文学 (MaBEL) から生物学的実体マッピング (Mapping of Biological Entities from Literature) を使用して,疾患に関連する遺伝子を検索する
Gratchela Dutra Rodrigues1, Gabriel Liston de Menek1, Darling de Andrade Lourenço1
1Centro de Desenvolvimento Tecnológico, Campus Universitário, S / N - Capão do Leão, Rio Grande do Sul 96160-000, Brazil.
Computational biology and chemistry
|February 21, 2026
まとめ
MaBEL (Mapping of Biological Entities from Literature) は,さまざまな科学文献から病気に関連する遺伝子を効率的に識別するテキストマイニングプラットフォームです. 膨大な量のデータを分析することで,潜在的な治療目標の発見を加速します.
科学分野:
- バイオメディカル・インフォマティクス
- コンピュータ生物学 コンピュータ生物学
- テキストマイニング テキストマイニング
背景:
- 生物医学文献の指数関数的な成長は,疾患に関連する遺伝子と治療標的を特定するための課題を提起しています.
- 既存のテキストマイニングシステムは,しばしば単一のデータソースに依存し,包括的な分析を制限しています.
研究 の 目的:
- 拡張可能で適応可能なテキストマイニングプラットフォームであるMaBEL (文献から生物学的実体マッピング) を導入します.
- 効率的な遺伝子疾患関連発見のために,文献検索,エンティティ認識,およびデータ統合を統一する.
主な方法:
- MaBELは,DOIベースのデドゥプリケーションを使用して,PubMed,Scopus,プリプリントサーバーを含む複数のソースからの出版物を統合しています.
- 遺伝子/タンパク質認識のためのSciSpaCy,別名正常化のためのBioSyn,注釈のためのPubTator 3.0を備えたモジュラーNLPパイプラインを使用しています.
- 分散したアーキテクチャ (Flask,Celery,Docker) は,非同期で大規模なテキスト処理を可能にします.
主要な成果:
- MaBELは,7つの主要な病気のための14,000以上のユニークなアイテムを処理しました.
- このプラットフォームは,高頻度で病気を誘発する遺伝子を正確に特定しました.
- 結果は,Open Targets Platformの関連スコアと強く一致し,疾患と遺伝子関係の発見を検証しました.
結論:
- MaBELは,高度な生物医学テキストマイニングのための新しい拡張性のあるフレームワークを提供します.
- それは迅速な仮説生成を促進し,翻訳研究における分子標的の発見を加速します.
- プラットフォームは,より包括的な文献分析のための静的,単一のデータベースのアプローチを超越します.
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