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Related Experiment Videos

Using ARROWSMITH: a computer-assisted approach to formulating and assessing scientific hypotheses

N R Smalheiser1, D R Swanson

  • 1Department of Psychiatry, University of Illinois, Chicago 60612, USA. smalheiser@psych.uic.edu

Computer Methods and Programs in Biomedicine
|November 21, 1998
PubMed
Summary
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ARROWSMITH software aids scientific discovery by linking disparate research findings to generate novel hypotheses. This tool helps identify new scientific relationships and potential therapeutic targets across different fields.

Area of Science:

  • Biomedical Informatics
  • Computational Biology
  • Scientific Discovery

Background:

  • Traditional literature searches are limited for identifying novel hypotheses and cross-disciplinary links.
  • Discovering new scientific insights often requires connecting previously unrelated research areas.

Purpose of the Study:

  • To introduce ARROWSMITH, an interactive software system designed to facilitate the discovery of plausible hypotheses linking findings across scientific specialties.
  • To provide a tool for uncovering biologically significant relations between disparate fields of inquiry.

Main Methods:

  • ARROWSMITH utilizes database search strategies to identify potential links between concepts (A and C).
  • It constructs lists of intermediate terms (B) common to both concepts, generating AB and BC files for user review.

Related Experiment Videos

  • Interactive filtering and juxtaposition of search results aid in assessing biological significance.

    • Main Results:

    • ARROWSMITH has been applied to research problems including oxidative stress, brain damage, Alzheimer's disease, and schizophrenia.
    • The system facilitates applications such as anticipating adverse drug reactions and identifying new therapeutic approaches.

    Conclusions:

    • ARROWSMITH enhances scientific discovery by enabling the generation of novel hypotheses from existing literature.
    • The software supports diverse applications, including risk factor identification and the discovery of potential animal models for human diseases.