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Part 1: Document Description
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Citation |
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Title: |
In silico study of Allium sativa bioactives |
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Identification Number: |
doi:10.7910/DVN/F7FONP |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2023-01-03 |
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Version: |
1 |
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Bibliographic Citation: |
Ouma, Njunge,Kamakia, 2023, "In silico study of Allium sativa bioactives", https://doi.org/10.7910/DVN/F7FONP, Harvard Dataverse, V1 |
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Citation |
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Title: |
In silico study of Allium sativa bioactives |
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Identification Number: |
doi:10.7910/DVN/F7FONP |
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Authoring Entity: |
Ouma, Njunge,Kamakia (Kabarak University) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Stephen Ouma |
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Depositor: |
Faith Kamakia |
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Date of Deposit: |
2023-01-03 |
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Holdings Information: |
https://doi.org/10.7910/DVN/F7FONP |
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Study Scope |
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Keywords: |
Computer and Information Science, Medicine, Health and Life Sciences |
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Abstract: |
The data shows targets to the bioactive in Allium sativa, the docking scores of the active constituents to the predicted targets, 2D-visualisation of docked compounds, toxicity profiles of the compounds as well as pharmacokinetic properties. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
2D visualization of compounds in Discovery studio.docx |
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Notes: |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |
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Label: |
Docking scores of compounds |
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Notes: |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |
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Label: |
Pharmacokinetics properties of the bioactives.docx |
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Notes: |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |
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SWISS TARGET PREDICTIONS.docx |
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Notes: |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |
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Label: |
Toxicity profile of the bioactives and standard compounds.docx |
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Notes: |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |