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spoc

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therapeutics/spoc

An integrated Python package for molecular descriptor generation, data processing, model training, and hyper-parameter optimization.

Machine-generated from the listed sources and not yet reviewed by a human.

spoc project image
GitHub preview card for WhitestoneYang/spoc. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cheminformatics · fingerprint · machine-learning · molecular-descriptor · property-prediction
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • chematiccheminformatics · molecular-descriptor

    A pure-Rust cheminformatics library targeting RDKit feature parity — zero C/C++ by default.

  • e3fpcheminformatics · fingerprint

    3D molecular fingerprints

  • e3fp-papercheminformatics · fingerprint

    3D molecular fingerprints (E3FP) paper repo

  • GSoC2025_Hbond_PMcheminformatics · fingerprint

    GSoC 2025 - MDAnalysis x ProLIF Project 5: H-Bond interactions from implicit hydrogens

  • logD_predictorcheminformatics · fingerprint

    Prediction of CHI logD from ¹H/¹³C NMR spectra and molecular fingerprints using ML and deep learning.

  • Rcpicheminformatics · fingerprint

    💊 Molecular informatics toolkit with integration of bioinformatics and cheminformatics tools for drug discovery

sources
  1. api.github.com/repos/WhitestoneYang/spoc
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-01-14, 8 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/40.json→ .entries["spoc"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.