Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Protein sequencing experiment planning using analogy

B Kettler1, L Darden

  • 1Dept. of Computer Science, University of Maryland, College Park 20742, USA.

Proceedings. International Conference on Intelligent Systems for Molecular Biology
|January 1, 1993
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Ascites drainage leading to intestinal adhesions at the mesentery of the small intestine with fatal outcome.

Clinical medicine insights. Case reports·2014
Same author

Structural chemistry of polycyclic heteroaromatic compounds. Part 13. Photoelectron spectra and electronic structures of tricyclic hetarenes of the anthracene type.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2002
Same author

Generalizations in biology. [Review of: Schaffner, K. F. Discovery and explanation in biology and medicine. University of Chicago Press, 1993].

Studies in history and philosophy of science·1996
Same author

William Bateson and the promise of Mendelism.

Journal of the history of biology·1977
Same author

Reasoning in scientific change: Charles Darwin, Hugo de Vries, and the discovery of segregation.

Studies in history and philosophy of science·1976

The SeqER system automates scientific experiment design using derivational analogy for planning. This approach reuses past experiments, enabling planning even with limited domain knowledge, enhancing scientific discovery.

Area of Science:

  • Natural Sciences
  • Biochemistry
  • Computational Biology

Background:

  • Experiment design is crucial in natural sciences.
  • Automated planning can aid scientific experimentation.
  • Reusing past experimental data is key for efficiency.

Purpose of the Study:

  • To present the SeqER system for automated scientific experiment planning.
  • To integrate automated planning with domain knowledge.
  • To explore the use of derivational analogy in scientific reasoning.

Main Methods:

  • Developed the SeqER system with a general architecture for experiment planning.
  • Utilized rule-based methods and derivational analogy for planning.
  • Employed massively parallel methods for efficient case retrieval from a large casebase.

Related Experiment Videos

  • Simulated experiment execution using the SequenceIt program.
  • Interleaved planning with simulated execution and human-guided hypothesis generation.

    • Main Results:

    • SeqER successfully plans scientific experiments, initially configured for protein sequencing.
    • Derivational analogy enables planning with incomplete domain knowledge.
    • Massively parallel methods allow flexible and efficient retrieval of experimental cases.
    • The system facilitates interaction between automated planning and human scientific reasoning.

    Conclusions:

    • SeqER offers a generalizable architecture for automating scientific experiment design.
    • Derivational analogy is a powerful technique for reusing planning experience and handling knowledge gaps.
    • The system provides a platform for testing theories of scientific reasoning in experimental design.