Agilent Technologies teams-up with Battelle Memorial Institute to develop an artificial neural network technology for protein research
Agilent Technologies has announced a cooperative research and development agreement (Crada) with Battelle Memorial Institute, the operating and management contractor for the US Department of Energy's (DOE) Pacific Northwest National Laboratory (PNNL) located in Richland, Wash.
The objective of the agreement is to further development of an artificial neural network technology for protein identification that was developed at PNNL, and adapt it to Agilent liquid chromatograph/mass spectrometer (LC/MS) systems.
The work is expected to ultimately provide protein researchers with a method of protein identification that increases statistical confidence.
Protein identification is frequently accomplished by chemically digesting (fragmenting) proteins and then using LC/MS technology to separate and analyse the resulting peptide fragments.
The PNNL-developed breakthrough technology uses artificial neural networks to predict how long it takes individual peptides to emerge, or elute, from the liquid chromatograph.
This predictive power greatly increases confidence in the LC/MS identification of the peptides and original proteins.
Tests conducted in the William R Wiley Environmental Molecular Sciences Laboratory, a DOE scientific user facility located at PNNL, have shown the predicted retention times match actual retention times to within approximately 3%.
"The elution prediction model adds another significant metric to peptide identification which can increase accuracy or alternatively, reduce the need for high-mass measurement accuracy in mass spectrometry proteomics," said Richard Smith, laboratory fellow at PNNL.
"We are excited about the prospect of further developing and demonstrating the method on the standardised commercial LC/MS platform to be supplied by Agilent through the Crada".
The Crada provides for the further development and demonstration of the PNNL-developed technology on LC/MS systems, supplied to PNNL by Agilent.
PNNL plans to use funding provided by the DOE's Office of Science, Life Sciences Division to demonstrate the peptide retention time capability on Agilent's instruments.
Agilent has the option to negotiate an exclusive license for the patent-pending, Battelle-owned background intellectual property, and any inventions that may arise.
"PNNL's elution prediction model is well-matched to the outstanding stability of the Agilent 1100 Series LC," said John Michnowicz, LC/MS marketing manager for Agilent Technologies.
"We look forward to the chance to make this promising technology available to proteomics researchers."
