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Deploy AlphaFold Adaptive API with morphic simulations and ESM-2
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metadata
title: AlphaFold Adaptive API
emoji: 🧬
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 7860
pinned: false

AlphaFold Adaptive API

Adaptive protein intelligence backend for the AlphaFold custom GPT.

Features

  • Adaptive context engine — tracks session history, infers user expertise, and generates dynamic system prompt extensions
  • Morphic simulations — Gray-Scott reaction-diffusion patterns self-assembled from protein pLDDT, chain length, and functional class
  • ESM-2 embeddingsfacebook/esm2_t6_8M_UR50D protein language model for sequence embeddings
  • Live AlphaFold DB + UniProt — real-time structure and metadata fetch
  • Per-residue pLDDT heatmap — confidence visualization
  • OpenAPI 3.1 schema — wired as a GPT Action

Endpoints

Method Path Description
POST /analyze Full analysis + adaptive context
GET /structure/{id} Structure summary
POST /simulate Morphic PNG (base64)
GET /simulate/image/{id} Morphic PNG direct
GET /simulate/heatmap/{id} pLDDT heatmap PNG
POST /context Adaptive session context
GET /docs Swagger UI
GET /openapi.json OpenAPI schema