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2228069

Cooperative Agreement

Overview

Grant Description
SBIR Phase II: An Omics-Based Computational Drug Design and Discovery Platform for Next Generation Microbiome Therapeutics - The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase II project focuses on the human gut microbiome, the complex and dynamic community of microorganisms residing in the gastrointestinal tract. The gut microbiome influences a variety of human diseases, such as type 2 diabetes and inflammatory bowel disease.

Collectively, these diseases afflict more than 120 million people and cost more than $580 billion in patient treatments in the US annually. The current standard care of treatments for many of these diseases have variable efficacy and serious side effects. There is increasing interest in modulating the gut microbiome using microbiome therapeutics, i.e., therapeutics comprising living bacteria, as a new generation of drugs for difficult-to-treat diseases.

However, the industry currently lacks a reliable approach to systematically and cost-effectively developing effective microbiome therapeutics. Specifically, the largest barrier to microbiome therapeutic development is the lack of predictive preclinical models to translate early-stage research into drug discovery and development.

The proposed project seeks to address the barrier to the use of microbiome therapeutics by developing a first-of-its-kind computational platform, as the first comprehensive, computational, drug design and discovery platform. Currently, the development of microbiome therapeutics is based on a series of experimental and statistical steps that identify the potential microbial strains for target therapeutic candidates in an empirical and iterative process.

As a result, this approach requires extensive iterative in vitro and in vivo experiments, which substantially increase the length and cost of the development programs. These challenges have resulted in an inefficient and unpredictable microbiome therapeutic development process, limiting the number of efficacious microbiome therapeutics that could save millions of lives worldwide.

This project addresses these challenges by reliably and cost-effectively identifying therapeutic candidates for a wide range of indications. This platform could replace the current iterative and unpredictable development process in the drug discovery stage. The utility of the platform will be demonstrated by developing new therapeutic candidates for type 2 diabetes and validating the efficacy of these candidates in preclinical studies.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH PHASE II (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE II", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF22552
Awarding / Funding Agency
Place of Performance
San Francisco, California 94107-3007 United States
Geographic Scope
Single Zip Code
Related Opportunity
22-552
Analysis Notes
Amendment Since initial award the End Date has been extended from 05/31/25 to 11/30/26 and the total obligations have increased 41% from $1,000,000 to $1,405,998.
Nexilico was awarded Cooperative Agreement 2228069 worth $1,405,998 from National Science Foundation in June 2023 with work to be completed primarily in San Francisco California United States. The grant has a duration of 3 years 5 months and was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.

SBIR Details

Research Type
SBIR Phase II
Title
SBIR Phase II:An omics-based computational drug design and discovery platform for next generation microbiome therapeutics
Abstract
The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase II project focuses on the human gut microbiome, the complex and dynamic community of microorganisms residing in the gastrointestinal tract.The gut microbiome influences a variety of human diseases, such as Type 2 Diabetes and inflammatory bowel disease. Collectively, these diseases afflict more than 120 million people and cost more than $580 billion in patient treatments in the US annually. The current standard care of treatments for many of these diseases have variable efficacy and serious side effects. There is increasing interest in modulating the gut microbiome using microbiome therapeutics, i.e., therapeutics comprising living bacteria, as a new generation of drugs for difficult-to-treat diseases. However, the industry currently lacks a reliable approach to systematically and cost-effectively developing effective microbiome therapeutics. Specifically, the largest barrier to microbiome therapeutic development is the lack of predictive preclinical models to translate early-stage research into drug discovery and development._x000D_ _x000D_ The proposed project seeks to address the barrier to the use of microbiome therapeutics by developing a first-of-its-kind computational platform, as the first comprehensive, computational, drug design and discovery platform. Currently, the development of microbiome therapeutics is based on a series of experimental and statistical steps that identify the potential microbial strains for target therapeutic candidates in an empirical and iterative process. As a result, this approach requires extensive iterative in vitro and in vivo experiments, which substantially increase the length and cost of the development programs. These challenges have resulted in an inefficient and unpredictable microbiome therapeutic development process, limiting the number of efficacious microbiome therapeutics that could save millions of lives worldwide. This project addresses these challenges by reliably and cost-effectively identifying therapeutic candidates for a wide range of indications. This platform could replace the current iterative and unpredictable development process in the drug discovery stage. The utility of the platform will be demonstrated by developing new therapeutic candidates for Type 2 Diabetes and validating the efficacy of these candidates in preclinical studies._x000D_ _x000D_ This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Topic Code
BT
Solicitation Number
NSF 22-552

Status
(Ongoing)

Last Modified 5/19/25

Period of Performance
6/1/23
Start Date
11/30/26
End Date
64.0% Complete

Funding Split
$1.4M
Federal Obligation
$0.0
Non-Federal Obligation
$1.4M
Total Obligated
100.0% Federal Funding
0.0% Non-Federal Funding

Activity Timeline

Interactive chart of timeline of amendments to 2228069

Transaction History

Modifications to 2228069

Additional Detail

Award ID FAIN
2228069
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
Z2H3SNX8WJ36
Awardee CAGE
7YGZ9
Performance District
CA-11
Senators
Dianne Feinstein
Alejandro Padilla

Budget Funding

Federal Account Budget Subfunction Object Class Total Percentage
Research and Related Activities, National Science Foundation (049-0100) General science and basic research Grants, subsidies, and contributions (41.0) $1,000,000 100%
Modified: 5/19/25