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The Open Molecular Software Foundation (OMSF) and the Growing Role of Open Source Software in Molecular Modeling
Karmen Čondić-Jurkić1, Irfan Alibay1, Woody Sherman2
1Open Molecular Software Foundation, Davis, California 95616, United States.
Modern molecular modeling requires collaborative, open-source software development to reduce costs and increase reproducibility. The Open Molecular Software Foundation (OMSF) supports this shift, fostering innovation and sustainability in the scientific community.
Area of Science:
- Computational chemistry and molecular modeling
- Scientific software development and open science principles
Background:
- Traditional molecular modeling software development is isolated, leading to duplicated effort, high costs, and limited reproducibility.
- Taxpayer-funded research is often siloed in commercial tools, reducing its public impact and accessibility.
Purpose of the Study:
- To advocate for permissively licensed open source software in molecular modeling.
- To highlight the benefits of collaborative architectures and consortia for scientific advancement.
- To introduce the Open Molecular Software Foundation (OMSF) as a supporting organization.
Main Methods:
- Promoting the adoption of open source software and permissive licensing.
- Establishing coordinated multiproject consortia (e.g., Open Force Field, Open Free Energy).
- Developing organizational structures and administrative support through entities like OMSF.
Main Results:
- Open source software acts as a scientific and economic multiplier, reducing duplicated effort and enabling validation.
- Consortia facilitate the collaborative development of shared computational infrastructure.
- OMSF provides governance and administrative support, aligning academic and industrial stakeholders.
Conclusions:
- A shift towards collaborative, open source models is essential for the molecular modeling field.
- Organizational structures like OMSF are crucial for the success and sustainability of open science initiatives.
- This framework accelerates innovation, reduces duplication, and strengthens the entire molecular modeling community.
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