| --- |
| license: mit |
| library_name: pytorch |
| tags: |
| - biology |
| - antimicrobial-peptides |
| - mic-prediction |
| - apexoracle |
| --- |
| |
| # ApexOracle Core MIC quickstart |
|
|
| This repository contains one inference-only member of the ApexOracle |
| hierarchical MIC predictor and one text-only embedding bundle for an executable |
| quickstart. |
|
|
| The checkpoint is a project-owned model released under MIT. The example refers |
| to DBAASP 2136 and *Acidipropionibacterium acidipropionici* ATCC 4965; underlying |
| third-party records are not relicensed by MIT. See the Core repository's |
| `DATA_NOTICE.md` for the provenance and license boundary. |
|
|
| ## Files |
|
|
| - `apexoracle_mic_strain_group0_member0_inference.pth`: strain-holdout group 0, |
| ensemble member 0, stripped of optimizer and unused classification state. |
| - `example_text_only_dbaasp_2136_atcc_4965.pt`: precomputed molecular and |
| strain-text embeddings using the public input-bundle schema. |
| - `example_output_cpu.json`: verified CPU output. |
| - `manifest.json`: file hashes, sizes, and source-checkpoint provenance. |
|
|
| This is a runnable single-member example, not the seven-member ensemble used |
| for paper-level metrics and not a prospective activity claim. |
|
|
| ## Run |
|
|
| Install ApexOracle Core from its public GitHub repository, then run: |
|
|
| ```bash |
| apexoracle-predict-mic \ |
| --checkpoint apexoracle_mic_strain_group0_member0_inference.pth \ |
| --input example_text_only_dbaasp_2136_atcc_4965.pt \ |
| --device cpu |
| ``` |
|
|
| The expected output is `prediction_z = -0.0717465281` and |
| `predicted_mic_um = 11.79631996`. |
|
|
