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DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM

Research article (Biocomputing 2019, 2018) · cited 16× · AI/ML
academia openalex:W2903112886
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DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM

Summary

DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM is a scholarly article[1].

Key Facts

  • DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepdom-predicting-protein-domain-boundary-from-sequence-alone-using-stacked-bidirectional-lstm
MLA “DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepdom-predicting-protein-domain-boundary-from-sequence-alone-using-stacked-bidirectional-lstm.
BibTeX @misc{4ortxyz_deepdom-predicting-protein-domain-boundary-from-sequence-alone-using-stacked-bidirectional-lstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM}}, year = {2026}, url = {https://4ort.xyz/entity/deepdom-predicting-protein-domain-boundary-from-sequence-alone-using-stacked-bidirectional-lstm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM — https://4ort.xyz/entity/deepdom-predicting-protein-domain-boundary-from-sequence-alone-using-stacked-bidirectional-lstm (retrieved 2026-05-24)

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