Glycolipid and Lipopeptide Biosurfactants: Structural Classes and Characterization-Rhamnolipids as a Model.

In recent years, biosurfactants (BS) produced by various bacteria, fungi and yeast strains have attracted much interest because of their unique properties and potential applications in many industries ranging from bioremediation to agriculture and biomedical to cosmetics. Glycolipids are a popular group of BS that include rhamnolipids, sophorolipids, mannosylerythritol, trehalose lipids, xylolipids and cellobiose lipids. Lipopeptides e.

A platform of ADAPTive scaffolds: development of CDR-H3 β-hairpin mimics into covalent inhibitors of the PD1/PDL1 immune checkpoint.

Aberrant and dysregulated protein-protein interactions (PPIs) drive a significant number of human diseases, which is why they represent a major class of targets in drug discovery. Although a number of high-affinity antibody-based drugs have emerged in this therapeutic space, the discovery of smaller PPI inhibitors is lagging far behind, underscoring the need for novel scaffold modalities. To bridge this gap, we introduce a biomimetic platform technology - adaptive design of antibody paratopes into therapeutics () - that enables the paratope-forming binding loops of antibodies to be crafted into large β-hairpin scaffolds ().

Endogenous Production and Vibrational Analysis of Heavy-Isotope-Labeled Peptides from Cyanobacteria.

Stable isotope labeling is an extremely useful tool for characterizing the structure, tracing the metabolism, and imaging the distribution of natural products in living organisms using mass-sensitive measurement techniques. In this study, a cyanobacterium was cultured in N/ C-enriched media to endogenously produce labeled, bioactive oligopeptides. The extent of heavy isotope incorporation in these peptides was determined with LC-MS, while the overall extent of heavy isotope incorporation in whole cells was studied with nanoSIMS and AFM-IR.

Three-in-one method for high throughput plant multi-omics.

Multi-omics has gained momentum over the past few years especially in plant single cell-type analysis as they aim to understand cellular molecular networks across different levels of genetic information flow. For multi-omics sample preparation, molecular extractions performed non-simultaneously create rooms for variation, inaccurate data, waste of limited samples, resources and labor. Here we optimized a protocol for 3-in-1 simultaneous extraction of RNA, metabolites, and proteins from the same single cell-type sample.