# Dyno Phi — Protein Design API

**Canonical:** https://apis.io/apis/dyno/dyno-phi-protein-design-api/  
**Provider:** Dyno — https://apis.io/providers/dyno/  
**Base URL:** https://api.dyno-agents.app  
**Documentation:** https://design.dynotx.com/docs

Dyno Phi — Protein Design API is published by [Dyno](https://apis.io/providers/dyno/) on the [APIs.io](https://apis.io/) network, described by a machine-readable OpenAPI specification. Tagged areas include Protein Design, Structure Prediction, Machine-Learning, Job, and Workflows. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, an API reference, authentication docs, and rate-limit docs.

Phi is a biomodal computation platform for protein design. The REST API lets a caller create datasets from PDB/CIF structures, submit structure-prediction and sequence-design jobs across twenty biomodal job types (ESMFold, AlphaFold2 multimer, ProteinMPNN, Boltz, Chai-1, ESM-2, RFDiffusion3, BoltzGen, OpenFold3, BindCraft, AF2Rank, TM-score and more), compose and execute multi-step workflows and protocols, register agents and tools, poll job status, stream job logs, and download scored results and artifacts. Authentication is a static API key; per-user and per-organization job quotas are exposed through the API itself.

## Machine-readable artifacts (14)

- **OpenAPI** — https://raw.githubusercontent.com/api-evangelist/dyno/refs/heads/main/openapi/dyno-phi-openapi.yml
- **Documentation** — https://design.dynotx.com/docs
- **APIReference** — https://api.dyno-agents.app/
- **Authentication** — https://raw.githubusercontent.com/api-evangelist/dyno/refs/heads/main/authentication/dyno-authentication.yml
- **Conventions** — https://raw.githubusercontent.com/api-evangelist/dyno/refs/heads/main/conventions/dyno-conventions.yml
- **ErrorCatalog** — https://raw.githubusercontent.com/api-evangelist/dyno/refs/heads/main/errors/dyno-problem-types.yml
- **DataModel** — https://raw.githubusercontent.com/api-evangelist/dyno/refs/heads/main/data-model/dyno-data-model.yml
- **RateLimits** — https://raw.githubusercontent.com/api-evangelist/dyno/refs/heads/main/rate-limits/dyno-rate-limits.yml
- **Overlay** — https://raw.githubusercontent.com/api-evangelist/dyno/refs/heads/main/overlays/dyno-phi-overlay.yaml
- **Sandbox** — https://raw.githubusercontent.com/api-evangelist/dyno/refs/heads/main/sandbox/dyno-sandbox.yml
- **CLI** — https://raw.githubusercontent.com/api-evangelist/dyno/refs/heads/main/cli/dyno-cli.yml
- **AgentSkill** — https://raw.githubusercontent.com/api-evangelist/dyno/refs/heads/main/skills/_index.yml
- **SDKs** — https://raw.githubusercontent.com/api-evangelist/dyno/refs/heads/main/packages/dyno-packages.yml
- **APIsJSON** — https://raw.githubusercontent.com/api-evangelist/dyno/refs/heads/main/apis.yml

## Tags

Protein Design, Structure Prediction, Machine-Learning, Job, Workflows

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/apis/dyno/dyno-phi-protein-design-api/). The API's provider profile, Kin Score and agent-readiness rating are at https://apis.io/providers/dyno/.