BioEmu
MicrosoftVersion: 4
Key capabilities
About this model
The BioEmu model is intended for prediction of protein equilibrium structure ensembles. The model is used for predicting diverse protein structures that emulate the thermodynamic ensemble (i.e., Boltzmann distribution) given an amino acid sequence. An interface to side-chain reconstruction and MD equilibration is provided.Key model capabilities
- prediction of structural ensembles
- prediction of folding free energies
- providing mechanistic hypotheses
- sampling of conformational changes related to protein function (specifically local unfolding, domain motion and the formation of cryptic pockets)
- emulation of molecular dynamics (MD) equilibrium distributions
- prediction of protein stabilities
See Responsible AI for additional considerations for responsible use.
Key use cases
The model is used for predicting diverse protein structures that emulate the thermodynamic ensemble (i.e., Boltzmann distribution) given an amino acid sequence. Examples of direct usages include but not limited to prediction of structural ensembles, prediction of folding free energies, providing mechanistic hypotheses. The model is intended for research and experimental purposes.Out of scope use cases
The model only supports predictions of protein structures in backbone frame representation. Any attempt and interpretation beyond that should be avoided. The model does not support generation of new protein sequences as it is designed for the above purpose only. The current model has low prediction quality for protein-protein interactions, including multi-chain proteins, and does not feature explicit interactions with other chemical entities like small molecules. Further testing/development are needed before considering its application in real-world scenarios. We advice against predicting entities that are not considered by the used embeddings or represented in the training data, including but not limited to multi-chain proteins.Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.
Quick facts
Model providerMicrosoft
TypeProtein structure prediction
LifecycleGenerally available (GA)
Input typetext
Output typetext
Token limits4096 output
PricingView pricing