R01AI160719
Project Grant
Overview
Grant Description
Development and Support of the Pathway Tools Software - Project Summary
The huge breadth and depth of data and knowledge defined by the genome sequence of an organism, and by large numbers of other experimental findings for the organism, requires a database (DB) as a central repository for information about the genome, the biochemical network, and the regulatory processes of that organism.
The Pathway Tools software is a robust and comprehensive system for constructing such organism-specific DBs. Pathway Tools enables communities of scientists to create, query, visualize, and analyze organism DBs, and to publish such DBs on the web. The software supports construction of organism DBs that combine a large number of bioinformatics datatypes, including genome maps, genes, operons, RNAs, proteins, chemical compounds, biochemical reactions, metabolic pathways, and regulatory interactions.
Pathway Tools further enables inference of qualitative metabolic reconstructions from sequenced genomes, and the creation of quantitative metabolic flux models from those reconstructions. Such metabolic models enable computational predictions of which genes and reactions within the metabolic network are essential, thus facilitating the design of drugs against disease-causing bacteria.
We propose to research several new inference algorithms that derive new information for a sequenced pathogen genome for inclusion in Pathway Tools DBs. One algorithm will detect cross-feeding and cofactor-exchange relationships within a community of organisms to advance mechanistic understanding of the human microbiome. A second algorithm will enable rapid communication of the biochemical machinery of an organism encoded in its genome to scientists, such as during a disease outbreak. A third algorithm will improve the prediction of operons within bacterial genomes based on new features including RNA-Seq data.
We also propose to implement a suite of cloud-based editing tools for Pathway Tools databases that execute within the user's web browser. These editing tools will enable communities of scientists to work together to update and share knowledge about a given genome.
Pathway Tools is a mature and production-grade software environment that 10,800 research groups around the world have licensed, and it has been cited 1,650 times. We propose to maintain the software, such as by installing new versions of its many components, and to support its user community through training, documentation, and bug fixing.
The huge breadth and depth of data and knowledge defined by the genome sequence of an organism, and by large numbers of other experimental findings for the organism, requires a database (DB) as a central repository for information about the genome, the biochemical network, and the regulatory processes of that organism.
The Pathway Tools software is a robust and comprehensive system for constructing such organism-specific DBs. Pathway Tools enables communities of scientists to create, query, visualize, and analyze organism DBs, and to publish such DBs on the web. The software supports construction of organism DBs that combine a large number of bioinformatics datatypes, including genome maps, genes, operons, RNAs, proteins, chemical compounds, biochemical reactions, metabolic pathways, and regulatory interactions.
Pathway Tools further enables inference of qualitative metabolic reconstructions from sequenced genomes, and the creation of quantitative metabolic flux models from those reconstructions. Such metabolic models enable computational predictions of which genes and reactions within the metabolic network are essential, thus facilitating the design of drugs against disease-causing bacteria.
We propose to research several new inference algorithms that derive new information for a sequenced pathogen genome for inclusion in Pathway Tools DBs. One algorithm will detect cross-feeding and cofactor-exchange relationships within a community of organisms to advance mechanistic understanding of the human microbiome. A second algorithm will enable rapid communication of the biochemical machinery of an organism encoded in its genome to scientists, such as during a disease outbreak. A third algorithm will improve the prediction of operons within bacterial genomes based on new features including RNA-Seq data.
We also propose to implement a suite of cloud-based editing tools for Pathway Tools databases that execute within the user's web browser. These editing tools will enable communities of scientists to work together to update and share knowledge about a given genome.
Pathway Tools is a mature and production-grade software environment that 10,800 research groups around the world have licensed, and it has been cited 1,650 times. We propose to maintain the software, such as by installing new versions of its many components, and to support its user community through training, documentation, and bug fixing.
Awardee
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Menlo Park,
California
940253453
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 298% from $1,172,505 to $4,665,041.
SRI International was awarded
Development & Support of Pathway Tools Software
Project Grant R01AI160719
worth $4,665,041
from the National Institute of Allergy and Infectious Diseases in May 2021 with work to be completed primarily in Menlo Park California United States.
The grant
has a duration of 4 years and
was awarded through assistance program 93.855 Allergy and Infectious Diseases Research.
The Project Grant was awarded through grant opportunity NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Complete)
Last Modified 5/6/24
Period of Performance
5/12/21
Start Date
4/30/25
End Date
Funding Split
$4.7M
Federal Obligation
$0.0
Non-Federal Obligation
$4.7M
Total Obligated
Activity Timeline
Transaction History
Modifications to R01AI160719
Additional Detail
Award ID FAIN
R01AI160719
SAI Number
R01AI160719-4264247430
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Nonprofit With 501(c)(3) IRS Status (Other Than An Institution Of Higher Education)
Awarding Office
75NM00 NIH NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES
Funding Office
75NM00 NIH NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES
Awardee UEI
SRG2J1WS9X63
Awardee CAGE
03652
Performance District
CA-16
Senators
Dianne Feinstein
Alejandro Padilla
Alejandro Padilla
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
National Institute of Allergy and Infectious Diseases, National Institutes of Health, Health and Human Services (075-0885) | Health research and training | Grants, subsidies, and contributions (41.0) | $2,331,383 | 100% |
Modified: 5/6/24