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In silico molecular docking and molecular dynamic simulation of agarwood compounds with molecular targets of Alzheimer's disease
<p>We added Supplementary Figure 8a.</p>
Continuous (hydro-)dechlorination of aromatic chloride compounds in benzyltoluene
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Figure 1 from: Fadhilah QG, Santoso I, Maryanto AE, Abdullah S, Yasman Y (2021) Evaluation of the antifungal activity of marine actinomycetes isolates against the phytopathogenic fungi Colletotrichum siamense KA: A preliminary study for new antifungal compound discovery. Pharmacia 68(4): 837-843. https://doi.org/10.3897/pharmacia.68.e72817
Figure 1 Results of the antibiosis assay of SM14 isolate in PDA filtrate medium. A. control, B. 6 days, C. 9 days, D. 12 days.
Figure 3 from: Fadhilah QG, Santoso I, Maryanto AE, Abdullah S, Yasman Y (2021) Evaluation of the antifungal activity of marine actinomycetes isolates against the phytopathogenic fungi Colletotrichum siamense KA: A preliminary study for new antifungal compound discovery. Pharmacia 68(4): 837-843. https://doi.org/10.3897/pharmacia.68.e72817
Figure 3 Phylogenetic analysis of marine actinomycetes isolates. The neighbor-joining tree of the three marine actinomycetes isolates (SM11, SM14, and SM15) was based on the 16S rRNA gene sequences. Streptomyces albus subsp. albus DSM 40313T is represented as an outgroup. The bootstrap values, based on 1,000 replications, are shown at the nodes; only values above 50% are given. The scale bar indicates 0.0050 substitutions per nucleotide position.
Recent Advances and Perspectives in Photodriven Charge Accumulation in Molecular Compounds: A Mini Review
<p>Source files for figures in the publication in <em>Energy Fuels</em><em> </em><strong>2021</strong>, <em>35</em>, 18848–18856.</p> <p>https://pubs.acs.org/doi/10.1021/acs.energyfuels.1c02073</p>
Data from: Drought then wildfire reveals a compound disturbance in a resprouting forest
<p class="MsoNormal">The frequency and intensity of forest disturbances such as drought and fire are increasing globally, with an increased likelihood of multiple disturbance events occurring in short succession. Disturbances layered over one another may influence the likelihood or intensity of subsequent events (a linked disturbance) or impact response and recovery trajectories (a compound disturbance), with substantial implications for ecological spatiotemporal vulnerability. This study evaluates evidence for disturbance interactions of drought followed by wildfire in a resprouting eucalypt-dominated forest (the Northern Jarrah Forest) in southwestern Australia.<span> </span>Sites were stratified by drought (high, low) from previous modelling and ground validation, and fire severity (high, moderate, unburnt) via remote sensing using the relative difference normalised burn ratio (RdNBR). Evidence of a linked disturbance was assessed via fine fuel consumption and remotely sensed fire severity (RdNBR). Compound disturbance effects were quantified at stand scale (canopy height, quadratic mean diameter, stem density) and at the stem scale (mortality).<span> </span>There was no evidence of prior drought influencing fine fuel consumption or fire severity, hence no evidence of a linked disturbance.<span> </span>However, compound disturbance effects were evident; stands previously affected by drought experienced smaller shifts in canopy height, quadratic mean diameter, and stem density than stands without prior drought impact. At the stem scale, size and fire severity were the strongest determinants of stem survival. Proportional resprouting height was higher in high drought sites than in low drought sites (p<0.01), thus, structurally, the low drought stands decreased in height more than the high drought stands. Thus, a legacy of the drought was evident after the wildfire. While these resprouting eucalypt forests have been regarded as particularly resilient, this study illustrates how multiple disturbances can overwhelm the larger tree component and promote an abundance of smaller stems. We suggest that this is early evidence of a structural destabilisation of these forests under a more fire prone, hotter and drier future climate.</p>
Figure 5 from: Santoso I, Fadhilah QG, Safitri SD, Handayani S, Maryanto AE, Yasman Y (2022) Inhibition of the phytopathogenic fungi Curvularia lunata BM and Ganoderma sp. TB4 by antifungal compounds produced by Bacillus siamensis LDR grown on hanjeli (Coix lacryma-jobi L.) starch. Pharmacia 69(1): 203-210. https://doi.org/10.3897/pharmacia.69.e80180
Figure 5 The chromatogram profile of the crude extract of Bacillus siamensis LDR : A. C14 iturin A; B. C14 bacillomycin F; C. C15 bacillomycin F; D. C16 bacillomycin F; E. C12 surfactin; F. C13 surfactin.
