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1,046 results for “anti-inflammatory”
Figure 5 from: Kostyiuk I, Kostiuk V, Kimak H, Oktysyuk Y, Tarnavska L (2021) Experimental study the anti-inflammatory and osteo-regenerative qualities of the paste based on symphytum officinale tincture and calcium hydroxide. Pharmacia 68(3): 585-590. https://doi.org/10.3897/pharmacia.68.e67774
Figure 5 Microphotograph of a fragment of the mandible in a rat from experimental group 14 days after the begining of the experiment.The bone islands are formed (2) among the mixed cellular inflammatory infiltrate (1) and fill the bone defects. H&E, Magn.: oc.10, оb. 10.
Supplementary material 1 from: Indradi RB, Pitaloka DAE, Suryani (2022) Network pharmacology to uncover potential anti-inflammatory and immunomodulatory constituents in Curcuma longa rhizome as complementary treatment in COVID-19. Pharmacia 69(4): 995-1003. https://doi.org/10.3897/pharmacia.69.e89799
Datasets of Network Pharmacology Process
Fig. 5 in 13,13a-seco-protoberberines from the tubers of Corydalis yanhusuo and their anti-inflammatory activity
Fig. 5. The plausible biosynthetic pathway of compounds 2–6.
Fig. 1 in 13,13a-seco-protoberberines from the tubers of Corydalis yanhusuo and their anti-inflammatory activity
Fig. 1. Structures of 1–21.
Fig. 3 in 13,13a-seco-protoberberines from the tubers of Corydalis yanhusuo and their anti-inflammatory activity
Fig. 3. Comparison of experimental and calculated ECD of (+)-1, ()-1, (+)-2, and ()-2 in methanol.
Fig. 8 in Anti-inflammatory and anti-proliferative activities of chemical constituents from fungus Biscogniauxia whalleyi SWUF13-085
Fig. 8. OTEP projection of 13.
Fig. 4 in Anti-inflammatory and anti-proliferative activities of chemical constituents from fungus Biscogniauxia whalleyi SWUF13-085
Fig. 4. Key NOESY correlations of compounds 1, 3, 6 and 13.
Fig. 2 in Anti-inflammatory and anti-proliferative activities of chemical constituents from fungus Biscogniauxia whalleyi SWUF13-085
Fig. 2. COSY and key HMBC correlations of compounds 1, 2, 3, 6, 7 and 13.
Fig. 6 in Anti-inflammatory and cytotoxic carbazole alkaloids from Murraya kwangsiensis
Fig. 6. Key HMBC correlations of compounds 5, 8, and 12.
Fig. 4 in Anti-inflammatory and cytotoxic carbazole alkaloids from Murraya kwangsiensis
Fig. 4. The chiral HPLC analysis of the interconversion of compounds 1a and 1b.
Fig. 1 in Anti-inflammatory and cytotoxic carbazole alkaloids from Murraya kwangsiensis
Fig. 1. Structures of compounds 1–14.
Fig. 3 in Anti-inflammatory and cytotoxic carbazole alkaloids from Murraya kwangsiensis
Fig. 3. UV and ECD spectra and exciton coupling assignment of 1a.
Fig. 1 in Cucurbitane-type triterpenoids from the vines of Momordica charantia and their anti-inflammatory, cytotoxic, and antidiabetic activity
Fig. 1. The chemical structures of cucurbitanes 1–7 from the vines of M. charantia.
Fig. 3 in Cucurbitane-type triterpenoids from the vines of Momordica charantia and their anti-inflammatory, cytotoxic, and antidiabetic activity
Fig. 3. ORTEP diagram showing the crystallographic structures of compound 7.
Fig. 6 in Anti-inflammatory diterpenoid alkaloids from Aconitum tanguticum (Maxim.) Stapf
Fig. 6. Key HMBC (HC) and 1H–1H COSY () correlations for compound 3.
Fig. 11 in Anti-inflammatory diterpenoid alkaloids from Aconitum tanguticum (Maxim.) Stapf
Fig. 11. Key HMBC (HC) and 1H–1H COSY () correlations for compound 8.
Fig. 2 in Anti-inflammatory diterpenoid alkaloids from Aconitum tanguticum (Maxim.) Stapf
Fig. 2. Key HMBC (HC) and 1H–1H COSY () correlations for compound 1.
Fig. 8 in Anti-inflammatory diterpenoid alkaloids from Aconitum tanguticum (Maxim.) Stapf
Fig. 8. Key HMBC (HC) and 1H–1H COSY () correlations for compound 5.
Fig. 5 in Anti-inflammatory diterpenoid alkaloids from Aconitum tanguticum (Maxim.) Stapf
Fig. 5. Key NOSEY (H H) correlations for compounds 2–4.
Fig. 10 in Anti-inflammatory diterpenoid alkaloids from Aconitum tanguticum (Maxim.) Stapf
Fig. 10. Key HMBC (HC) and 1H–1H COSY () correlations for compound 7.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.