Evidence map›Paper›PMID 41805121›Full record

ReviewJournal of chemical information and modeling2026

The Open Molecular Software Foundation (OMSF) and the Growing Role of Open Source Software in Molecular Modeling.

Karmen Čondić-Jurkić, Irfan Alibay, Woody Sherman, Mallory R Tollefson, W Patrick Walters, Zachary Baker, Lillian T Chong, Jennifer N Wei, Jeffrey Gray, Brian D Weitzner and 4 more

Abstract readReview
In one paragraph

Review in Journal of chemical information and modeling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Karmen Čondić-JurkićOpen Molecular Software Foundation, Davis, California 95616, United States.
Irfan AlibayOpen Molecular Software Foundation, Davis, California 95616, United States.ORCID 0000-0001-5787-9130
Woody ShermanPsithera, 66 Galen Street, Watertown, Massachusetts 02472, United States.
Mallory R TollefsonOpen Molecular Software Foundation, Davis, California 95616, United States.ORCID 0000-0002-4750-5554
W Patrick WaltersOpen Molecular Software Foundation, Davis, California 95616, United States.ORCID 0000-0003-2860-7958
Zachary BakerOpen Molecular Software Foundation, Davis, California 95616, United States.
Lillian T ChongDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.ORCID 0000-0002-0590-483X
Jennifer N WeiOpen Molecular Software Foundation, Davis, California 95616, United States.ORCID 0000-0003-3567-9511
Jeffrey GrayDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0001-6380-2324
Brian D WeitznerOutpace Bio, Seattle, Washington 98109, United States.
Daniel G A SmithAchira, 548 Market Street, PMB 308207, San Francisco, California 94114, United States.
Julia Koehler LemanOpen Molecular Software Foundation, Davis, California 95616, United States.
Chris BahlAI Proteins, Boston, Massachusetts 02215, United States.
David L MobleyOpen Molecular Software Foundation, Davis, California 95616, United States.ORCID 0000-0002-1083-5533

Funding

Prediction of the Structures of Protein ComplexesR35GM141881 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI JEFFREY J GRAY · 2021 to 2026
$7.6M
Open data-driven infrastructure for building biomolecular force fields for predictive biophysics and drug designR01GM132386 · NIGMS · UNIVERSITY OF COLORADO · PI SHIRTS, MICHAEL R · 2020 to 2023
$3.1M
NIGMS NIH HHS R01 GM132386NIGMS NIH HHS R35 GM141881
6 · The paper itself

Abstract

The increasing importance and predictive power of modern molecular modeling, driven by physics- and machine-learning-based methods, necessitates a new collaborative architecture to replace the isolated, traditional model of software development. The traditional approach often led to redundant engineering effort, high costs, and opaque systems that limit reproducibility, independent scrutiny, and scientific independence. Additionally, it results in taxpayer-funded research being left siloed in commercial tools where it cannot have as much impact as if it were returned to the general public. This Perspective advocates for permissively licensed open source software as a scientific and economic multiplier by reducing the duplication of effort and enabling scientific validation of modeling tools and frictionless experimentation with new ideas. Coordinated multiproject consortia, such as Open Force Field, Open Free Energy, OpenFold, and OpenADMET, have formed to collaboratively build shared computational infrastructure and release all methods under permissive licenses. The success of these large-scale efforts requires organizational structures that extend beyond code. The Open Molecular Software Foundation (OMSF), a U.S. nonprofit, serves as a domain-specific institutional home and fiscal sponsor. By providing governance, administrative infrastructure, and dedicated research software engineers, OMSF aligns incentives across academic and industrial stakeholders. This framework enables a synergistic ecosystem where projects interoperate to accelerate innovation, eliminate duplication, and ensure long-term software sustainability, thereby creating durable foundations that elevate the entire molecular modeling community.

Indexed as

Models, MolecularSoftware

Identifiers

PMID41805121
PMCPMC13274558

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.