Horia Todor

This study uses CRISPRi to screen B. subtilis genes across 150 stress conditions, revealing new roles for conserved firmicute genes in protein secretion, cell wall homeostasis, and bacterial competition.

The paper uses AI-based protein-protein interaction predictions to characterize protein function in mycobacterial pathogens, identifying key interactions and functions for previously uncharacterized proteins.

The paper predicts protein-protein interactions in Mycoplasma genitalium using a pooled-AlphaFold3 approach, improving accuracy and efficiency over traditional methods.

The paper performs a genome-wide CRISPRi screen in Mycobacterium smegmatis to uncover novel gene functions and drug targets related to the cell envelope.

This study uses dual CRISPRi-Seq to identify genetic interactions in Streptococcus pneumoniae, revealing key genes in the cell cycle and new interactions in essential processes.

The paper uses double-CRISPRi to systematically analyze genetic interactions in Bacillus subtilis, identifying over 1000 interactions and revealing roles of paralogous genes in cell division.

The paper identifies three distinct DedA subfamilies in bacteria with different phylogenetic distributions and potential functions.

The paper deciphers the DNA-specificity code of ECF σ factors to predict their regulons and reveals their varied regulatory roles in bacterial gene regulation.

The paper develops a CRISPRi system to modulate gene expression in bacteria and shows that essential gene expression-fitness relationships are conserved across species.