ONHS Report: W911SR-25-S-GUIDE

Generative Unconstrained Intelligence Drug Engineering (GUIDE) collaboration between U.S. interagency, academic and industry partners

Solicitation ID: W911SR-25-S-GUIDE

Agency: JPEO-CBRND/JPL-CBRND-EB

Type: Special Notice

Deadline: 2028-10-18T12:00:00 ET

Eligibility: Maybe (OTA/Consortium)

Funding: N/A

Doc Type: PS

Clearance: No

Program Manager: Richard Totten

Last Updated: 2025-11-24 13:17

Analyzed File: API_Description.txt

Eligibility Reasoning

GUIDE is a collaboration between U.S. interagency, academic and industry partners... The GUIDE Program will be carried out under the terms of a Participant Basic Agreement (PBA)... Projects awarded resulting from participation in the GUIDE Program may be awarded under authority 10 U.S.C. 4022 and 10 U.S.C. 4023.

Note: This is an AI-generated summary...

Summary

[Analyzed from API Fallback] The Joint Project Lead Chemical, Biological, Radiological, and Nuclear Defense Enabling Biotechnologies (JPL-CBRND-EB) is seeking U.S. interagency, academic, and industry partners for the Generative Unconstrained Intelligence Drug Engineering (GUIDE) program. GUIDE is an integrated computational and experimental platform that utilizes advanced simulation and machine learning to accelerate the design and discovery of medical countermeasures, including biological products (e.g., monoclonal antibodies, vaccines) and small molecule drugs. The platform's goal is to simultaneously optimize for safety, efficacy, manufacturability, and pharmacokinetics. Interested parties with technical relevance in Medical Countermeasure development are invited to request participation to establish a Participant Basic Agreement (PBA), with potential project awards made under 10 U.S.C. 4022 and 10 U.S.C. 4023, outside of standard FAR regulations.

Overall Technical Areas

Generative AI / Machine LearningComputational Drug DesignAdvanced Simulation & ModelingMedical Countermeasure DevelopmentSmall Molecule Drug DiscoveryBiologics Product DesignMonoclonal Antibody EngineeringVaccine Design & DevelopmentPharmacokinetics/Pharmacodynamics (PK/PD) ModelingBiophysical Properties ModelingDrug Manufacturability AssessmentDrug Safety & Efficacy ModelingDrug Repurposing StrategiesCBRN Defense Biotechnology

Probable LBNL Areas

BSACSAESAETAPSA

Focus Areas

Example Priorities:

Generative Unconstrained Intelligence Drug Engineering (GUIDE) is an integrated computational and experimental platform designed to accelerate medical countermeasure development.
GUIDE harnesses the power of advanced simulation and machine learning to enable preparedness and facilitate rapid response to protect the warfighter from a diverse and dynamic threat space.

Specific Technical Skills:

Generative AIMachine LearningComputational BiologyMolecular SimulationDrug DesignBioinformaticsHigh-Performance ComputingPlatform Development

Potential PIs for this Area:

Name	Score	Organization
Silvia Crivelli	0.73	CSA \| AMCR \| Computer Science
Muaaz Gul Awan	0.73	CSA \| NERSC \| Sci Eng & Workflows Department
Gazi Mahmud	0.72	BSA \| Environmental Genomics & Systems Biology \| Molecular Ecosystems Bio
Xiaoya Chong	0.72	ESA \| ALS \| PS Computing staff
Dhruva Kulkarni	0.72	CSA \| NERSC \| Sci Eng & Workflows Department
Alexander Sim	0.71	CSA \| SciData \| Data Science Research
Samuel Blau	0.71	ETA \| ESDR \| Energy Storage & Dist Dpt
Shashank Subramanian	0.71	CSA \| NERSC \| Sci Eng & Workflows Department
Brandon Cook	0.71	CSA \| NERSC \| HPC Technology Department
Zhong Wang	0.71	BSA \| DOE Joint Genome Institute \| Data Science & Informatics

Example Priorities:

JPL EB has the mission to accelerate the delivery of medical countermeasures to the warfighter through the development and implementation of platform systems.
GUIDE impacts the discovery and design of biological products (e.g., monoclonal antibodies and vaccines) as well as small molecule drugs...

