R21TR004938
Project Grant
Overview
Grant Description
AI/ML AND IPSC-DERIVED ORGANOIDS FOR MYOTONIC DYSTROPHY DRUG DISCOVERY - PROJECT SUMMARY/ABSTRACT
Drug discovery for rare diseases is often limited by the lack of relevant preclinical models that adequately capture the complexity and diversity of patients affected. Furthermore, clinical trials are burdened with challenges in patient recruitment and stratification to assess the safety and efficacy of a drug candidate.
The ability to use in vitro cellular data for efficacy assessment will create drug development opportunities for rare diseases that were previously considered too challenging due to the small number of patients. To enable the use of data from relevant cellular models to replace, reduce or refine clinical trials for rare diseases, this proposal will leverage human induced pluripotent stem cells (IPSCs), a well-established tool for patient-specific and disease-specific modeling in vitro, to advance the concept of “clinical trial in a dish” to accelerate, de-risk, and streamline drug discovery for rare diseases.
Additionally, we combine IPSC technology with artificial intelligence and machine learning (AI/ML) to discover novel therapeutic compounds that are predicted to have significantly improved safety and efficacy. Here, we leverage our expertise in myotonic dystrophy type 1 (DM1) as a rare disease with unmet needs to apply our IPSC-AI/ML drug discovery platform.
DM1 is a monogenic rare disease affecting nearly 1 in 2,100 in the general population and is the most common adult form of muscular dystrophy. It is a progressive multi-systemic disease with cardiovascular complications being the second leading cause of death behind respiratory failure.
To date, there is no treatment for the heart in DM1 and no pharmacological treatments available for the prevalent arrhythmias. The main standard of care for DM1 patients at risk of arrhythmias and sudden cardiac death is an implantable cardioverter defibrillator (ICD).
Specific Aim 1 will utilize AI/ML to identify safe and novel compounds with high binding affinity to RNA structures formed by expanded CUG repeats in the RNA from the DMPK gene, which is the underlying cause of the disease. Specific Aim 2 will then evaluate these drugs in IPSC-derived cardiac organoids and in DM1 mouse model.
The outcome of this project will inform the development of general standards, quality control criteria, and best practices for in vitro models to be used for rare disease safety and efficacy assessment for clinical trial readiness.
Drug discovery for rare diseases is often limited by the lack of relevant preclinical models that adequately capture the complexity and diversity of patients affected. Furthermore, clinical trials are burdened with challenges in patient recruitment and stratification to assess the safety and efficacy of a drug candidate.
The ability to use in vitro cellular data for efficacy assessment will create drug development opportunities for rare diseases that were previously considered too challenging due to the small number of patients. To enable the use of data from relevant cellular models to replace, reduce or refine clinical trials for rare diseases, this proposal will leverage human induced pluripotent stem cells (IPSCs), a well-established tool for patient-specific and disease-specific modeling in vitro, to advance the concept of “clinical trial in a dish” to accelerate, de-risk, and streamline drug discovery for rare diseases.
Additionally, we combine IPSC technology with artificial intelligence and machine learning (AI/ML) to discover novel therapeutic compounds that are predicted to have significantly improved safety and efficacy. Here, we leverage our expertise in myotonic dystrophy type 1 (DM1) as a rare disease with unmet needs to apply our IPSC-AI/ML drug discovery platform.
DM1 is a monogenic rare disease affecting nearly 1 in 2,100 in the general population and is the most common adult form of muscular dystrophy. It is a progressive multi-systemic disease with cardiovascular complications being the second leading cause of death behind respiratory failure.
To date, there is no treatment for the heart in DM1 and no pharmacological treatments available for the prevalent arrhythmias. The main standard of care for DM1 patients at risk of arrhythmias and sudden cardiac death is an implantable cardioverter defibrillator (ICD).
Specific Aim 1 will utilize AI/ML to identify safe and novel compounds with high binding affinity to RNA structures formed by expanded CUG repeats in the RNA from the DMPK gene, which is the underlying cause of the disease. Specific Aim 2 will then evaluate these drugs in IPSC-derived cardiac organoids and in DM1 mouse model.
The outcome of this project will inform the development of general standards, quality control criteria, and best practices for in vitro models to be used for rare disease safety and efficacy assessment for clinical trial readiness.
Awardee
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Palo Alto,
California
943041250
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 175% from $110,000 to $302,500.
Greenstone Biosciences was awarded
Project Grant R21TR004938
worth $302,500
from National Center for Advancing Translational Sciences in June 2024 with work to be completed primarily in Palo Alto California United States.
The grant
has a duration of 2 years and
was awarded through assistance program 93.350 National Center for Advancing Translational Sciences.
The Project Grant was awarded through grant opportunity Clinical Trial Readiness for Rare Diseases, Disorders, and Syndromes (R21 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 11/20/25
Period of Performance
6/1/24
Start Date
5/31/26
End Date
Funding Split
$302.5K
Federal Obligation
$0.0
Non-Federal Obligation
$302.5K
Total Obligated
Activity Timeline
Transaction History
Modifications to R21TR004938
Additional Detail
Award ID FAIN
R21TR004938
SAI Number
R21TR004938-4223656425
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Small Business
Awarding Office
75NR00 NIH National Center for Advancing Translational Sciences
Funding Office
75NR00 NIH National Center for Advancing Translational Sciences
Awardee UEI
ETE2HHEYPAV7
Awardee CAGE
9CZA7
Performance District
CA-16
Senators
Dianne Feinstein
Alejandro Padilla
Alejandro Padilla
Modified: 11/20/25