Discovering protein similarity using natural language processing.

Proceedings. AMIA Symposium Pub Date : 2002-01-01
Indra N Sarkar, Thomas C Rindflesch
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引用次数: 0

Abstract

Extracting protein interaction relationships from textual repositories, such as MEDLINE, may prove useful in generating novel biological hypotheses. Using abstracts relevant to two known functionally related proteins, we modified an existing natural language processing tool to extract protein interaction terms. We were able to obtain functional information about two proteins, Amyloid Precursor Protein and Prion Protein, that have been implicated in the etiology of Alzheimer's Disease and Creutzfeldt-Jakob Disease, respectively.

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利用自然语言处理发现蛋白质的相似性。
从文本存储库(如MEDLINE)中提取蛋白质相互作用关系,可能有助于产生新的生物学假设。利用两种已知功能相关蛋白的相关摘要,我们改进了现有的自然语言处理工具来提取蛋白质相互作用项。我们能够获得两种蛋白的功能信息,淀粉样蛋白前体蛋白和朊蛋白,这两种蛋白分别与阿尔茨海默病和克雅氏病的病因有关。
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