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Educational licenses often require annual renewal, sometimes with proof of enrollment. This can lead to lapses in access, causing frustration for students who rely on PyMOL for their thesis work. Moreover, institutions must manage a patchwork of individual licenses, whereas a site-wide license would be simpler—though more expensive.

Critics argue that proprietary educational licenses are inherently less ideal than truly free and open-source software (FOSS). ChimeraX (UCSF) and Jmol are entirely free and, in some respects, more modern. Why should an institution tie itself to PyMOL? The answer lies in industry inertia: PyMOL is the de facto standard for publication-quality figures, and learning it confers a career advantage. Ethical and Economic Balancing Act From Schrödinger’s perspective, the Educational License is a form of strategic corporate social responsibility. It is a loss leader that builds brand loyalty. Every student who learns PyMOL becomes a potential paying customer. Economists call this "lock-in" or "switching costs"—once a user is fluent in PyMOL’s scripting syntax, switching to another program represents a significant time investment.

This is a double-edged sword. While it protects Schrödinger’s revenue model, it can be frustrating for academic researchers whose work has translational potential. A postdoc identifying a novel drug target cannot use the educational license if a patent is anticipated. They must either switch to an open-source alternative (like UCSF ChimeraX or VMD) or purchase a full academic license, which is still costly.

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