Generating the Blood Exposome Database Using a Comprehensive Text Mining and Database Fusion Approach.

ABSTRACT:

Background

Blood chemicals are routinely measured in clinical or preclinical research studies to diagnose diseases, assess risks in epidemiological research, or use metabolomic phenotyping in response to treatments. A vast volume of blood-related literature is available via the PubMed database for data mining.

Objectives

We aimed to generate a comprehensive blood exposome database of endogenous and exogenous chemicals associated with the mammalian circulating system through text mining and database fusion.

Methods

Using NCBI resources, we retrieved PubMed abstracts, PubChem chemical synonyms, and PMC supplementary tables. We then employed text mining and PubChem crowdsourcing to associate phrases relating to blood with PubChem chemicals. False positives were removed b

SUBMITTER: Barupal DK 

PROVIDER: S-EPMC6794490 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature