• Partner With Us
  • Focus Areas
    • Cause Selection
    • Global Health & Wellbeing
      • Abundance & Growth
      • Effective Giving & Careers
      • Farm Animal Welfare
      • Global Aid Policy
      • Global Health & Development
      • Global Health R&D
      • Global Public Health Policy
      • Scientific Research
    • Global Catastrophic Risks
      • Biosecurity & Pandemic Preparedness
      • Forecasting
      • Global Catastrophic Risks Capacity Building
      • Potential Risks from Advanced AI
    • Other Areas
      • History of Philanthropy
  • Grants
  • Research & Updates
    • Blog Posts
    • In the News
    • Research Reports
    • Notable Lessons
  • About Us
    • Grantmaking Process
    • How to Apply for Funding
    • Careers
    • Team
    • Operating Values
    • Stay Updated
    • Contact Us
  • Partner With Us
  • Focus Areas
    • Cause Selection
    • Global Health & Wellbeing
      • Abundance & Growth
      • Effective Giving & Careers
      • Farm Animal Welfare
      • Global Aid Policy
      • Global Health & Development
      • Global Health R&D
      • Global Public Health Policy
      • Scientific Research
    • Global Catastrophic Risks
      • Biosecurity & Pandemic Preparedness
      • Forecasting
      • Global Catastrophic Risks Capacity Building
      • Potential Risks from Advanced AI
    • Other Areas
      • History of Philanthropy
  • Grants
  • Research & Updates
    • Blog Posts
    • In the News
    • Research Reports
    • Notable Lessons
  • About Us
    • Grantmaking Process
    • How to Apply for Funding
    • Careers
    • Team
    • Operating Values
    • Stay Updated
    • Contact Us

University of Washington — Universal Flu Vaccine and Computational Protein Design (David Baker and Neil King)

Visit Grantee Site
  • Portfolio Area: Scientific Innovation: Tools and Techniques
  • Focus Area: Scientific Research
  • Organization Name: University of Washington (Institute for Protein Design)
  • Amount: $11,367,500

  • Award Date: November 2017

Table of Contents

    An IPD researcher using Rosetta protein design software. (Photo courtesy of IPD, credit: Conrado Tapado)
    Organization Name: University of Washington (Institute for Protein Design)
    Award Date: 11/2017
    Grant Amount: $11,367,500
    Purpose: To support research by Professor David Baker and collaborators on the development of a universal flu vaccine, and to support improved methods for computational design of proteins to treat disease.

    Grant Investigators: Chris Somerville and Heather Youngs

    This page was reviewed but not written by the grant investigators. IPD staff also reviewed this page prior to publication.

    The Open Philanthropy Project recommended a grant of $11,367,500 over five years to the University of Washington’s Institute for Protein Design (IPD) to support research on the use of computational protein design to develop a universal influenza vaccine. This work will be led by UW Professor David Baker, Ph.D., and UW Assistant Professor Neil King, Ph.D. In addition, part of this funding is intended to improve the Rosetta molecular modeling and design software originally developed in Baker’s lab. UW Assistant Professor Frank DiMaio, Ph.D., and others will work to improve Rosetta to better predict the properties of proteins, which we believe could lead to many helpful applications in both human and animal health, such as facilitating faster creation of antiviral therapies in the event of a pandemic outbreak.

    The cause

    Developing a “universal” influenza vaccine has been a long-standing goal of the infectious disease community. Influenza causes an estimated 290,000 – 650,000 deaths each year,1 in addition to carrying pandemic risks, such as the 1918 flu pandemic, which may have killed more than 50 million people. There can be up to 36 million cases of influenza annually in the United States alone, costing the U.S. economy an estimated $87 billion in medical expenses and lost productivity.2

    A universal vaccine would protect against all of the many genetic variants of influenza, thereby substantially reducing or eliminating annual deaths associated with the virus, as well as mitigating or even potentially eliminating the risk of influenza pandemics. By administering a universal vaccine early in life, immunity could reach a majority of the world population and potentially eliminate the need for the “seasonal” flu vaccine, thereby reducing the costs and uncertainty associated with current annual influenza vaccination practices.

