Ersilia Model Hub Identifier: eos4wt0
6.0K
The Morgan Fingerprints are one of the most widely used molecular representations. They are circular representations (from an atom,search the atoms around with a radius n) and can have thousands of features. This implementation uses the RDKit package and is done with radius 3 and 2048 dimensions, providing a binary vector as output. For Morgan counts, see model eos5axz.
This model was incorporated on 2023-12-01.Last packaged on 2026-08-31.
eos4wt0morgan-binary-fpsRepresentationFeaturizationAnyAnyDescriptor, FingerprintCompound12048FixedBelow are the Output Columns of the model:
| Name | Type | Direction | Description |
|---|---|---|---|
| feat_0000 | integer | Morgan fingerprint bit index 0 | |
| feat_0001 | integer | Morgan fingerprint bit index 1 | |
| feat_0002 | integer | Morgan fingerprint bit index 2 | |
| feat_0003 | integer | Morgan fingerprint bit index 3 | |
| feat_0004 | integer | Morgan fingerprint bit index 4 | |
| feat_0005 | integer | Morgan fingerprint bit index 5 | |
| feat_0006 | integer | Morgan fingerprint bit index 6 | |
| feat_0007 | integer | Morgan fingerprint bit index 7 | |
| feat_0008 | integer | Morgan fingerprint bit index 8 | |
| feat_0009 | integer | Morgan fingerprint bit index 9 |
10 of 2048 columns are shown
LocalExternalAMD64, ARM641443441.79Computational Performance (seconds):
29.8220.6846.67Peer reviewed2010This package is licensed under a GPL-3.0 license. The model contained within this package is licensed under a BSD-3-Clause 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 eos4wt0
Then, you can serve, run and close the model as follows:
# serve the model
ersilia serve eos4wt0
# 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
sha256:6b1004ead…
Size
171.4 MB
Last updated
about 1 month ago
docker pull ersiliaos/eos4wt0Pulls:
11
Sep 28 to Oct 4