Project seeks to link new genome data with decades of research
Since the advent of the Human Genome Project an explosion of data has sent the science world scrambling. There is a growing demand to fine-tune genomic codes, which list the "ingredients for life," but do not adequately explain how those ingredients function.
A Rutgers University-Camden biochemist is addressing this knowledge gap through the creation of a database for quick "background checks" on all known enzyme functions.
Thanks to a National Institute of Health grant, Peter Palenchar, an assistant professor of chemistry at Rutgers-Camden, will categorize decades-worth of scholarship on enzymes into a database, beginning with those that bind to molecules that contain adenosine.
The $201,339 grant will allow Palenchar to track and simplify what has been written about some 130 enzymes, including energy-creators adenosine triphosphate (ATP) and adenosine diphosphate (ADP).
"There are 50-plus years of good data on how enzymes function, but it's a tedious process to understand the specialized language used in enzymology papers. Question is: how do you access that information quickly?" says Palenchar.
His goal is to create a standard vocabulary to describe how enzymes function for the biomedical community, especially those who work with anticancer drugs that target enzymes.
Palenchar, with assistance from Rutgers-Camden undergraduate Jason Cargill and graduate student Salvador Gomez, will not only establish this new vocabulary for an accessible database, but test its effectiveness in determining the accuracy of genomic codes.