Relative effectiveness of inhibition strategies for control of biological signaling pathways

Many therapeutically useful and critically important drugs are inhibitors of particular enzymes in a signaling pathway. The efficiency with which an inhibitor inactivates its target can be characterized by the binding kinetics and thermodynamics. However, the overall efficiency with which the inhibitor shuts down a pathway or process, arrests a signal, or interferes with an outcome can be quite different and is often measured in cell-based assays. Because of non-linear effects, particularly in signaling pathways but elsewhere as well, non-obvious and possibly useful relationships may exist such that much greater inhibition is needed at some points in a pathway as compared to others to achieve the same overall effect. To investigate the relationship between inhibiting a signaling molecule and interrupting the result of that signal, we used pathway simulations to study the effects of inhibition for different pathway components and the effect on pathway output. We use two biological characteristics to assess the inhibitory effects: the peak and integrated pathway response. In the epidermal growth factor receptor (EGFR) pathway, 50% inhibition of most enzymes in the pathway yields less than 50% reduction of the final activated ERK output. Inhibiting MEK was found most effective in EGFR pathway and it is more effective than directly inhibiting ERK itself. Inhibiting two signaling molecules at the same time yields an effect similar to the linear superposition of effects of inhibiting them separately. In the extrinsic apoptosis pathway, 50% inhibition of most signaling molecules in the pathway yields less than 50% reduction of the final caspase-3 output. The most effective inhibitor found is XIAP which is already included in the extrinsic apoptosis pathway.

Department dc:contributor.department

Massachusetts Institute of Technology. Computation for Design and Optimization Program.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2010

Author dc:creator

• Li, Meng, S.M. Massachusetts Institute of Technology

Advisor dc:contributor.advisor

• Bruce Tidor.

• Computation for Design and Optimization Program.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/61891

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/61891