Faculty Advisor

Adams, David S.

Faculty Advisor

Heilman, Destin

Abstract

The ability to modularly assemble Zinc Finger Proteins (ZFPs) as well as the wide variety of DNA sequences they can recognize, make ZFPs an ideal framework to design novel DNA-binding proteins. However, due to the complexity of the interactions between residues in the ZF recognition helix and the DNA-binding site there is currently no comprehensive recognition code that would allow for the accurate prediction of the DNA ZFP binding motifs or the design of novel ZFPs for a desired target site. Through the analysis of the DNA-binding site specificities of 98 ZFP clones, determined through a bacterial one-hybrid selection system, a predictive model was created that can accurately predict the binding site motifs of novel ZFPs.

Publisher

Worcester Polytechnic Institute

Date Accepted

April 2012

Major

Biology and Biotechnology

Major

Biochemistry

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Biology and Biotechnology

Advisor Department

Chemistry and Biochemistry

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