Figure 4 from: Santoso I, Fadhilah QG, Safitri SD, Handayani S, Maryanto AE, Yasman Y (2022) Inhibition of the phytopathogenic fungi Curvularia lunata BM and Ganoderma sp. TB4 by antifungal compounds produced by Bacillus siamensis LDR grown on hanjeli (Coix lacryma-jobi L.) starch. Pharmacia 69(1): 203-210. https://doi.org/10.3897/pharmacia.69.e80180
Figure 4 Thin layer chromatography of crude extract Bacillus siamensis LDR : A. lipid moiety; B. protein moiety.
Figure 6 from: Santoso I, Fadhilah QG, Safitri SD, Handayani S, Maryanto AE, Yasman Y (2022) Inhibition of the phytopathogenic fungi Curvularia lunata BM and Ganoderma sp. TB4 by antifungal compounds produced by Bacillus siamensis LDR grown on hanjeli (Coix lacryma-jobi L.) starch. Pharmacia 69(1): 203-210. https://doi.org/10.3897/pharmacia.69.e80180
Figure 6 The results of mass spectrometry analysis: A. C14 iturin A (m/z 1043.5526); B. C14 iturin A (m/z 1044.5375); C. C14 bacillomycin F (m/z 1057.5688); D. C15 bacillomycin F (m/z 1071.5848); E. C16 bacillomycin F (m/z 1085.6011); F. C12 surfactin (m/z 994.6440); and G. C13 surfactin (m/z 1008.6606)
Figure 2 from: Santoso I, Fadhilah QG, Safitri SD, Handayani S, Maryanto AE, Yasman Y (2022) Inhibition of the phytopathogenic fungi Curvularia lunata BM and Ganoderma sp. TB4 by antifungal compounds produced by Bacillus siamensis LDR grown on hanjeli (Coix lacryma-jobi L.) starch. Pharmacia 69(1): 203-210. https://doi.org/10.3897/pharmacia.69.e80180
Figure 2 Growth inhibition of Ganoderma sp. TB4 on potato dextrose agar (PDA)-filtrate medium: A. control, B. 12 days, C. 14 days, D. 16 days.
Figure 3 from: Santoso I, Fadhilah QG, Safitri SD, Handayani S, Maryanto AE, Yasman Y (2022) Inhibition of the phytopathogenic fungi Curvularia lunata BM and Ganoderma sp. TB4 by antifungal compounds produced by Bacillus siamensis LDR grown on hanjeli (Coix lacryma-jobi L.) starch. Pharmacia 69(1): 203-210. https://doi.org/10.3897/pharmacia.69.e80180
Figure 3 Growth inhibition of Curvularia lunata BM: A. control, B. treatment; Ganoderma sp. TB4 : C. control; D. treatment caused by the crude extract of Bacillus siamensis LDR.
Figure 1 from: Santoso I, Fadhilah QG, Safitri SD, Handayani S, Maryanto AE, Yasman Y (2022) Inhibition of the phytopathogenic fungi Curvularia lunata BM and Ganoderma sp. TB4 by antifungal compounds produced by Bacillus siamensis LDR grown on hanjeli (Coix lacryma-jobi L.) starch. Pharmacia 69(1): 203-210. https://doi.org/10.3897/pharmacia.69.e80180
Figure 1 Growth inhibition of Curvularia lunata BM on potato dextrose agar (PDA)-filtrate medium: A. control, B. 12 days, C. 14 days, D. 16 days.
