Attractor Signaling Models for Discovery of Combinatorial Therapies

Abstract

The objective of this project consists in demonstrating that attractor models increase the chances of discovering combinations of many drugs with strong synergistic effects in lung cancer. The approach will be tested using a high throughput screening facility to compare the therapeutic effectiveness of random combinations and combinations predicted to be effective by the model.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
ADA613861

Entities

People

  • Carlo Piermarocchi

Organizations

  • Michigan State University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Allergy And Immunology
  • Biomedical Research
  • Cancer
  • Cell Physiological Processes
  • Cells
  • Computational Biology
  • Computational Science
  • Databases
  • Information Science
  • Lung Cancer
  • Mathematical Models
  • Neoplasms
  • Neural Networks
  • Proteins
  • Stem Cells
  • Systems Biology

Readers

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  • Oncology and Biomarker-Based Cancer Detection.