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Graphical abstract Highlights • Curated dataset of 111 1,4-benzoxazin-3-ones with antimicrobial activity data. • QSAR models of antibacterial activity with good predictive power (Q2 Ext ≥ 0.85). • In silico designed lead compounds predicted more potent than compounds in dataset. • 1,4-Benzoxazin-3-one scaffold possesses potential for antibacterial drug design. Abstract Synthetic derivatives of 1,4-benzoxazin-3-ones have been shown to possess promising antimicrobial activity, whereas their natural counterparts were found lacking in this respect. In this work, quantitative structure-activity relationships (QSAR) of natural and synthetic 1,4-benzoxazin-3-ones as antimicrobials were established. Data published in literature were curated into an extensive dataset of 111 compounds. Descriptor selection was performed by a genetic algorithm. QSAR models revealed differences in requirements for activity against fungi, gram-positive and gram-negative bacteria. Shape, VolSurf , and H-bonding property descriptors were frequently picked in all models. The models obtained for gram-positive and gram-negative bacteria showed good predictive power (Q2 Ext 0.88 and 0.85, respectively). Based on the models generated, an additional set of 1,4-benzoxazin-3-ones, for which no antimicrobial activity had been determined in literature, were evaluated in silico. Additionally, newly designed lead compounds with a 1,4-benzoxazin-3-one scaffold were generated in silico by varying the positions and combinations of substituents. Two of these were predicted to be up to 5 times more active than any of the compounds in the current dataset. The 1,4-benzoxazin-3-one scaffold was concluded to possess potential for the design of new antimicrobial compounds with potent antibacterial activity, a multitarget mode of action, and possibly reduced susceptibility to gram negatives' efflux pumps. [ABSTRACT FROM AUTHOR]

An autoclave treatment at 121 °C on periodate-oxidized plant polysaccharides and mixes thereof was investigated for the release of oligosaccharides to obtain a generic polysaccharide depolymerization method for polysaccharides fingerprinting. Matrix-Assisted Laser Desorption Ionization Time-Of-Flight Mass Spectrometry (MALDI-TOF MS) analysis of the oligosaccharides released showed that each polysaccharide had a unique oligosaccharides profile, even the same type of polysaccharide derived from different sources and/or having different fine structures (e.g. class of (arabino)xylans, galactomannans, glucans, or pectic materials). Various polysaccharide classes present in a polysaccharide mix could be identified based on significantly different (p < 0.05) marker m / z values present in the mass spectrum. Principal component analysis and hierarchical cluster analysis of the obtained MALDI-TOF MS data highlighted the structural heterogeneity of the polysaccharides studied, and clustered polysaccharide samples with resembling oligosaccharide profiles. Our approach represents a step further towards a generic and accessible identification of plant polysaccharides individually or in a mixture. [Display omitted] • Thermal depolymerization of periodate-oxidized plant polysaccharides was studied. • Structure-dependent oligosaccharides were obtained for various polysaccharides. • MALDI-TOF MS was used as a fingerprinting technique for oxidized oligosaccharides. • PCA and HCA of MALDI-TOF MS data distinguished polysaccharides. [ABSTRACT FROM AUTHOR]

Highlights: [•] Using an untargeted metabolomics approach 410 compounds were detected in soy protein hydrolysates. [•] Two groups of five compounds dominated the variability in the cell culture performance. [•] The effect of key compounds on IgG production was confirmed in validation experiments. [ABSTRACT FROM AUTHOR]

Milk contains all the nutrients for the growth and development of the neonate. However, milk composition is not constant during lactation. To study the changes of the milk proteome over lactation, filter-aided sample preparation combined with dimethyl labeling followed by liquid chromatography tandem mass spectrometry was used to identify and quantify milk proteins from 4 cows. A total of 229 proteins were identified, of which 219 were quantified. An 80% overlap was found in identified and quantified proteins between the 4 individual cows during lactation. Over lactation, the number of quantified proteins changed slightly (less than 10%), whereas the concentration of proteins changed considerably. Transport proteins involved in lipid synthesis (fatty acid-binding protein, perilipin-2, butyrophilin) increased, whereas proteins related to cholesterol transport (apolipoprotein E) decreased. The changes of lipid synthesis proteins are in accordance with the increased milk fat yield over lactation, indicating the increase of de novo mammary fatty acid synthesis as lactation advances. The high abundance of immune-related proteins in early lactation indicates the important role of these proteins for immune system development of calves. The increase in immune-related proteins (immunoglobulins, osteopontin, lactoferrin) and the decrease of proteins related to milk component synthesis (α-lactalbumin, β-lactoglobulin, fatty acid-binding protein, perilipin-2, butyrophilin) in late lactation can be associated with the protection of the mammary gland. In conclusion, the changes of proteins with different biological functions reflect not only the changing needs of calves but also the development and protection of the mammary gland over lactation. [ABSTRACT FROM AUTHOR]

Abstract: For a detailed reconstruction of historic upper forest line (UFL) positions, new proxies in addition to traditional pollen and vegetation analyses are needed. If the straight-chain lipid composition in plant leaves and roots is specific enough to allow distinction, their records in soils and peat bogs might be used for this purpose. We tested for such distinctiveness by analyzing the n-alkane, n-alcohol, n-aldehyde and wax ester composition in lipid extracts from the leaves and roots of the 19 plant species responsible for the dominant biomass input into soils and peat bogs along two altitudinal transects in the Ecuadorian Andes. We found the combined n-alkane and n-alcohol composition of the leaves of the studied plants to be unique enough in theory to allow for a distinction of the various plant species. The extractable straight-chain lipid concentrations in the roots were generally much lower than in the leaves of the same species, and were in many cases less specific. The n-fatty acids, n-aldehydes and wax ester compositions in leaves as well as roots appeared to be less suited as biomarkers, due to a lower specificity of the n-fatty acids and the absence of the n-aldehydes and wax ester from a significant number of plant species. Furthermore, using cluster analysis we found the combination of n-alkanes and n-alcohols from leaves to give the most meaningful clustering from the point of view of an UFL reconstruction, with all but one páramo grassland species and all but one peat bog species clustering separately from forest species. In addition, a large C31/C27 n-alkane ratio as well as a large C26/C30 n-alcohol ratio were found to be indicative of páramo vegetation (grasses). Both clustering and ratios can help reconstruct past UFL positions if discerning individual species from soil or peat records proves unfeasible. The preservation of the straight-chain lipid signal was tested in soil and peat samples from the study area predating 4910±40 14C years B.P. and 2110±40 14C years B.P., respectively, and found to be excellent. [Copyright &y& Elsevier]