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Nonprofit · EIN 86-2536664

OPEN MOLECULAR SOFTWARE FOUNDATION

Tax-exempt · BERKELEY, CA 94710

Financials

$3M$2.4M2023$5.4M$5.3M2024
Revenue Expenses · by fiscal year end
Financials of OPEN MOLECULAR SOFTWARE FOUNDATION by year, from its e-filed returns
Year endedFormRevenueExpensesNet incomeTotal assetsLiabilitiesNet assets
December 31, 2024990$5,422,298$5,272,525$149,773$3,509,895$2,340,251$1,169,644
December 31, 2023990$2,997,914$2,387,305$610,609$3,046,567$1,553,910$1,492,657
Financial details: 990 for the year ended December 31, 2024

Revenue

Contributions, gifts and grants
$3,661,343
of which government grants
$867,425
Membership dues
$2,373,140
Program service revenue
$1,758,353
Investment income
$271
Other revenue
$2,331

Expenses

Grants and similar amounts paid
$1,007,681
Compensation of officers, directors and key employees
$102,098
Other salaries and wages
$1,382,179
Salaries, compensation and benefits (total)
$1,701,381
Professional fundraising fees
$0
Legal fees
$51,801
Accounting fees
$25,500
Occupancy
$172
Travel
$385,844
Program services (functional)
$4,972,344
Management and general (functional)
$300,181

Balance sheet and other

Total assets, start of year
$2,573,781
Total assets, end of year
$3,509,895
Total liabilities, end of year
$2,340,251
Net assets, end of year
$1,169,644
Net assets without donor restrictions
$517,481
Net assets with donor restrictions
$652,163
Gross receipts
$5,422,298
Employees
17
Volunteers
46
Year formed
2021
State of legal domicile
DE

From the e-filed returns the IRS publishes as XML (latest three processing years; amended returns replace the original). PDF copies at the IRS.

Officers, directors and key employees

As listed on the 990 for the year ended December 31, 2024, highest compensation first.

NameTitleHours / weekCompensationOther / benefits
Marcus WiederML Scientist40$208,101$0
Julia KoehlerProject Director40$176,313$10,365
Jennifer WeiSoftware Scientist40$140,000$8,717
Irfan AlibaySoftware Scientist40$145,061$0
David SwensonSoftware Scientist40$132,875$10,336
Karmen Condic-JurkicSec/Treas/ED
Trustee or director, Officer
40$46,667$55,431
David MobleyPresident
Trustee or director, Officer
2$0$0
Brian WeitznerDirector
Trustee or director
0.5$0$0
Clara ChristDirector
Trustee or director
0.2$0$0
Jeffrey GrayDirector
Trustee or director
0.2$0$0
990 for the year ended December 31, 2023: 8 people
NameTitleHours / weekCompensationOther / benefits
JEFFREY WAGNERSOFTWARE SCI
Highest-paid employee
40$142,520$2,977
DAVID SWENSONSOFTWARE SCI
Highest-paid employee
40$140,055$4,512
MATT THOMPSONSOFTWARE SCI
Highest-paid employee
40$134,792$4,355
KARMEN CONDIC-JURKICSEC/TREAS, E
Officer
40$92,581$0
DAVID MOBLEYPRESIDENT
Trustee or director, Officer
0.5$0$0
BRIAN WEITZNERDIRECTOR
Trustee or director
0.5$0$0
CLARA CHRISTDIRECTOR
Trustee or director
0.5$0$0
JEFFREY GRAYDIRECTOR
Trustee or director
0.5$0$0

Address and contacts

Address (IRS master file)
833 BANCROFT WAY, BERKELEY, CA 94710-2235
Principal officer (990 for 2024)
David Mobley, 200 B Street STE F, Davis, CA 95616
Signed the 990
Karmen Condic-Jurkic, Sec/Treas/ED
Phone
(707) 469-3852
Website
omsf.io
Return prepared by
Fontanello Duffield & Otake LLP

California records

California keeps its own records of charities and corporations. Search them by EIN 86-2536664 or by the name OPEN MOLECULAR SOFTWARE FOUNDATION.

Attorney General, Registry of Charities and Fundraisers
Registration status and filed reports (CT-TR-1, RRF-1)

Mission

OMSF's mission is to advance the molecular sciences through the development of high-quality, open-source tools for molecular modeling and facilitating collaboration between industry and academia.

