Machine learning-enabled design of prototype pathogen vaccines and antibodies

Active Cooperative Agreement Awarded Last action

Award ID
U19AI181881
Recipient
Awarding agency
Obligated
$41,075,241

Award facts

Assistance listing
93.855 Allergy and Infectious Diseases Research
Completion date 74% complete
Place of performance
Washington, USA

Award details come from USAspending.gov.

Description

As the agency reported it.

Abstract
Overall: machine learning-enabled design of prototype pathogen vaccines and antibodies we propose a highly synergistic center focused on developing end-to-end strategies for pandemic preparedness vaccine development for bunyaviruses and paramyxoviruses. Our center brings together five research institutions with complementary and synergistic expertise in computational protein design, structure-based vaccine design, mrna vaccines, structural biology, viral entry, viral diversity and evolution, animal model development, high biosafety-level containment virology, vaccinology, and vaccine process development and technology transfer. Our team has real-world experience in vaccine and biologics product development in both academic and industry settings. Our center comprises five scientific projects supported by three scientific cores, an administrative core, and a data management core. Our scientific projects include: 1) development of computational methods for vaccine and biologics design, 2) fundamental research on viral entry and receptors, 3) antigen design, 4) protein nanoparticle vaccine development, and 5) mrna vaccine development. We will structure our efforts in two phases: in phase 1 (years 1-3) we will focus on developing vaccines for our prototype pathogens and in phase 2 (years 4-5) we will apply those learnings to two new bunyaviruses and two new paramyxoviruses to demonstrate that our computational and experimental approaches generalize across viral families. Our prototype pathogens are: lassa virus (lasv; arenaviruses), rift valley fever virus (rvfv; phenuiviruses), and hendra virus (HEV; paramyxoviruses). We carefully selected our prototypes as we believe they present specific vaccine design challenges which, if we are successful in solving, will facilitate the development of vaccines against related viruses. Simultaneously, the antigens from viruses in these three families have some similarities that will give rise to synergies in our design approaches. The structure of our center will allow maximal synergy between our groups in pursuit of its central output: to define generalizable approaches and tools to develop vaccines and biologics for emerging pathogens with pandemic potential.

Transactions

Action Obligated Date
Amendment $0
Original award $41,075,241

Subawards

Subrecipient Amount Awarded
The Henry M. Jackson Foundation For The Advancement Of Military Medicine, Inc. Machine learning-enabled design of prototype pathogen vaccines and antibodies. $413,713
University Of Texas Medical Branch At Galveston $2,307,872
Benaroya Research Institute At Virginia Mason $466,801
Washington State University $89,127
Benaroya Research Institute At Virginia Mason $79,607
University Of Texas Medical Branch At Galveston $3,756,208
The Henry M. Jackson Foundation For The Advancement Of Military Medicine, Inc. $409,221
Benaroya Research Institute At Virginia Mason $455,049
Fred Hutchinson Cancer Center $835,506
The Henry M. Jackson Foundation For The Advancement Of Military Medicine, Inc. $541,538
University Of Texas Medical Branch At Galveston Machine learning-enabled design of prototype pathogen vaccines and antibodie. $1,040,688
Benaroya Research Institute At Virginia Mason Machine learning-enabled design of prototype pathogen vaccines and antibodies. $455,049
Fred Hutchinson Cancer Center $835,506
Show all 13

Quick answers

Who received award U19AI181881?

U19AI181881 was awarded to University Of Washington by National Institute of Allergy and Infectious Diseases (National Institutes of Health) on August 12, 2024.

How much is award U19AI181881 worth?

$41,075,241 has been obligated on U19AI181881.

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