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1,046 results for “anti-inflammatories”
Fig. 1 in Meroterpenoids from the fungus Penicillium sclerotiorum GZU-XW03-2 and their anti-inflammatory activity
Fig. 1. Structures of compounds 1–7.
Fig. 4 in Meroterpenoids from the fungus Penicillium sclerotiorum GZU-XW03-2 and their anti-inflammatory activity
Fig. 4. The experimental and calculated ECD spectra of compounds 1–7.
Fig. 3 in Meroterpenoids from the fungus Penicillium sclerotiorum GZU-XW03-2 and their anti-inflammatory activity
Fig. 3. Key NOESY correlations of compounds 1–7.
Fig. 3. 1H–1H COSY and selected HMBC correlations for 1–5 in Molecular networking-based discovery of anti-inflammatory chromene dimers from Melicope pteleifolia
Fig. 3. 1H–1H COSY and selected HMBC correlations for 1–5.
Fig. 2 in Molecular networking-based discovery of anti-inflammatory chromene dimers from Melicope pteleifolia
Fig. 2. Structures of compounds 1–5.
Fig. 1 in Structural characterization of phenolic constituents from the rhizome of Imperata cylindrica var. major and their anti-inflammatory activity
Fig. 1. The structures of new compounds 1–10.
Fig. 4. The main 1H 1H in Structural characterization of phenolic constituents from the rhizome of Imperata cylindrica var. major and their anti-inflammatory activity
Fig. 4. The main 1H 1H COSY and HMBC correlations of 7–10.
Fig. 6 in Structural characterization of phenolic constituents from the rhizome of Imperata cylindrica var. major and their anti-inflammatory activity
Fig. 6. The main NOE correlations of 40 and 10.
Fig. 3. The main 1H 1H in Structural characterization of phenolic constituents from the rhizome of Imperata cylindrica var. major and their anti-inflammatory activity
Fig. 3. The main 1H 1H COSY, HMBC correlations of 1–6 and NOE correlation of 1.
Fig. 7 in Structural characterization of phenolic constituents from the rhizome of Imperata cylindrica var. major and their anti-inflammatory activity
Fig. 7. Calculated and experimental ECD spectra of 40.
Fig. 5 in Structural characterization of phenolic constituents from the rhizome of Imperata cylindrica var. major and their anti-inflammatory activity
Fig. 5. The main NOE correlations of 8.
Fig. 2 in Structural characterization of phenolic constituents from the rhizome of Imperata cylindrica var. major and their anti-inflammatory activity
Fig. 2. The structures of known compounds 11–47.
Fig. 8 in Three unusual hybrid sorbicillinoids with anti-inflammatory activities from the deep-sea derived fungus Penicillium sp. SCSIO06868
Fig. 8. NO production inhibitory effects of compounds 1 and 2.
Fig. 5 in Three unusual hybrid sorbicillinoids with anti-inflammatory activities from the deep-sea derived fungus Penicillium sp. SCSIO06868
Fig. 5. Comparation of the experimental ECD curves of compounds 1–3.
Fig. 3 in Three unusual hybrid sorbicillinoids with anti-inflammatory activities from the deep-sea derived fungus Penicillium sp. SCSIO06868
Fig. 3. Chemical structures of compounds 1–11.
Fig. 4. Key 1H–1H in Three unusual hybrid sorbicillinoids with anti-inflammatory activities from the deep-sea derived fungus Penicillium sp. SCSIO06868
Fig. 4. Key 1H–1H COSY (¡), HMBC (→), and NOESY (↔) correlations of compound 1.
Fig. 7. A in Three unusual hybrid sorbicillinoids with anti-inflammatory activities from the deep-sea derived fungus Penicillium sp. SCSIO06868
Fig. 7. A suggested biosynthesis pathway of compounds 1–3.
Fig. 1 in Three unusual hybrid sorbicillinoids with anti-inflammatory activities from the deep-sea derived fungus Penicillium sp. SCSIO06868
Fig. 1. Typical monomeric-, di-, tri- and hybrid sorbicillinoids.
Fig. 2. Key 2D NMR correlations for 1–6 in Undescribed ecdysteroids and phenolic glycosides from the roots of Cyathula officinalis Kuan and their anti-inflammatory activity in LPS-induced RAW 264.7 macrophages in vitro
Fig. 2. Key 2D NMR correlations for 1–6.
Fig. 1 in Undescribed ecdysteroids and phenolic glycosides from the roots of Cyathula officinalis Kuan and their anti-inflammatory activity in LPS-induced RAW 264.7 macrophages in vitro
Fig. 1. Chemical structures of 1–6.
ScienceDex guides
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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.