990 for the year ended December 31, 2024

Program accomplishments

  • OMSF welcomed three new projects in 2024 OpenADMET, Alchemistry and Virtual Winter School of Computational Chemistry (VWSCC). Alchemistry and VWSCC are focused on community building efforts in the field of (bio)molecular modeling, more specifically, through organizing events for education, training and networking purposes. OpenADMET is the project with the mission to build open predictive models of safety and toxicity for small molecules to improve humanitys ability to more reliably, cheaply, and effectively treat disease, launched jointly with UCSF and Octant Bio. The OpenADMET project is funded by an ARPA-H grant (the primary awardee is UCSF). The number of staff members and core contributors continued to grow, and we had 27 staff members in 2024. OMSF successfully organized its second annual symposium in Leiden (Netherlands) and successfully gathered more than 100 attendees which included our staff members, industry partners and other members of the molecular modeling community. The list of our hosted projects, their missions and activities is provided below together with our program services and community-oriented efforts. Hosted ProjectsOpenADMETOpenADMET is an open effort to build predictive models of ADMET properties and understand the mechanisms by which they arise. This means systematically characterizing the proteins and mechanisms that give rise to these properties (protein structures and scaled functional and genetic assays), understanding how small molecules interact with these mechanisms (through high-throughput nanoscale chemistry to explore/exploit chemical space), and integrative computational models (AI/ML ligand/structural, mechanistic, and physiological modeling). OMSF is focused on AI/ML ligand and structural modeling, while UCSF and Octant Bios primary role is generation of high-quality datasets. The project was launched on Oct 1, 2024, and this effort is funded by an ARPA-H grant and Gates Foundation. More information about the project and its activities can be found on their website:https://openadmet.org/. OpenFold ConsortiumOpenFold is a non-profit AI research and development consortium developing free and open-source software tools for biology and drug discovery. OpenFolds mission is to bring the most powerful software ever created AI systems with the ability to engineer the molecules of life to everyone. These tools can be used by academics, biotech and pharmaceutical companies, or students learning to create the medicines of tomorrow, to accelerate basic biological research, and bring new cures to market that would be impossible to discover without AI. This project aims to:Collaboratively develop a permissively licensed model competitive with the performance of state-of-the-art models. Provide the entire training & inference stack and training datasets under the same permissive license Optimize the performance of this model for use on state-of-the-art and widely available GPUs. In 2024, the OpenFold Consortium started working on reproducing the AlphaFold3 model and releasing the resulting code, weights and data under permissive licenses. The consortium has grown from 10 to 14 industry members between 2023 and 2024. The list of current OpenFold members, links to software repositories and latest news about their activities can be found on their website (https://openfold.io). Open Force Field ConsortiumThe Open Force Field Consortium (OpenFF) is a network of academic and industry researchers working together to advance science and infrastructure required for building the next generation of small molecule and biomolecular force fields. The shared goal of these researchers is to develop automated and systematic data-driven techniques to parameterize and assess new generations of more accurate force fields. Software and data are released under open licensing agreements to enable rapid application, validation, extension and any kind of modification by our users and contributors. In addition, the Initiative aims to build and support a strong community of users and contributors from industry and academia. The OpenFF Sage 2.2 release delivered targeted improvements to critical pharmaceutical chemistries. Independent validation demonstrated that OpenFF outperforms leading commercial packages on challenging BACE1 scaffold-hopping transformations, confirming the force field's competitive accuracy. A major new feature is the preview release of a graph neural network model for ultra-fast, conformation-independent charge assignment that operates 10-100x faster than traditional methods with improved accuracy and elimination of conformer-dependent errors. This method scales seamlessly to large biomolecules including proteins and polymers, enabling self-consistent parameterization across all molecular types including non-natural amino acids. Infrastructure development released the production-ready Alchemiscale platform completing over 100,000 binding free energy calculations on free academic compute resources and being adopted extensively by OpenFF, OpenFE, and the ASAP Antiviral Drug Discovery Consortium for routine force field testing. The YAMMBS automated benchmarking system enabled testing of 75+ different force field fits over the past year while identifying and correcting systematic errors through continuous validation of molecular geometries and energetics. Significant progress was made toward the self-consistent protein + small molecule force field ("Rosemary"), with the team generating requisite peptide quantum chemical data and achieving performance matching AMBER ff14SB on specific benchmarks; a recent breakthrough in fitting strategy using trajectory reweighting has dramatically accelerated progress, putting the release on track for the upcoming project year to enable truly accurate protein-ligand binding with fully consistent parameterization. Additional technical developments included completion of virtual site infrastructure, advancement of automated chemical perception using BESMARTS for data-driven typing decisions, development of a direct polarizability model (AM1-BCC-dPol), biopolymer loading infrastructure for diverse polymers and materials applications, and maintenance of stable toolkit API enabling consistent workflow integration. The team also significantly enhanced documentation with centralized examples and live demonstration sessions that showcase the ease and versatility of OpenFF tools. Open Force Field had 17 industry members in 2024. You can find more information about the Consortiums activities, members, resulting publications and software repositories on their website: https://openforcefield.org.Open Free Energy ConsortiumOpen Free Energy Consortium (OpenFE) provides essential tools for drug discovery and design, supporting free energy calculations that are robust and scalable without commercial license fees. OpenFE bridges a gap in the landscape of free energy simulation software, developing stable, reliable, and openly licensed software. The project's flagship accomplishment was the launch of openfe v1.0 in April 2024, marking the first stable release with guaranteed maintenance of functionality and behavior. Validation efforts demonstrated promising accuracy, with partner testing showing comparable performance to industry-standard proprietary methods across 12 transformations, while a comprehensive benchmarking study successfully evaluated 211 ligands across 9 diverse protein systems. Major technical developments expanded the toolkit's capabilities to include charge-changing transformations between ligands with different net charges, core atom element changes, spectator molecule support for cofactors, and automated post-simulation analysis for identifying problematic calculations through energetics and structural assessments. Significant usability improvements included comprehensive documentation redesign, enhanced CLI tools for streamlined network planning and results gathering, tutorial development, and a remarkable 10-60x performance improvement in the LOMAP atom mapping tool. A critical achievement involved identifying and addressing a major AmberTools partial charge assignment bug that was causing large variability in free energy predictionsthe team traced this issue to inconsistent conformer selection across different computing environments and unstable partial charge assignments, then worked collaboratively with upstream developers to implement fixes that benefit the entire computational chemistry community. In 2023, Open Free Energy had 17 industry partners. The list of OpenFE products, industry partners, and software repositories can be found on their website: https://openfree.energy. Open RosettaOpen Rosetta is the project exploring the transition pathways for the Rosetta Commons to an open source model under the OMSF umbrella, with the initial focus on the community building efforts and new developments. The Rosetta Commons are a community of over 100 labs worldwide who coll
    Expenses $4,972,344 · grants $1,007,681

