MassIVE MSV000088768

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GNPS Vietnamese medicinal plant Melicope pteleifolia leaves

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Description

Crude CHCl3-MeOH extract and n-hexane, CHCl3, and EtOAc fractions from leaves of Melicope pteleifolia collected in Vietnam. Subfractions obtained from n-hexane fraction are also included. [doi:10.25345/C5V568] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Rutaceae ; Chromene dimers

Contact

Principal Investigators:
(in alphabetical order) 		Yuya Kakumu, Gifu University, Japan
Submitting User: Yuya_Kakumu

Publications

Kakumu Y, Thi Nguyen MT, Mitsunaga T.
Molecular networking-based discovery of anti-inflammatory chromene dimers from Melicope pteleifolia.
Phytochemistry. 2022 Oct;202:113322. Epub 2022 Jul 12. doi: 10.1016/j.phytochem.2022.113322.

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GNPS content goes here (MSV000088768 [task=d9f80f1ca5134bc984d264db2a3fb202])
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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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