Pipeline to Detect Cellular/Molecular Biology Entities

Description

This pretrained pipeline is built on the top of bert_token_classifier_ner_jnlpba_cellular model.

Predicted Entities

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How to use

from sparknlp.pretrained import PretrainedPipeline

pipeline = PretrainedPipeline("bert_token_classifier_ner_jnlpba_cellular_pipeline", "en", "clinical/models")

text = '''The results suggest that activation of protein kinase C, but not new protein synthesis, is required for IL-2 induction of IFN-gamma and GM-CSF cytoplasmic mRNA. It also was observed that suppression of cytokine gene expression by these agents was independent of the inhibition of proliferation. These data indicate that IL-2 and IL-12 may have distinct signaling pathways leading to the induction of IFN-gammaand GM-CSFgene expression, andthatthe NK3.3 cell line may serve as a novel model for dissecting the biochemical and molecular events involved in these pathways. A functional T-cell receptor signaling pathway is required for p95vav activity. Stimulation of the T-cell antigen receptor ( TCR ) induces activation of multiple tyrosine kinases, resulting in phosphorylation of numerous intracellular substrates. One substrate is p95vav, which is expressed exclusively in hematopoietic and trophoblast cells..'''

result = pipeline.fullAnnotate(text)
import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline

val pipeline = new PretrainedPipeline("bert_token_classifier_ner_jnlpba_cellular_pipeline", "en", "clinical/models")

val text = "The results suggest that activation of protein kinase C, but not new protein synthesis, is required for IL-2 induction of IFN-gamma and GM-CSF cytoplasmic mRNA. It also was observed that suppression of cytokine gene expression by these agents was independent of the inhibition of proliferation. These data indicate that IL-2 and IL-12 may have distinct signaling pathways leading to the induction of IFN-gammaand GM-CSFgene expression, andthatthe NK3.3 cell line may serve as a novel model for dissecting the biochemical and molecular events involved in these pathways. A functional T-cell receptor signaling pathway is required for p95vav activity. Stimulation of the T-cell antigen receptor ( TCR ) induces activation of multiple tyrosine kinases, resulting in phosphorylation of numerous intracellular substrates. One substrate is p95vav, which is expressed exclusively in hematopoietic and trophoblast cells.."

val result = pipeline.fullAnnotate(text)

Results

|    | ner_chunk                             |   begin |   end | ner_label   |   confidence |
|---:|:--------------------------------------|--------:|------:|:------------|-------------:|
|  0 | protein kinase C                      |      39 |    54 | protein     |     0.993263 |
|  1 | IL-2                                  |     104 |   107 | protein     |     0.969095 |
|  2 | IFN-gamma and GM-CSF cytoplasmic mRNA |     122 |   158 | RNA         |     0.998495 |
|  3 | cytokine gene                         |     202 |   214 | DNA         |     0.953537 |
|  4 | IL-2                                  |     320 |   323 | protein     |     0.999317 |
|  5 | IL-12                                 |     329 |   333 | protein     |     0.999216 |
|  6 | IFN-gammaand GM-CSFgene               |     400 |   422 | protein     |     0.995236 |
|  7 | NK3.3 cell line                       |     447 |   461 | cell_line   |     0.998958 |
|  8 | T-cell receptor                       |     583 |   597 | protein     |     0.987655 |
|  9 | p95vav                                |     633 |   638 | protein     |     0.999857 |
| 10 | T-cell antigen receptor               |     669 |   691 | protein     |     0.99891  |
| 11 | TCR                                   |     695 |   697 | protein     |     0.998049 |
| 12 | tyrosine kinases                      |     732 |   747 | protein     |     0.999636 |
| 13 | p95vav                                |     834 |   839 | protein     |     0.999842 |
| 14 | hematopoietic and trophoblast cells   |     876 |   910 | cell_type   |     0.999709 |

Model Information

Model Name: bert_token_classifier_ner_jnlpba_cellular_pipeline
Type: pipeline
Compatibility: Healthcare NLP 4.4.4+
License: Licensed
Edition: Official
Language: en
Size: 404.8 MB

Included Models

  • DocumentAssembler
  • SentenceDetectorDLModel
  • TokenizerModel
  • MedicalBertForTokenClassifier
  • NerConverterInternalModel