Tools · Computational Biology
Relative Binding Free Energy
Alchemical relative binding ΔΔG across ligand perturbation networks, absolute hydration ΔG, and REST2 replica-exchange sampling of protein–ligand complexes
Hardware and price
Price per run
What a typical run reserves from your wallet: the catalog's expected runtime on each piece of hardware × your plan's per-second rate. Larger inputs reserve more, and you're charged only for the seconds the job actually runs.
| Hardware | Typical runtime | Basic | Starter | Pro | Enterprise |
|---|---|---|---|---|---|
| Nvidia L4 | 7 h | $19.66 | $14.11 | $11.09 | $8.32 |
| Nvidia A10 | 6.5 h | $25.04 | $17.78 | $14.27 | $10.76 |
| Nvidia L40SDefault | 3 h | $20.52 | $14.69 | $11.66 | $8.75 |
| Nvidia A100, 40 GB | 3.2 h | $23.26 | $16.64 | $13.34 | $10.03 |
| Nvidia A100, 80 GB | 3.2 h | $27.70 | $19.84 | $15.85 | $11.86 |
| Nvidia H100 | 2.2 h | $29.95 | $21.37 | $17.08 | $12.87 |
In workflows
Chain it with other steps.
Each input and output has a data kind, so the builder only connects steps that fit.
Inputs
- Force-field system (list) · optionalOPENMM_XML
- Molecules (list) · optionalSDF
- Docked poses (list)SDF
- Protein structurePDB
Outputs
- ArchiveZIP
- TableCSV
- TableCSV
- StructuresPDB
References
The method behind it.
- Peter Eastman, Raimondas Galvelis, Raúl P. Peláez et al. (2023). OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. The Journal of Physical Chemistry B. doi:10.1021/acs.jpcb.3c06662 (opens in a new tab)
- Lingle Wang, Yujie Wu, Yuqing Deng et al. (2015). Accurate and Reliable Prediction of Relative Ligand Binding Potency in Prospective Drug Discovery by Way of a Modern Free-Energy Calculation Protocol and Force Field. Journal of the American Chemical Society. doi:10.1021/ja512751q (opens in a new tab)
- Michael R. Shirts, John D. Chodera (2008). Statistically optimal analysis of samples from multiple equilibrium states. The Journal of Chemical Physics. doi:10.1063/1.2978177 (opens in a new tab)
- Lingle Wang, Richard A. Friesner, B. J. Berne (2011). Replica Exchange with Solute Scaling: A More Efficient Version of Replica Exchange with Solute Tempering (REST2). The Journal of Physical Chemistry B. doi:10.1021/jp204407d (opens in a new tab)
- Hannah M. Baumann, Joshua T. Horton, Michael M. Henry et al. (2026). Large-Scale Collaborative Assessment of Binding Free Energy Calculations for Drug Discovery Using OpenFE. Journal of Chemical Information and Modeling. doi:10.1021/acs.jcim.6c00089 (opens in a new tab)
Run via API
Submit it from your own code.
Use an API key from your account. The estimate uses your plan's rates; submitting reserves that amount from your wallet.
# Estimate the reservation for your plan (payload fields: see the API reference)
curl -X POST https://api.cognichem.com/api/v1/jobs/estimate \
-H "X-Api-Key: $COGNICHEM_API_KEY" \
-H "Content-Type: application/json" \
-d '{"job_type": "openmm-rbfe", "resource": "l40s", "payload": {}}'
# Submit (retrying with the same Idempotency-Key never submits twice)
curl -X POST https://api.cognichem.com/api/v1/jobs/submit \
-H "X-Api-Key: $COGNICHEM_API_KEY" \
-H "Idempotency-Key: $(uuidgen)" \
-H "Content-Type: application/json" \
-d '{"job_name": "openmm-rbfe-1", "job_type": "openmm-rbfe", "resource": "l40s", "payload": { ... }}'Computational Biology
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