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---
tags:
- spacy
- token-classification
language:
- en
widget:
- text: "In recent years, fatty acid binding protein 5 (FABP5), also known as fatty acid transporter, has been widely researched with the help of modern genetic technology. Emerging evidence suggests its critical role in regulating lipid transport, homeostasis, and metabolism. Its involvement in the pathogenesis of various diseases such as metabolic syndrome, skin diseases, cancer, and neurological diseases is the key to understanding the true nature of the protein. This makes FABP5 be a promising component for numerous clinical applications. This review has summarized the most recent advances in the research of FABP5 in modulating cellular processes, providing an in-depth analysis of the protein’s biological properties, biological functions, and mechanisms involved in various diseases. In addition, we have discussed the possibility of using FABP5 as a new diagnostic biomarker and therapeutic target for human diseases, shedding light on challenges facing future research."
model-index:
- name: en_BiomedNER_EuropePMC
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.871384947
- name: NER Recall
type: recall
value: 0.9057132188
- name: NER F Score
type: f_score
value: 0.8882175227
---
Bio literature Named Entity Recognition using microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext transformer model. The model recognises the following entities:
| **CD** | Chemical/Drugs |
| **DS** | Diseases |
| **GP** | Gene/Protein |
| **OG** | Organism |
| Feature | Description |
| --- | --- |
| **Name** | `en_BiomedNER_EuropePMC` |
| **Version** | `1.0.0` |
| **spaCy** | `>=3.2.4,<3.3.0` |
| **Default Pipeline** | `transformer`, `ner` |
| **Components** | `transformer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [Santosh Tirunagari](https://europepmc.org/) |
### Label Scheme
<details>
<summary>View label scheme (4 labels for 1 components)</summary>
| Component | Labels |
| --- | --- |
| **`ner`** | `CD`, `DS`, `GP`, `OG` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `ENTS_F` | 88.82 |
| `ENTS_P` | 87.14 |
| `ENTS_R` | 90.57 |
| `TRANSFORMER_LOSS` | 92291.81 |
| `NER_LOSS` | 109755.03 | |