Robert N Grothe

US Patent:

20080203284, Aug 28, 2008

Filed:

May 31, 2006

Appl. No.:

11/914588

Inventors:

Robert A. Grothe Jr. - Los Angeles CA, US

Assignee:

CEDARS-SINAI MEDICAL CENTER - Los Angeles CA

International Classification:

G01D 18/00
B01D 59/44

US Classification:

2502521, 250282, 250281

Abstract:

The invention relates to a mass spectrometry calibration system that may be performed in real-time using the information contained within a sample without the addition of specific calibrants. When applied to a sample, such as a proteomic sample, the calibration system may identify the exact masses of peptides in the sample. The system involves the use of mathematical algorithms that iteratively estimate the error in the measurement and update the calibration parameters accordingly; thereby resulting in peptide mass identification.

US Patent:

6564151, May 13, 2003

Filed:

Jan 28, 2000

Appl. No.:

09/493498

Inventors:

Matteo Pellegrini - Sherman Oaks CA
Edward M. Marcotte - Los Angeles CA
Michael J. Thompson - Santa Monica CA
David Eisenberg - Los Angeles CA
Robert Grothe - Santa Monica CA
Todd O. Yeates - Agoura Hills CA

Assignee:

The Regents of the University of California - Oakland CA

International Classification:

G06F 1900

US Classification:

702 19, 365 94

Abstract:

A computational method system, and computer program are provided for inferring functional links from genome sequences. One method is based on the observation that some pairs of proteins Aâ and Bâ have homologs in another organism fused into a single protein chain AB. A trans-genome comparison of sequences can reveal these AB sequences, which are Rosetta Stone sequences because they decipher an interaction between Aâ and B. Another method compares the genomic sequence of two or more organisms to create a phylogenetic profile for each protein indicating its presence or absence across all the genomes. The profile provides information regarding functional links between different families of proteins. In yet another method a combination of the above two methods is used to predict functional links.