Ersilia Model Hub Identifier: eos8vud
7.0K
Generates ten molecules matching the three-dimensional shape of a reference compound while allowing the chemistry to change, the essence of ligand-based scaffold hopping. SQUID, from Adams and Coley, uses an equivariant network so that generation respects rotation and translation, conditioning on shape rather than on the molecular graph. Because sampling is stochastic and shape is matched approximately, outputs vary between runs and still require assessment for synthetic feasibility.
This model was incorporated on 2024-05-01.Last packaged on 2026-09-23.
eos8vudsquidSamplingGenerationAnyAnyCompound generationCompound110VariableBelow are the Output Columns of the model:
| Name | Type | Direction | Description |
|---|---|---|---|
| smi_0 | string | This input index was calculated using the pretrained SQUID model | |
| smi_1 | string | This input index was calculated using the pretrained SQUID model | |
| smi_2 | string | This input index was calculated using the pretrained SQUID model | |
| smi_3 | string | This input index was calculated using the pretrained SQUID model | |
| smi_4 | string | This input index was calculated using the pretrained SQUID model | |
| smi_5 | string | This input index was calculated using the pretrained SQUID model | |
| smi_6 | string | This input index was calculated using the pretrained SQUID model | |
| smi_7 | string | This input index was calculated using the pretrained SQUID model | |
| smi_8 | string | This input index was calculated using the pretrained SQUID model | |
| smi_9 | string | This input index was calculated using the pretrained SQUID model |
LocalExternalAMD64, ARM6437126083052.22Computational Performance (seconds):
32.241487.02-1Preprint2023This package is licensed under a GPL-3.0 license. The model contained within this package is licensed under a MIT license.
Notice: Ersilia grants access to models as is, directly from the original authors, please refer to the original code repository and/or publication if you use the model in your research.
To use this model locally, you need to have the Ersilia CLI installed. The model can be fetched using the following command:
# fetch model from the Ersilia Model Hub
ersilia fetch eos8vud
Then, you can serve, run and close the model as follows:
# serve the model
ersilia serve eos8vud
# generate an example file
ersilia example -n 3 -f my_input.csv
# run the model
ersilia run -i my_input.csv -o my_output.csv
# close the model
ersilia close
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Content type
Image
Digest
sha256:b7a957c95…
Size
1.1 GB
Last updated
about 9 hours ago
docker pull ersiliaos/eos8vudPulls:
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Last week