacterial proteins by linking toxins to their immunity proteins, enabling scalable and functional recovery.

This study identifies host-associated bacterial genes and functions using comparative genomics, revealing new roles in host-microbe interactions and microbial evolution.

The paper identifies a consistent depletion of prophages, plasmids, and defense systems in plant-associated bacterial genomes across multiple ecosystems.

This study identifies and characterizes the diversity of eCIS tail fiber proteins and their potential target cells, revealing new binding mechanisms and evolutionary origins.

Deeplasmid uses deep learning to accurately distinguish plasmids from bacterial chromosomes in assembled genomes, achieving high precision and validating novel plasmid detection.