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You searched for +publisher:"Purdue University" +contributor:("Clinton Chapple"). One record found.

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1. Fico, Nicholas. Generation And Statistical Modeling Of Active Protein Chimeras: A Sequence Based Approach.

Degree: PhD, Biological Science, 2013, Purdue University

Generation of active protein chimeras is a valuable tool to probe the functional space of proteins. Statistical modeling is the next logical step, allowing us to build a model of gene fragment replaceability between species. In this thesis I begin to develop the statistical tools that are needed to systematically describe combinatorial protein libraries. I present three sets of diverse chimeric protein libraries developed using sequence information. The statistical model of the human N-Ras and human K-Ras-4B genes reveal a set previously unidetifed surface residues on the N-Ras G-Domain that may be involved in cellular localization. Statistical modeling of a library of chimeric proteins between A. thaliana cinnamate 4-hydroxylase (AtC4H) and S. moellendorffii cinnamate 4-hydroxylase (SmC4H) reveal a possible stabilizing effect of the N-terminal amino acids from SmC4H and, irreplaceable catalytic domains between AtC4H and SmC4H. I also show gene fragment replaceability on a small scale between functionally divergent AtC4H and A. thaliana ferulate 5-hyrdoxylase proteins. Finally, I show that commonly occurring residue pairs in the sequence record are effective covariates when modeling activity in the AtC4H-SmC4H chimeric library. Advisors/Committee Members: Alan M. Friedman, Daisuke Kihara, Alan M. Friedman, Cynthia Stauffacher, Clinton Chapple.

Subjects/Keywords: chimeric proteins; linear regression; logistic regression; phenylpropanoid; p450; ras proteins; Molecular Biology; Statistics and Probability

…ferulate 5-hydroxylase xiv ABSTRACT Fico, Nicholas J. Ph.D., Purdue University, December 2013… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fico, N. (2013). Generation And Statistical Modeling Of Active Protein Chimeras: A Sequence Based Approach. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/144

Chicago Manual of Style (16th Edition):

Fico, Nicholas. “Generation And Statistical Modeling Of Active Protein Chimeras: A Sequence Based Approach.” 2013. Doctoral Dissertation, Purdue University. Accessed January 22, 2020. https://docs.lib.purdue.edu/open_access_dissertations/144.

MLA Handbook (7th Edition):

Fico, Nicholas. “Generation And Statistical Modeling Of Active Protein Chimeras: A Sequence Based Approach.” 2013. Web. 22 Jan 2020.

Vancouver:

Fico N. Generation And Statistical Modeling Of Active Protein Chimeras: A Sequence Based Approach. [Internet] [Doctoral dissertation]. Purdue University; 2013. [cited 2020 Jan 22]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/144.

Council of Science Editors:

Fico N. Generation And Statistical Modeling Of Active Protein Chimeras: A Sequence Based Approach. [Doctoral Dissertation]. Purdue University; 2013. Available from: https://docs.lib.purdue.edu/open_access_dissertations/144

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