Knowledge-based integrative framework for hypothesis formation in biochemical networks

Nam Tran, Chitta Baral, Vinay J. Nagaraj, Lokesh Joshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

The current knowledge about biochemical networks is largely incomplete. Thus biologists constantly need to revise or extend existing knowledge. These revision or extension are first formulated as theoretical hypotheses, then verified experimentally. Recently, biological data have been produced in great volumes and in diverse formats. It is a major challenge for biologists to process these data to reason about hypotheses. Many computer-aided systems have been developed to assist biologists in undertaking this challenge. The majority of the systems help in finding "pattern" in data and leave the reasoning to biologists. Few systems have tried to automate the reasoning process of hypothesis formation. These systems generate hypotheses from a knowledge base and given observations. A main drawback of these knowledge-based systems is the knowledge representation formalism they use. These formalisms are mostly monotonic and are now known to be not quite suitable for knowledge representation, especially in dealing with incomplete knowledge, which is often the case with respect to biochemical networks. We present a knowledge based framework for the general problem of hypothesis formation. The framework has been implemented by extending BioSigNet-RR. BioSigNet-RR is a knowledge based system that supports elaboration tolerant representation and non-monotonic reasoning. The main features of the extended system include: (1) seamless integration of hypothesis formation with knowledge representation and reasoning; (2) use of various resources of biological data as well as human expertise to intelligently generate hypotheses. The extended system can be considered as a prototype of an intelligent research assistant of molecular biologists. The system is available at http://www.biosignet.org.

Original languageEnglish (US)
Title of host publicationLecture Notes in Bioinformatics (Subseries of Lecture Notes in Computer Science)
EditorsB. Ludascher, L. Raschid
Pages121-136
Number of pages16
Volume3615
StatePublished - 2005
EventSecond International Workshop on Data Integration in the Life Sciences, DILS 2005 - San Diego, CA, United States
Duration: Jul 20 2005Jul 22 2005

Other

OtherSecond International Workshop on Data Integration in the Life Sciences, DILS 2005
CountryUnited States
CitySan Diego, CA
Period7/20/057/22/05

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computer Science (miscellaneous)
  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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  • Cite this

    Tran, N., Baral, C., Nagaraj, V. J., & Joshi, L. (2005). Knowledge-based integrative framework for hypothesis formation in biochemical networks. In B. Ludascher, & L. Raschid (Eds.), Lecture Notes in Bioinformatics (Subseries of Lecture Notes in Computer Science) (Vol. 3615, pp. 121-136)