Dirk Schnappinger

The paper identifies and evaluates dibasic piperidines as novel cell wall inhibitors against Mycobacterium tuberculosis, showing activity across multiple media and differential sensitivity in resistant strains.

This study identifies Mtb's LCFA resistome and shows TB15.3 as a critical metabolic regulator preventing LCFA toxicity during infection.

The paper identifies an unusual [3Fe-4S] cluster in EtfD from Mycobacterium smegmatis and shows its role in linking β-oxidation to proton pumping in the electron transport chain.

The paper identifies Rv2571c as a mycobacterial ion channel that mediates pyrazinamide resistance by regulating cytoplasmic acidification.

This study identifies chlorotonils as potent anti-Mtb agents and shows resistance is mediated by MmpR5-MmpL5.

The paper develops an orally effective biotin inhibitor, C48, against Mycobacterium tuberculosis, demonstrating in vivo efficacy in a low-biotin mouse model.

The paper describes the development of lysyl tRNA synthetase inhibitors for tuberculosis treatment, optimizing compounds for preclinical and potential clinical use.

This study introduces DECIPHAER, a tool that identifies critical mechanisms of tuberculosis drug action by integrating multi-modal data, revealing that respiration inhibition is more impactful than cell wall effects.

This study identifies a periplasmic protein complex in Mtb that supports arabinofuranosyltransferase activity and contributes to intrinsic drug resistance.

This study identifies common biological features of MmpL3 inhibitors, showing potent activity against M. tuberculosis and highlighting their potential as drug candidates.

This paper introduces PCL analysis to predict small molecule mechanisms of action in Mycobacterium tuberculosis using PROSPECT data, achieving high sensitivity and precision in MOA prediction.

This paper develops an engineered Mycobacterium tuberculosis strain with kill switches for a safe TB human challenge model, showing rapid clearance and low escape rates.

This study develops a 'suicide' BCG strain that is safely eliminated in immunocompromised hosts but induces stronger immune responses and better protection against Mtb in macaques.

This paper introduces CRISPRi-DR, a dose-response model to analyze chemical-genetic interactions in CRISPRi screens, showing improved precision over existing methods.

This study identifies host-pathogen genetic interactions influencing tuberculosis susceptibility using a genetically diverse mouse panel and Mtb mutants.

This paper introduces a statistical method using Zero-Inflated Negative Binomial regression to identify genes with significant variability in insertion counts across multiple conditions in TnSeq data.