Molecular networking has become a key method to visualize and annotate the chemical space in non-targeted mass spectrometry data. We present feature-based molecular networking (FBMN) as an analysis method in the Global Natural Products Social Molecular Networking (GNPS) infrastructure that builds on chromatographic feature detection and alignment tools. FBMN enables quantitative analysis and resolution of isomers, including from ion mobility spectrometry.

Molecular networking connects mass spectra of molecules based on the similarity of their fragmentation patterns. However, during ionization, molecules commonly form multiple ion species with different fragmentation behavior. As a result, the fragmentation spectra of these ion species often remain unconnected in tandem mass spectrometry-based molecular networks, leading to redundant and disconnected sub-networks of the same compound classes. To overcome this bottleneck, we develop Ion Identity Molecular Networking (IIMN) that integrates chromatographic peak shape correlation analysis into molecular networks to connect and collapse different ion species of the same molecule. The new feature relationships improve network connectivity for structurally related molecules, can be used to reveal unknown ion-ligand complexes, enhance annotation within molecular networks, and facilitate the expansion of spectral reference libraries. IIMN is integrated into various open source feature finding tools and the GNPS environment. Moreover, IIMN-based spectral libraries with a broad coverage of ion species are publicly available.

In the emerging field of active and specific cancer immunotherapy, strategies using live-attenuated bacterial vectors have matured in terms of academic and industrial development. Different bacterial species can be genetically engineered to deliver antigen to APCs with strong adjuvant effects due to their microbial origin. Proteic or DNA-encoding antigen delivery routes and natural bacterial tropisms might differ among species, permitting different applications. After many academic efforts to resolve safety and efficacy issues, some firms have recently engaged clinical trials with live Listeria or Salmonella spp. We describe here the main technological advances that allowed bacteria to become one of the most promising vectors in cancer immunotherapy.

Penicillin-binding proteins (PBPs) are membrane-associated enzymes which perform critical functions in the bacterial cell division process. The single d-Ala,d-Ala (d,d)-carboxypeptidase in Streptococcus pneumoniae, PBP3, has been shown to play a key role in control of availability of the peptidoglycal substrate during cell growth. Here, we have biochemically characterized and solved the crystal structure of a soluble form of PBP3 to 2.8 A resolution. PBP3 folds into an NH(2)-terminal, d,d-carboxypeptidase-like domain, and a COOH-terminal, elongated beta-rich region. The carboxypeptidase domain harbors the classic signature of the penicilloyl serine transferase superfamily, in that it contains a central, five-stranded antiparallel beta-sheet surrounded by alpha-helices. As in other carboxypeptidases, which are present in species whose peptidoglycan stem peptide has a lysine residue at the third position, PBP3 has a 14-residue insertion at the level of its omega loop, a feature that distinguishes it from carboxypeptidases from bacteria whose peptidoglycan harbors a diaminopimelate moiety at this position. PBP3 performs substrate acylation in a highly efficient manner (k(cat)/K(m) = 50,500 M(-1) x s(-1)), an event that may be linked to role in control of pneumococcal peptidoglycan reticulation. A model that places PBP3 poised vertically on the bacterial membrane suggests that its COOH-terminal region could act as a pedestal, placing the active site in proximity to the peptidoglycan and allowing the protein to "skid" on the surface of the membrane, trimming pentapeptides during the cell growth and division processes.