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New Algorithms and Software for Mass Spectrometric Analysis of Intact Proteins and Complexes

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 2R44GM133239-02
Agency Tracking Number: R44GM133239
Amount: $799,604.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 400
Solicitation Number: PA19-272
Timeline
Solicitation Year: 2019
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-02-01
Award End Date (Contract End Date): 2023-01-31
Small Business Information
1622 SAN CARLOS AVE, SUITE C
San Carlos, CA 94070-2060
United States
DUNS: 967100921
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 MARSHALL BERN
 (650) 412-4210
 bern@proteinmetrics.com
Business Contact
 MARSHALL BERN
Phone: (650) 637-0713
Email: bern@proteinmetrics.com
Research Institution
N/A
Abstract

Intact proteins and multi-protein complexes represent two of the most important levels of
organization in biology, yet these levels are also some of the most difficult to study. Native
mass spectrometry provides a means to observe proteins in complex with ligands, other
proteins, and nucleic acids. The proposed project will build new algorithms and software for
intact and native mass spectrometry. Specifically, the project will further develop Protein
Metrics Intact Mass charge-deconvolution software, incorporating multiple information channels
(isotope spacing, co-elution, and charge states) into the core algorithm, so that the algorithm
can handle complex, low signal-to-noise mass spectra over a wide range of masses and
abundances. The project will also build automation software for analyzing data as it is produced
by mass spectrometry instruments, naming and organizing files, and producing reports showing
results at several levels of detail. The project will enable a number of interesting applications,
including small-molecule screening, large-molecule drug comparability, pharmacokinetics, and
protein / protein and protein / nucleic acid binding.We propose to develop commercial software products for determination of the masses of intact
proteins and protein complexes, and accurate quantitative comparison of these masses across
samples. We will also develop automation software to analyze data as it comes off the mass
spectrometry instrument computer, and reporting software that will produce both interactive and
static reports at a variety of levels of detail. The proposed project has the potential for great
impact on human health in areas such as drug and vaccine development and therapeutic
protein characterization.

* Information listed above is at the time of submission. *

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