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picofold

A *minimal* protein structure predictor written in ~200 lines of *readable* PyTorch.

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This is 1 of 86 launches in computational biology and chemistry software — see how it stacks up on momentum and crowding →

701 other launches read as similar to this one →

Details

External ID
1406158872
Source
GITHUB
Company
—
Product
picofold
Website domain
github.com
Launched
Oct. 5, 2026
Cohort
—
Upvotes
19
Upvotes percentile
0.41
Tags
—

Enrichment

Niche
computational biology and chemistry software
Vertical
Healthcare
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
minimal protein structure predictor in pytorch
Manually corrected
False

Could you build this?

No Protein structure prediction relies on complex structural biology algorithms, invariant point attention, and 3D equivariant geometric representations that demand specialized domain expertise.

What it would actually take: Even a minimal ~200-line implementation requires understanding AlphaFold/ESMFold architecture: Frame transitions, SE(3)/SO(3) group operations, invariant point attention (IPA), and pairwise residue representations in PyTorch. Training and evaluation require structural biology knowledge and curated datasets from the Protein Data Bank (PDB).

Competitors

Other products that read as similar to this one — 701 launches clear the similarity bar, closest 8 shown.

Attention rank: #392 of 702 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 341 days after the earliest competitor.

Other launches for this product