Specific Technical Skills:

ImmunologyVaccinologyMonoclonal Antibody EngineeringSmall Molecule ChemistryBiodefensePharmacologyVirologyCBRN Defense

Potential PIs for this Area:

Name	Score	Organization
Jayson Vavrek	0.67	PSA \| NSD \| ANP
Thomas Eng	0.67	BSA \| Biological Systems & Engineering \| Biodesign Dept
Jenny Onley	0.66	BSA \| Environmental Genomics & Systems Biology \| Molecular Ecosystems Bio
Jennifer Doudna	0.66	BSA \| Molecular Biophysics & Integrated Bioimaging \| Structural Biology Dept
Gang Ren	0.66	ESA \| MF \| MF Image and Manipulation
Bryan Mccloskey	0.66	ETA \| ESDR \| Energy Storage & Dist Dpt
Aeron Tynes Hammack	0.66	ESA \| MF \| MF Nanofabrication Facility
Phillip Messersmith	0.66	ESA \| MSD \| Material Physics
Aindrila Mukhopadhyay	0.66	BSA \| Biological Systems & Engineering \| Biodesign Dept
Eileen Dawson	0.66	CSA \| AMCR \| Computer Science

Example Priorities:

GUIDE impacts the discovery and design of biological products... by simultaneously optimizing critical quality attributes of safety, efficacy, manufacturability and pharmacokinetics/pharmacodynamics while concurrently accounting for critical design attributes affecting developability and biophysical properties.

Specific Technical Skills:

Pharmacokinetics (PK)Pharmacodynamics (PD)CMC (Chemistry, Manufacturing, and Controls)Biophysical AnalysisDevelopability AssessmentToxicologySafety and Efficacy ModelingMulti-Objective Optimization

Potential PIs for this Area:

Name	Score	Organization
Eileen Dawson	0.69	CSA \| AMCR \| Computer Science
Thomas McKone	0.69	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Chang Dou	0.68	BSA \| Biological Systems & Engineering \| Process Engr & Analytics
Thomas Hendrickson	0.68	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Peng Peng	0.68	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Prakash Rao	0.67	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Rohan Adwankar	0.67	BSA \| Biological Systems & Engineering \| Process Engr & Analytics
Jennifer Stokes-Draut	0.67	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Oluwamayowa Amusat	0.67	CSA \| SciData \| Data Science Applications
Grigory Tikhomirov	0.67	PSA \| PHY \| Detector Development

Potential LBNL PIs (Overall)

Note on PI Matching: These suggestions are generated through an AI-driven semantic analysis of LBNL staff profiles.

Name	Score	Organization
William Fawley	0.76	PSA \| ATAP \| Advanced Modeling Prog · Advanced Simulation & Modeling
Mohammad Kaazem Pur Mofrad	0.75	BSA \| Molecular Biophysics & Integrated Bioimaging \| Structural Biology Dept · Biophysical Properties Modeling
Zhi Jackie Yao	0.75	CSA \| AMCR \| Applied Mathematics · Advanced Simulation & Modeling
Banumathi Sankaran	0.75	BSA \| Molecular Biophysics & Integrated Bioimaging \| Structural Biology Dept · Biologics Product Design
Harshini Mukundan	0.75	LD \| LD \| ONHS · CBRN Defense Biotechnology
Maciej Haranczyk	0.74	CSA \| AMCR \| Computer Science · Computational Drug Design
Kanupriya Pande	0.74	BSA \| Molecular Biophysics & Integrated Bioimaging \| Structural Biology Dept · Monoclonal Antibody Engineering
Eric Chagnon	0.73	CSA \| AMCR \| Mathematics · Generative AI / Machine Learning
Zixi Hu	0.73	CSA \| AMCR \| Mathematics · Drug Safety & Efficacy Modeling
Hyun-Ro Lee	0.73	BSA \| Molecular Biophysics & Integrated Bioimaging \| Cellular & Tissue Image · Drug Manufacturability Assessment

Fundamental Research Exemption (FRE)

Not Mentioned