What it must file and when

IRS records say it files Form 990 or 990-EZ. Based on its last return; a smaller organization may file the 990-N. Its accounting year ends in December, so each return is due on the 15th day of the 5th month after that.

Tax yearYear endedDueIRS public records
2025December 31, 2025May 15, 2026Not on file
2024December 31, 2024May 15, 2025990 on file
2023December 31, 2023May 15, 2024990 on file

IRS record

EIN
86-2536664
Tax-exempt status
501(c)(3): Charitable, religious, educational or scientific organization
Foundation status
Publicly supported organization (509(a)(2))
Donations deductible (Pub 78)
Public charity, 50% deduction limit
Exempt since
2022
Accounting year ends
December
Files
Form 990 or 990-EZ
Assets (IRS master file)
$3,509,895
Income (IRS master file)
$5,422,298

Filing history

FormYear endedRevenueExpensesAssetsReturn
990December 2024$5,422,298$5,272,525$3,509,895XML
990December 2023$2,997,914$2,387,305$3,046,567XML
990December 2022$1,555,132$1,191,367$2,099,223IRS
990December 2021–––IRS

990-N: the IRS bulk file holds only the latest e-Postcard per organization; earlier years come from archived copies of that file since 2020 and can have gaps (the IRS e-Postcard search lists every one). 990, 990-EZ, 990-PF, 990-T: every e-filed return in the IRS e-file index since 2019; XML for the latest three processing years, amounts from the IRS Statistics of Income extracts before that. PDF copies and determination letters at the IRS (search EIN 86-2536664).

Questions about OPEN MOLECULAR SOFTWARE FOUNDATION

What is the EIN of OPEN MOLECULAR SOFTWARE FOUNDATION?
The employer identification number (EIN) of OPEN MOLECULAR SOFTWARE FOUNDATION is 86-2536664.
Is OPEN MOLECULAR SOFTWARE FOUNDATION tax-exempt?
Yes. The IRS lists it as tax-exempt under section 501(c)(3) since 2022.
Are donations to OPEN MOLECULAR SOFTWARE FOUNDATION tax-deductible?
Yes. It is listed in IRS Publication 78 (Public charity, 50% deduction limit).
Which annual return does OPEN MOLECULAR SOFTWARE FOUNDATION file?
Form 990 or 990-EZ. Based on its last return; a smaller organization may file the 990-N.
When is the next return of OPEN MOLECULAR SOFTWARE FOUNDATION due?
The return for tax year 2025 (the year ending December 31, 2025) is due May 15, 2026. Form 8868 extends it by six months; the 990-N cannot be extended.
When did OPEN MOLECULAR SOFTWARE FOUNDATION last file with the IRS?
The latest return in the IRS public files is the 990 for the year ended December 2024.
Who is the principal officer of OPEN MOLECULAR SOFTWARE FOUNDATION?
The 990 for the year ended December 31, 2024 names David Mobley.
Who are the officers and directors of OPEN MOLECULAR SOFTWARE FOUNDATION?
The 990 for the year ended December 31, 2024 lists 10 people; 6 received compensation from the organization, the highest $208,101 (Marcus Wieder, ML Scientist).
How much revenue does OPEN MOLECULAR SOFTWARE FOUNDATION have?
On its 990 for the year ended December 31, 2024 it reported revenue of $5,422,298, expenses of $5,272,525 and total assets of $3,509,895 at year end.

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