Swantje Lenz

The paper identifies and characterizes a non-canonical bacterial protein translocation-folding complex using cryo-electron tomography, proteomics, and structure prediction in Mycoplasma pneumoniae.

The paper identifies lipid specificity in membrane organizing protein complexes by mapping lipid-protein interactions and demonstrating phosphatidylethanolamine's role in stabilizing NDC1 and MIC60.

The paper identifies AIFM1/AK2 interaction as a gatekeeper of mitochondrial ATP synthase, showing it is NADH-dependent and linked to metabolic state, with implications for mitochondrial diseases.

The paper audits error control in twelve crosslinking mass spectrometry pipelines using ground-truth designs, finding some pipelines exceed false discovery rates by up to 29-fold.

The paper uses AI to predict protein complex structures in Bacillus subtilis using crosslinking and cofractionation mass spectrometry data.

The paper evaluates MS-cleavable crosslinkers, finding that improved peptide backbone fragmentation, not mass resolution, is the main advantage of DSSO.

The paper demonstrates a reliable false-discovery rate estimation method for protein-protein interactions identified by crosslinking mass spectrometry using Escherichia coli cell lysate.

The paper determines the in-cell architecture of a transcribing and translating expressome in Mycoplasma pneumoniae using integrative structural methods.

This study uses gene co-expression networks to infer functions for uncharacterized genes in Aspergillus niger, identifying four transcription factors involved in secondary metabolite synthesis.

The paper introduces Xi-MPA, a method for in-search assignment of monoisotopic peaks in cross-linking mass spectrometry, which improves peptide identification without compromising accuracy.