    We are most interested in supporting this work due to its potential to reduce illness and mortality from influenza, as well as the potential to prevent future harm from influenza pandemics. The grant therefore falls within both our scientific research funding category, and our biosecurity and pandemic preparedness focus area.

    About the grant

    The researchers

    The project will be led by Dr. David Baker,3 director of the University of Washington’s Institute for Protein Design, founded in 2012. We consider Dr. Baker and his team exceptionally well-qualified to accomplish the universal influenza vaccine design.

    Dr. Baker and colleagues will also collaborate with Dr. Barney Graham, deputy director of the National Institute of Allergy and Infectious Diseases’ (NIAID) Vaccine Research Center and chief of the Viral Pathogenesis Laboratory at NIAID. Dr. Graham and his colleagues will be responsible for overseeing evaluation of the safety, immunogenicity, and protective capacity of the universal flu vaccine. NIAID is one of the institutes within the National Institutes of Health, which is funding Dr. Graham’s work.

    Proposed activities

    There are two goals associated with this grant: producing a universal influenza vaccine and improving the Rosetta molecular design and computational chemistry software to better predict properties of proteins.

    • Goal 1: Develop a universal flu vaccine Dr. Baker and his collaborators will test the hypothesis that immunizing with computationally designed, self-assembling protein nanoparticles displaying highly conserved “epitopes” (fragments of proteins from the flu virus) from all known types of influenza viruses will induce expression of broadly neutralizing antibodies that limit the severity of disease symptoms. Although very rare, such antibodies have been preserved for research after being identified in the serum of people who have previously been infected with influenza virus. When the corresponding genes were expressed in transgenic mice, the antibodies protected the mice against all flu viruses tested.4 We consider this evidence that the approach may work, but we expect the challenge to be developing methods to routinely induce such antibodies with a vaccine in humans. Drs. Baker and King previously used a somewhat similar approach to produce broadly neutralizing antibodies against the respiratory syncytial virus (RSV), which we consider a partial proof of principle. However, because RSV is less variable than influenza, there were fewer challenges to producing that vaccine candidate. Our assessment is that there is an acceptable probability that the proposed experiments will produce a useful flu vaccine that is better than anything currently available.
    • Goal 2: Improve the Rosetta molecular design and computational chemistry software to better predict properties of proteins Dr. Baker’s approach to Goal 1 has recently become possible because, during the past several decades, his team and other leading protein chemistry groups have systematically developed sophisticated algorithms that use information about the chemical and physical properties of molecules to facilitate the design and production of proteins with desired three-dimensional structures. This “ab initio” (or “from the beginning”) design approach has made progress but sometimes fails to predict the correct protein structure because some aspects of protein chemistry are not yet completely understood. It is also difficult to make such proteins in a way that accurately resembles the natural three-dimensional structure in the virus, something crucial to a protein’s normal function (for example, generating a robust immune response). Thus, additional research is needed to fully realize the long-term goal of routinely being able to design novel proteins for a wide variety of uses in medicine and industrial applications. Some of this grant funding will therefore support experiments that may facilitate improvements in the ability of the Rosetta software to predict the properties of proteins from their amino acid sequences. Of particular interest, we envision that in the future it may be possible to rapidly design new vaccines or antiviral drugs from the nucleic acid sequences of a new pathogen and to design vaccines that induce immunity against all strains of a pathogen in a relatively short period of time. Drs. Baker and DiMaio have proposed a series of experiments that are designed to improve the predictive power of Rosetta. In brief, they will expand their work in computationally designing self-folding protein scaffolds with shapes customized for applications including binding small molecules and other proteins. They will then systematically synthesize, test, and redesign until the desired properties are achieved. Dr. Baker believes (and we concur) that this approach has a high probability of leading to improvements in our ability to design proteins. We see this approach as timely because it will potentially generate enough information to take advantage of the power of deep learning algorithms to understand protein structure and function. This work is related to Goal 1 above because one of Dr. Baker’s goals is to be able to design therapeutic candidates within weeks of determination of the viral sequence in the event of a viral pandemic outbreak. Therefore, the results are expected to be of general utility. We consider Dr. Baker’s previous work constructing small geometric protein nanoparticles to be particularly suited to mimicking viral structure and antigen presentation.

