Using Databases and Computational Techniques to Infer the Function of Novel Proteins

Authors

Viswanathan Ramanathan, University of Nebraska - LincolnFollow
Kelly A. Mercier, University of Nebraska - LincolnFollow
Robert Powers, University of Nebraska - LincolnFollow
Peter Revesz, University of Nebraska - LincolnFollow

Date of this Version

5-22-2005

Comments

Paper presented at 2005 IEEE International Conference on Electro Information Technology (May 2005) and published in their collection of reviewed papers.

Abstract

The Human Genome Project and similar efforts have resulted in the identification of an abundance of novel proteins. There is a need to expedite the process of assigning function to novel proteins. Nuclear magnetic resonance (NMR) spectroscopy can be used to infer a general biological function for a protein of unknown function by identifying compounds that preferentially bind the protein and comparing these results against proteins with defined structure and function. The Functional NMR screen generates hundreds of data sets and a manual analysis of these data sets is laborious and time- consuming. It is hypothesized that several sub-tasks of the Functional NMR can be automated successfully using an integrated database and data analysis system. Our database system integrates NMR data collection, processing, analysis, and data archiving into a unified user interface. An NMR spectra comparison algorithm is designed and implemented to compare NMR data in the presence and absence of a protein to ascertain if any compound-protein binding occurred.