Products

and

are intelligent search engines for biomedical literature. In contrast to classical search engines GoPubMed and MeSHPubMed can answer questions. Consider the following examples:

  1. Which molecular pathways are inhibited by aspirin?

  2. What is Richards Axel from Columbia University working on?

  3. Which cellular component is the protein Rab5 associated with?

A search for "aspirin inhibits", "axel richards columbia" or "rab5" on a classical search engine will return large numbers of results which are unstructured and do not answer the user's original question, as a classical search engine has no background knowledge on molecular processes, functions, and cellular components.

GoPubMed and MeSHPubMed use such background knowledge on biological pathways, molecular functions, and cellular components etc.. The machines index search results using background knowledge and thus allows users to explore a large body of results in a structured manner.

With its background knowledge, the machines can answer questions!

  1. GoPubMed discovers that the most frequently mentioned pathway for "aspirin inhibits" is the cyclooxygenase pathway.

  2. GoPubMed discovers that the most frequently mentioned function for "axel richards columbia" is olfactory receptor activity (for this work he obtained a nobel prize in 2004).

  3. GoPubMed discovers that the most frequently mentioned cellular component for "rab5" is the endosome.

 

GoPubMed Modules

GoPubMed uses a generic base technology, which can be applied to all knowledge intensive domains. It is configured with knowledge modules, which capture the background knowledge suitable for your application and document modules allowing you to search everything from the literature to your local desktop.

  • Knowledge module molecular biology is based on the GeneOntology and captures molecular functions, biological processes and cellular components.

  • Knowledge module food science captures ingredients, products, and compounds.

  • Knowledge module proteins captures all protein names and their synonyms.

  • Knowledge module authors and locations captures geographical locations as well as authors and institutes, so that you know who are the top players, institutes, and journals in a specific topic.

  • Document module biomedical literature comprises over 16 million abstracts in PubMed.

  • Document module intranet comprises your organisation' s documents in formats such as HTML, Word, and PDF.

  • Document module desktop comprises your local desktop's documents in formats such as HTML, Word, and PDF.

  • Document module image search allows you to specifically search for biomedical images based on an intelligent image analysis and classification. This is particulary important as 70% of biomedical data is published in images.

  • myGoPubMed comprises a tailor-made configuration of the above standard modules extended by a semi-automatically generated adaption of the background knowledge to perfectly fit your needs and applications.