A Proteogenomic Search Engine for Direct Mass Spectrometric Identification of Variant Proteins Using Genomic Data

NIH RePORTER · NIH · R44 · $550,206 · view on reporter.nih.gov ↗

Abstract

Project Summary / Abstract Mass spectrometry-based proteomics, used in conjunction with genomics, has been called proteogenomics. Recent exponential increases in variant identification by next-generation sequencing (NGS) is redefining the concept of the human genome/proteome. Our project is the commercialization of a first-to-market proteomic database search engine for mass spectrometry capable of directly reading NGS data for the identification of mutilations from individual samples or from curated resources. Such an offering has the potential to bring together these two fields, enabling validation of mutations at the protein-level. Mutated proteins have been shown to make ideal targets for drug therapies and diagnostics in cancer. Our software will provide an intuitive user experience, approachable by scientists who may not be expert both proteomic and genomic data analysis. Since the search engine is guided by prior knowledge, performance exceeds current practice. The software will come complete with a full array of post-processing validation, and visualization tools.

Key facts

NIH application ID
10259859
Project number
5R44CA217432-03
Recipient
SPECTRAGEN INFORMATICS, LLC
Principal Investigator
Paul Anthony Rudnick
Activity code
R44
Funding institute
NIH
Fiscal year
2021
Award amount
$550,206
Award type
5
Project period
2017-09-01 → 2023-02-28