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.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Bell, Heather Anne

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042512-185614

Advisor

• Heilman, Destin
• Adams, David S.

Year

• 2012

Sponsor

• Scot Wolfe

Date created

• 2012-04-25

Resource type

• Major Qualifying Project

Major

• Biochemistry
• Biology & Biotechnology

Rights statement

• In Copyright