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Related Experiment Videos

Advances in text analytics for drug discovery.

Phoebe M Roberts1, William S Hayes

  • 1Biogen Idec Inc, Information Services and Library, Research Informatics, 14 Cambridge Center, Cambridge, MA 02142, USA.

Current Opinion in Drug Discovery & Development
|May 17, 2005
PubMed
Summary

Automated scientific literature analysis has advanced, improving access to biological and chemical data. New infrastructure systems are crucial for managing this growing information and supporting hypothesis-driven research.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Text Analytics

Background:

  • Recent advancements in automated information extraction from scientific literature.
  • Growing need for robust infrastructure to manage and integrate extracted data.
  • Increased accessibility of biological and chemical information.

Purpose of the Study:

  • To review recent progress in automated extraction of biological and chemical information.
  • To discuss essential advances in the infrastructure supporting scientific literature analysis.
  • To highlight the impact of text analytics competitions on research efforts.

Main Methods:

  • Review of literature on automated information extraction techniques.
  • Analysis of infrastructure system developments for scientific data management.
  • Discussion of outcomes from text analytics competitions.

Main Results:

  • Significant improvements in extracting genes, chemicals, kinetic data, and relationships.
  • Enhanced algorithms for hypothesis generation and testing.
  • Flourishing research collaborations across disciplines like computer science and bioinformatics.

Conclusions:

  • The power of scientific literature analysis systems necessitates parallel infrastructure advancements.
  • Text analytics competitions foster interdisciplinary research and innovation.
  • Continued development in automated extraction and infrastructure is key for future scientific discovery.

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