Ersilia Model Hub Identifier: eos57bx
6.1K
Mol2MolScaffold uses REINVENT4s mol2mol scaffold prior and mol2mol scaffold generic prior to generate around 100 new molecules similar to the provided molecules. The generated molecules will be relatively similar to the input molecules.
This model was incorporated on 2024-03-08.Last packaged on 2026-09-29.
eos57bxreinvent4-mol2mol-scaffoldSamplingGenerationAnyAnySimilarityCompound1100FixedBelow are the Output Columns of the model:
| Name | Type | Direction | Description |
|---|---|---|---|
| smi_00 | string | Generated molecule index 0. The mol2mol or the scaffold priors from REINVENT were used | |
| smi_01 | string | Generated molecule index 1. The mol2mol or the scaffold priors from REINVENT were used | |
| smi_02 | string | Generated molecule index 2. The mol2mol or the scaffold priors from REINVENT were used | |
| smi_03 | string | Generated molecule index 3. The mol2mol or the scaffold priors from REINVENT were used | |
| smi_04 | string | Generated molecule index 4. The mol2mol or the scaffold priors from REINVENT were used | |
| smi_05 | string | Generated molecule index 5. The mol2mol or the scaffold priors from REINVENT were used | |
| smi_06 | string | Generated molecule index 6. The mol2mol or the scaffold priors from REINVENT were used | |
| smi_07 | string | Generated molecule index 7. The mol2mol or the scaffold priors from REINVENT were used | |
| smi_08 | string | Generated molecule index 8. The mol2mol or the scaffold priors from REINVENT were used | |
| smi_09 | string | Generated molecule index 9. The mol2mol or the scaffold priors from REINVENT were used |
10 of 100 columns are shown
LocalExternalAMD64, ARM6429623672646.51Computational Performance (seconds):
123.9-1-1Peer reviewed2024This package is licensed under a GPL-3.0 license. The model contained within this package is licensed under a Apache-2.0 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 eos57bx
Then, you can serve, run and close the model as follows:
# serve the model
ersilia serve eos57bx
# 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
sha256:3cbd21000…
Size
1.1 GB
Last updated
8 days ago
docker pull ersiliaos/eos57bxPulls:
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Last week