Gamma Sigma Delta Reception

What a pleasure it is to be here today as we recognize outstanding scholarship. Like everyone here, I want to congratulate each of your students being recognized today for your scholastic accomplishments. I want you to know we are happy you’ve chosen to study with us in the College of Human Resources and Family Sciences, the Department of Biological Systems Engineering, and the College of Agricultural Sciences and Natural Resources.

Gamma Sigma Delta Reception

“Teachers open the door, but you must enter by yourself.” I think of that old Chinese proverb today as we celebrate outstanding scholarship. I know our extremely talented and dedicated faculty, of whom I am especially proud, do a tremendous job of opening doors for those students who study with us in our classes in the College of Agricultural Sciences and Natural Resources and the College of Human Resources and Family Sciences here at the University of Nebraska – Lincoln. Today we also are very proud of and for each of you students being recognized for your scholastic accomplishments.

Presentation Remarks: Gamma Sigma Delta Award of Merit

I am really pleased to have this opportunity to present the 2008 Gamma Sigma Delta Award of Merit to Alan Baquet. Being here to say "Congratulations, Alan," is a special treat for me - and I do say, "Congratulations, Alan." You are very deserving of this honor.

A macroscopic kinetic model for DNA polymerase elongation and high-fidelity nucleotide election

The enzymatically catalyzed template-directed extension of ssDNA/primer complex is an impor-tant reaction of extraordinary complexity. The DNA polymerase does not merely facilitate the insertion of dNMP, but it also performs rapid screening of substrates to ensure a high degree of fidelity. Several kinetic studies have determined rate constants and equilibrium constants for the elementary steps that make up the overall pathway. The information is used to develop a macro-scopic kinetic model, using an approach described by Ninio [Ninio J., 1987. Alternative to the steady-state method: derivation of reaction rates from first-passage times and pathway probabili-ties. Proc. Natl. Acad. Sci. U.S.A. 84, 663–667]. The principle idea of the Ninio approach is to track a single template/primer complex over time and to identify the expected behavior. The average time to insert a single nucleotide is a weighted sum of several terms, in-cluding the actual time to insert a nucleotide plus delays due to polymerase detachment from ei-ther the ternary (template-primer-polymerase) or quaternary (+nucleotide) complexes and time delays associated with the identification and ultimate rejection of an incorrect nucleotide from the binding site. The passage times of all events and their probability of occurrence are ex-pressed in terms of the rate constants of the elementary steps of the reaction pathway. The model accounts for variations in the average insertion time with different nucleotides as well as the in-fluence of G+C content of the sequence in the vicinity of the insertion site. Furthermore the model provides estimates of error frequencies. If nucleotide extension is recognized as a compe-tition between successful insertions and time delaying events, it can be described as a binomial process with a probability distribution. The distribution gives the probability to extend a primer/template complex with a certain number of base pairs and in general it maps annealed complexes into extension products.