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Open Free Energy
@openfree.energy
To our knowledge, this is the first study to report binding free energy benchmarks on a cross-company collection of proprietary datasets. We couldn't have done it without the hard work of our amazing partner companies!
December 18, 2025 at 7:18 PM
Across a total of 1,700 ligands, OpenFE shows robust performance, generates reproducible results, and achieves both sufficient throughput and rapid convergence.
Our protocol:
- ranks compounds about as well as commercial solutions
- does not require fine-tuning settings for each system
December 18, 2025 at 7:17 PM
Our docs have you covered! We have a "cookbook" demonstrating how to use our API for a variety of tasks in setting up free energy calculations. docs.openfree.energy/en/latest/co...
Cookbook — OpenFE documentation
docs.openfree.energy
November 11, 2025 at 2:55 PM
You can find more information starting on slide 20 in our February 2025 update presentation: zenodo.org/records/1486...
zenodo.org
August 27, 2025 at 7:28 PM
To address these challenging cases, the Open Force Field Intitiative provides a tool, “BespokeFit,” for generating custom parameters for the specific chemistry of a target molecule. These custom (or “bespoke”) parameters can be used in RBFE calculations in OpenFE.
August 27, 2025 at 7:27 PM
Our default force field, OpenFF “Sage,” works well on a wide variety of organic molecules relevant to drug design. However, projects involving more exotic functional groups may be limited by low force field accuracy.
August 27, 2025 at 7:26 PM
This is such cool work. Ivan from the Chodera Lab is implementing a protein mutation protocol in OpenFE, and we can't wait to see what incredible studies people do with it!
August 19, 2025 at 5:05 PM
It's great to see this work in print! It's not on our roadmap this year, but in the longer term we are interested in optimizing replica spacing and will look closely at your method.
June 24, 2025 at 1:16 AM
But the ability of Boltz-2 to predict affinity opens up new possibilities for drug design workflows, like the Affinity Funneling approach that David Pearlman describes here.

medium.com/@dapscience/...
Boltz-2 vs. FEP? The Wrong Question. Here’s Why They’re Stronger Together
The Boltz-2 AI model lays claim to some amazing improvements in ligand affinity prediction. The greatest value may be in the realms of…
medium.com
June 17, 2025 at 4:00 PM
Reposted by Open Free Energy
This poster illustrates the substantial flexibility of the open source @openfree.energy ecosystem, enabling unconventional approaches for applying free energy methods. As this ecosystem continues to evolve, I'm excited to see what users do with the advancements we make!
May 27, 2025 at 11:27 PM