Figure 3 from: Burda NYe, Zhuravel IO, Dababneh MF, Fedchenkova YA (2019) Analysis of diosgenin and phenol compounds in Tribulus terrestris L. Pharmacia 66(2): 41-44. https://doi.org/10.3897/pharmacia.66.e35023
Figure 3 Diosgenin quantitative determination chromatogram in caltrop herb. 1 – diosgenin standard sample (5 µL / 2,5 µg); 3 – diosgenin standard sample (10 µL / 5 µg); 5 – diosgenin standard sample (15 µL / 7,5 µg); 7 – diosgenin standard sample (10 µL); 9 – diosgenin standard sample (5 µL); 2, 4, 6, 8 – solutions of caltrop herb samples.
Figure 2 from: Burda NYe, Zhuravel IO, Dababneh MF, Fedchenkova YA (2019) Analysis of diosgenin and phenol compounds in Tribulus terrestris L. Pharmacia 66(2): 41-44. https://doi.org/10.3897/pharmacia.66.e35023
Figure 2 Diosgenin identification chromatogram in caltrop herb. 1 – diosgenin standard sample, 2- solution of caltrop herb sample.
Figure 6 from: Burda NYe, Zhuravel IO, Dababneh MF, Fedchenkova YA (2019) Analysis of diosgenin and phenol compounds in Tribulus terrestris L. Pharmacia 66(2): 41-44. https://doi.org/10.3897/pharmacia.66.e35023
Figure 6 The dependence of the area of the chromatographic zones on the content of diosgenin in the sample.
Figure 1 from: Burda NYe, Zhuravel IO, Dababneh MF, Fedchenkova YA (2019) Analysis of diosgenin and phenol compounds in Tribulus terrestris L. Pharmacia 66(2): 41-44. https://doi.org/10.3897/pharmacia.66.e35023
Figure 1 Chromatogram of phenol compounds determination in caltrop herb. 1, 2, 3, 5, 6, 7 – solutions of caltrop herb samples, 4 – solution of standard samples of substances (caffeic acid, chlorogenic acid, rutin, hyperoside).
Figure 4 from: Peikova L, Tzankova D, Dineva A, Georgieva M, Zlatkov A (2019) Development of a chiral RP-HPLC method for identification of stereomers of newly synthesized xanthine-based hydrazide-hydrazone compound. Pharmacia 66(1): 1-6. https://doi.org/10.3897/pharmacia.66.e35643
Figure 4 Representative chromatogram of the analyzed 2-(1,3-dimethyl-2,6-dioxo-2,3-dihydro-1H-purine-7(6H)-yl)-N'-(3-fluoro-benzylidene)propanehydrazide.
Figure 2 from: Peikova L, Tzankova D, Dineva A, Georgieva M, Zlatkov A (2019) Development of a chiral RP-HPLC method for identification of stereomers of newly synthesized xanthine-based hydrazide-hydrazone compound. Pharmacia 66(1): 1-6. https://doi.org/10.3897/pharmacia.66.e35643
Figure 2 A typical chromatogram of 2-(1,3-dimethyl-2,6-dioxo-2,3-dihydro-1H-purine-7(6H)-yl)-N'-(3-fluorobenzylidene)propanehydrazide racemate analysed using the final chromatographic conditions.
Figure 1 from: Peikova L, Tzankova D, Dineva A, Georgieva M, Zlatkov A (2019) Development of a chiral RP-HPLC method for identification of stereomers of newly synthesized xanthine-based hydrazide-hydrazone compound. Pharmacia 66(1): 1-6. https://doi.org/10.3897/pharmacia.66.e35643
Figure 1 Chemical structure of the evaluated 2-(1,3-dimethyl-2,6-dioxo-2,3-dihydro-1H-purine-7(6H)-yl)-N'-(3-fluorobenzylidene)propanehydrazide.
Supplementary material 1 from: Castaño Sánchez A, Pereira J, Gonçalves F, Reboleira A (2018) Comparative acute toxicity of the pharmaceutical compound Diclofenac on groundwater and surface water crustaceans. ARPHA Conference Abstracts 1: e29822. https://doi.org/10.3897/aca.1.e29822
Poster presented at the 24th International Conference on Subterranean Biology. University of Aveiro (Portugal), 20-24th August 2018.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.