Patterns of Pathogenesis

Abstract

This MSR has focused on the development of tools to analyze infectious pathogens. The rationale is that many pathogens share a set of functions that allow them to invade a host cell, evade the host cell defenses, multiply inside the host cell, and eventually escape both the cell and the host organism to spread infection. Our goal has been to bring to bear the rich set of bioinformatics resources that are becoming available, from gene sequences to knowledge embedded in the biological literature, in order to understand these "virulence factors." We have focused on: 1) identifying relevant datasets and resources; 2) developing a pipeline for analysis of experimental data; and 3) developing flexible tools to integrate information from the biomedical literature. A deeper understanding of virulence mechanisms will make it possible to create improved disease models, to identify countermeasures, and to speed up the "bug-to-drug" pipeline. Our accomplishments include the creation of an international challenge evaluation for text mining in biology (BioCreAtIvE); the creation of an international community focused on text mining tools to support for curation of biological databases; support to DARPA to pitch a BioOntologies program; the award of a grant from NSF; and the publication of 20 peer reviewed papers and book chapters.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
AD1107027

Entities

People

  • Alexander Morgan
  • Lynette Hirschman
  • Marc Colosimo

Organizations

  • MITRE Corporation

Tags

DTIC Thesaurus Topics

  • Biological Sciences
  • Biological Toxins
  • Biology
  • Computational Science
  • Computer Programming
  • Data Analysis
  • Data Integration
  • Data Mining
  • Data Set
  • Data Sets
  • Database Management Systems
  • Databases
  • Digital Data
  • Experimental Data
  • Functional Analysis
  • Genetics
  • Identification
  • Infectious Diseases
  • Information Science
  • Language
  • Lessons Learned
  • Machine Learning
  • Ontologies
  • Proteins
  • Statistical Analysis
  • Text Mining

Fields of Study

  • Biology

Readers

  • Defense Technology Research and Development.
  • Distributed Systems and Data Platform Development
  • Infectious Disease/Epidemiology

Technology Areas

  • Biotechnology