    Sources

    DOCUMENT SOURCE
    IPD, David Baker Bio, January 2018 [archive only] Source
    Nature Biotechnology, Broad protection against influenza infection by vectored immunoprophylaxis in mice, 2013 Source (archive)
    Time, Our Complacency About the Flu is Killing Us, 2018 Source (archive)
    World Health Organization Fact Sheet, 2018 Source (archive)
    Expand Footnotes Collapse Footnotes

    1.“Illnesses range from mild to severe and even death. Hospitalization and death occur mainly among high risk groups. Worldwide, these annual epidemics are estimated to result in about 3 to 5 million cases of severe illness, and about 290 000 to 650 000 deaths.” World Health Organization Fact Sheet, 2018

    2.“In the worst years, in the U.S. alone, seasonal flu causes up to 36 million infections, three-quarters of a million hospitalizations and 56,000 deaths … Annual funding to find a universal vaccine has never approached even $100 million a year, even as the seasonal flu has cost the U.S. economy an estimated $87 billion a year.” Time, Our Complacency About the Flu is Killing Us, 2018

    3.Archived copy of link: IPD, David Baker Bio, January 2018 [archive only]

    4.From the abstract “Neutralizing antibodies that target epitopes conserved among many strains of influenza virus have been recently isolated from humans. Here we demonstrate that adeno-associated viruses (AAV) encoding two such broadly neutralizing antibodies are protective against diverse influenza strains. Serum from mice that received a single intramuscular AAV injection efficiently neutralized all H1, H2 and H5 influenza strains tested. After infection with diverse strains of H1N1 influenza, treated mice showed minimal weight loss and lung inflammation. Protection lasted for at least 11 months after AAV injection. Notably, even immunodeficient and older mice were protected by this method, suggesting that expression of a monoclonal antibody alone is sufficient to protect mice from illness. If translated to humans, this prophylactic approach may be uniquely capable of protecting immunocompromised or elderly patient populations not reliably protected by existing vaccines.” Nature Biotechnology, Broad protection against influenza infection by vectored immunoprophylaxis in mice, Balazs, AB., et al (2013)

    Related Items

    • Scientific Innovation: Tools and Techniques

      Harvard University — Fluorescent Imaging for In Vivo Monitoring

      Open Philanthropy recommended a grant of $974,132 over two years to Harvard University to support the development of a camera system that can measure live fluorescent bacteria on...

      Read more
    • Scientific Innovation: Tools and Techniques

      University of California, Los Angeles – Social Science Genetic Association Consortium (2023)

      Open Philanthropy recommended a grant of $1,500,000 to the University of California, Los Angeles, to support the Social Science Genetic Association Consortium (SSGAC). This follows our September 2020 support and...

      Read more
    • Scientific Innovation: Tools and Techniques

      New York University — Social Science Genetic Association Consortium (2023)

      Open Philanthropy recommended a grant of $1,000,000 to New York University to support the Social Science Genetic Association Consortium (SSGAC). This follows our September 2020 support and falls within our...

      Read more
    Back to Grants Database
    Open Philanthropy
    Open Philanthropy
    • We’re Hiring!
    • Press Kit
    • Governance
    • Privacy Policy
    • Stay Updated
    Mailing Address
    Open Philanthropy
    182 Howard Street #225
    San Francisco, CA 94105
    Email
    info@openphilanthropy.org
    Media Inquiries
    media@openphilanthropy.org
    Anonymous Feedback
    Feedback Form

    © Open Philanthropy 2025 Except where otherwise noted, this work is licensed under a Creative Commons Attribution-Noncommercial 4.0 International License.

    We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.
    Cookie SettingsAccept All
    Manage consent

    Privacy Overview

    This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
    Necessary
    Always Enabled
    Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
    CookieDurationDescription
    cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
    cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
    cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
    cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
    cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
    viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
    Functional
    Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
    Performance
    Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
    Analytics
    Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
    Advertisement
    Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
    Others
    Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
    SAVE & ACCEPT