Identification of Novel Drug Targets for Breast Cancer by Designing a Computer Simulation Program to Analyze the Kinetic Process for PIP2 Hydrolysis by PLCgamma

Abstract

PLC gamma 1 hydrolyzes the lipid substrate PIP2 to the two second messengers, IP3 and DAG, in response to certain growth factors, such as EGP. PLC gamma 1 is often overexpressed and activated in breast tumors. Overexpression and activation of PLC gamma 1 in breast tumors have been correlated with increased cell motility, therefore, PLC gamma 1 may play a role in tumor metastasis. As a consequence, PLC gamma 1 is an attractive target for novel anti-cancer therapies. My laboratory proposes to investigate if a computer simulation program can be generated based on existing experimental data, that can predict the kinetic behavior of PLC gamma 1. Creation of an kinetic simulation program for PLC gamma 1 will allow us to predict which steps are rate-limiting and then design experiments to test these predictions. The new experimental data will then be used to refine the simulation program. This approach, if successful, will allow a more rapid identification of potential drug targets. Additional benefit of the program is that it may be able to describe the kinetic behavior of any phospholipase or enzyme, which has been implicated in the progression of breast cancer, that requires binding to the membrane in order to be active.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2002
Accession Number
ADA410787

Entities

People

  • Gwenith Jones

Organizations

  • University of Virginia

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Cell Movement
  • Cells
  • Chemical Kinetics
  • Computational Science
  • Computer Simulations
  • Computers
  • Experimental Data
  • Hydrolysis
  • Identification
  • Lipids
  • Membranes
  • Neoplasms
  • Simulations

Readers

  • Breast cancer cell signaling and growth regulation.
  • Cellular and Molecular Pathways of Apoptosis.
  • Computational Modeling and Simulation