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alphafold3-mac

imported

therapeutics/alphafold3-mac

Run AlphaFold 3 protein structure prediction natively on Apple Silicon Macs (M1/M2/M3/M4). MLX inference, web UI, restraint-guided docking.

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

alphafold3-mac project image
GitHub preview card for omrikais/alphafold3-mac. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
CC-BY-NC-SA-4.0(cc)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
alphafold · alphafold3 · apple-silicon · bioinformatics · computational-biology · deep-learning · diffusion-model · drug-discovery · macos · mlx · molecular-docking · protein-folding · protein-structure-prediction · structural-biology
Regulatory
unknown
similar by tags

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    Boltz2 Notebook – A streamlined Colab-based pipeline for protein structure prediction and binding affinity analysis using the Boltz2 deep learning model.

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    AI-agent toolkit for structural biology: design binders, map structures, screen candidates, rank results, and prepare cloud-scale runs.

  • PharmaCoreapple-silicon · bioinformatics · computational-biology · drug-discovery

    AI drug discovery on Apple Silicon. De novo generation + drug repurposing. 100% local, no cloud, fully auditable.

  • pepdesignalphafold · bioinformatics · computational-biology · drug-discovery

    A modular, extensible peptide design pipeline with target preparation, backbone generation, sequence design, scoring, and ranking. Full local CPU pipeline, and backend hooks for RFpeptides,…

sources
  1. api.github.com/repos/omrikais/alphafold3-mac
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-12, 4 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as CC-BY-NC-SA-4.0, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/55.json→ .entries["alphafold3-mac"]

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