Literature DB >> 11159331

A knowledge model for analysis and simulation of regulatory networks.

A Rzhetsky1, T Koike, S Kalachikov, S M Gomez, M Krauthammer, S H Kaplan, P Kra, J J Russo, C Friedman.   

Abstract

MOTIVATION: In order to aid in hypothesis-driven experimental gene discovery, we are designing a computer application for the automatic retrieval of signal transduction data from electronic versions of scientific publications using natural language processing (NLP) techniques, as well as for visualizing and editing representations of regulatory systems. These systems describe both signal transduction and biochemical pathways within complex multicellular organisms, yeast, and bacteria. This computer application in turn requires the development of a domain-specific ontology, or knowledge model.
RESULTS: We introduce an ontological model for the representation of biological knowledge related to regulatory networks in vertebrates. We outline a taxonomy of the concepts, define their 'whole-to-part' relationships, describe the properties of major concepts, and outline a set of the most important axioms. The ontology is partially realized in a computer system designed to aid researchers in biology and medicine in visualizing and editing a representation of a signal transduction system.

Entities:  

Mesh:

Year:  2000        PMID: 11159331     DOI: 10.1093/bioinformatics/16.12.1120

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  11 in total

1.  The lexical properties of the gene ontology.

Authors:  Alexa T McCray; Allen C Browne; Olivier Bodenreider
Journal:  Proc AMIA Symp       Date:  2002

2.  A knowledge framework for computational molecular-disease relationships in cancer.

Authors:  Michael N Cantor; Yves A Lussier
Journal:  Proc AMIA Symp       Date:  2002

3.  A proposal for augmenting biological model construction with a semi-intelligent computational modeling assistant.

Authors:  Scott Christley; Gary An
Journal:  Comput Math Organ Theory       Date:  2012-12       Impact factor: 2.023

4.  Visualizing information across multidimensional post-genomic structured and textual databases.

Authors:  Ying Tao; Carol Friedman; Yves A Lussier
Journal:  Bioinformatics       Date:  2004-12-14       Impact factor: 6.937

Review 5.  A cheminformatic toolkit for mining biomedical knowledge.

Authors:  Gus R Rosania; Gordon Crippen; Peter Woolf; David States; Kerby Shedden
Journal:  Pharm Res       Date:  2007-03-24       Impact factor: 4.200

6.  Text mining and network analysis of molecular interaction in non-small cell lung cancer by using natural language processing.

Authors:  Jun Li; Lintao Bi; Yanxia Sun; Zhenxia Lu; Yumei Lin; Ou Bai; Hui Shao
Journal:  Mol Biol Rep       Date:  2014-09-10       Impact factor: 2.316

7.  TRANSPATH--a high quality database focused on signal transduction.

Authors:  Claudia Choi; Mathias Krull; Alexander Kel; Olga Kel-Margoulis; Susanne Pistor; Anatolij Potapov; Nico Voss; Edgar Wingender
Journal:  Comp Funct Genomics       Date:  2004

8.  Developing a protein-interactions ontology.

Authors:  Esther Ratsch; Jörg Schultz; Jasmin Saric; Philipp Cimiano Lavin; Ulrike Wittig; Uwe Reyle; Isabel Rojas
Journal:  Comp Funct Genomics       Date:  2003

9.  Identifying and classifying biomedical perturbations in text.

Authors:  Raul Rodriguez-Esteban; Phoebe M Roberts; Matthew E Crawford
Journal:  Nucleic Acids Res       Date:  2008-12-12       Impact factor: 16.971

10.  Looking at cerebellar malformations through text-mined interactomes of mice and humans.

Authors:  Ivan Iossifov; Raul Rodriguez-Esteban; Ilya Mayzus; Kathleen J Millen; Andrey Rzhetsky
Journal:  PLoS Comput Biol       Date:  2009-11-06       Impact factor: 4.475

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