# In Vitro Methodologies Ontology for MAATrica metric (VIMM)

> MAATrica is a novel metric for assessing the coherence of methodologies in research papers...

- Page: https://library.schematica.io/model/b790531eaa434b5e867322728bbbd183
- Model type: Ontology
- License: CC BY 4.0
- Access type: Free
- Access method: Download
- Model size: Small
- Formats: OBO
- External link: https://bioportal.bioontology.org/ontologies/VIMM
- Contact: Giulia Panzarella (giulia.panzarella3@gmail.com)
- Listed in library: 2025-06-12
- Last updated: 2024-04-21

## Description

## Ontology Info

| Field | Value |
|-------|-------|
| Acronyme | VIMM |
| Description | MAATrica is a novel metric for assessing the coherence of methodologies in research papers within the fields of medicinal and nutraceutical chemistry. MAATrica employs user-controlled and customizable ontologies (in silico, in vitro and in vivo), enabling personalized analysis of research papers in the fields of medicinal and nutraceutical chemistry. Here we present the in vitro ontology we developed for the scope. |
| Format | OBO |
| Categories | Vocabularies, Chemical, Molecule, Cell, Subcellular, Experimental Conditions |
| Groups |  |

## Metrics

| Metric | Value |
|--------|-------|
| Classes | 260 |
| Individuals | 0 |
| Properties | 0 |
| Max Depth | 2 |
| Max Child Count | 141 |
| Average Child Count | 5 |
| Classes With One Child | 15 |
| Classes With More Than 25 Children | 1 |
| Classes With No Definition | 260 |

## Projects using VIMM

No projects using VIMM

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Source: https://library.schematica.io/model/b790531eaa434b5e867322728bbbd183