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Kiria-Nozan/
ApexOracle-Core

pytorch

biology

antimicrobial-peptides

mic-prediction

apexoracle

mit

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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.

Kiria-Nozan/ApexOracle-Core

ApexOracle Core MIC quickstart

Files

Run

Kiria-Nozan/
ApexOracle-Core