(R)-panaxadiol by whole cells of filamentous fungus Absidia coerulea AS 3.3382.

The microbial transformation of 20(R)-panaxadiol (PD) by the fungus Absidia coerulea AS 3.3382 afforded three new and three known metabolites. The structures of the metabolites were characterized as 3-oxo-20(R)-panaxadiol (1), 3-oxo-7ß- hydroxyl-20(R)-panaxadiol (2), 3-oxo-22ß-hydroxyl-20(R)-panaxadiol (3), 3-oxo- 7ß,22ß-dihydroxyl-20(R)-panaxadiol (4), 3-oxo-7ß,24ß-dihydroxyl-20(R)-panaxadiol (5), and 3-oxo-7ß,24α-dihydroxyl-20(R)-panaxadiol (6). Among them, 2-4 were new compounds. In addition, compounds 3 and 4 exhibited significant anti-hepatic fibrosis activity.

[Mahalanobis distance based hyperspectral characteristic discrimination of leaves of different desert tree species].

The hyperspectral reflectance of Populus euphratica, Tamarix hispida, Haloxylon ammodendron and Calligonum mongolicum in the lower reaches of Tarim River and Turpan Desert Botanical Garden was measured by using the HR-768 field-portable spectroradiometer. The method of continuum removal, first derivative reflectance and second derivative reflectance were used to deal with the original spectral data of four tree species. The method of Mahalanobis Distance was used to select the bands with significant differences in the original spectral data and transform spectral data to identify the different tree species. The progressive discrimination analyses were used to test the selective bands used to identify different tree species. The results showed that The Mahalanobis Distance method was an effective method in feature band extraction. The bands for identifying different tree species were most near-infrared bands. The recognition accuracy of four methods was 85%, 93.8%, 92.4% and 95.5% respectively. Spectrum transform could improve the recognition accuracy. The recognition accuracy of different research objects and different spectrum transform methods were different. The research provided evidence for desert tree species classification, monitoring biodiversity and the analysis of area in desert by using large scale remote sensing method.

Periodate-triggered cross-linking of DOPA-containing peptide-protein complexes.

Chemical cross-linking is a powerful methodology for analyzing proteins-small molecule and protein-protein interactions. We describe the development of a new chemical cross-linking reaction for the study of protein complexes. Specifically, we show that molecules containing an ortho dihydroxyarene unit can be oxidized selectively with sodium periodate in the presence of native proteins, producing an ortho quinone intermediate that can cross-link with suitable nearby protein residues. We demonstrate the efficacy and specificity of this chemistry for a peptide-protein complex and also deduce the binding site of an artificial activation domain on a proteasome subcomplex.