adaptyv▌
davila7/claude-code-templates · updated Apr 8, 2026
Adaptyv is a cloud laboratory platform that provides automated protein testing and validation services. Submit protein sequences via API or web interface and receive experimental results in approximately 21 days.
Adaptyv
Adaptyv is a cloud laboratory platform that provides automated protein testing and validation services. Submit protein sequences via API or web interface and receive experimental results in approximately 21 days.
Quick Start
Authentication Setup
Adaptyv requires API authentication. Set up your credentials:
- Contact support@adaptyvbio.com to request API access (platform is in alpha/beta)
- Receive your API access token
- Set environment variable:
export ADAPTYV_API_KEY="your_api_key_here"
Or create a .env file:
ADAPTYV_API_KEY=your_api_key_here
Installation
Install the required package using uv:
uv pip install requests python-dotenv
Basic Usage
Submit protein sequences for testing:
import os
import requests
from dotenv import load_dotenv
load_dotenv()
api_key = os.getenv("ADAPTYV_API_KEY")
base_url = "https://kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws"
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
# Submit experiment
response = requests.post(
f"{base_url}/experiments",
headers=headers,
json={
"sequences": ">protein1\nMKVLWALLGLLGAA...",
"experiment_type": "binding",
"webhook_url": "https://your-webhook.com/callback"
}
)
experiment_id = response.json()["experiment_id"]
Available Experiment Types
Adaptyv supports multiple assay types:
- Binding assays - Test protein-target interactions using biolayer interferometry
- Expression testing - Measure protein expression levels
- Thermostability - Characterize protein thermal stability
- Enzyme activity - Assess enzymatic function
See reference/experiments.md for detailed information on each experiment type and workflows.
Protein Sequence Optimization
Before submitting sequences, optimize them for better expression and stability:
Common issues to address:
- Unpaired cysteines that create unwanted disulfides
- Excessive hydrophobic regions causing aggregation
- Poor solubility predictions
Recommended tools:
- NetSolP / SoluProt - Initial solubility filtering
- SolubleMPNN - Sequence redesign for improved solubility
- ESM - Sequence likelihood scoring
- ipTM - Interface stability assessment
- pSAE - Hydrophobic exposure quantification
See reference/protein_optimization.md for detailed optimization workflows and tool usage.
API Reference
For complete API documentation including all endpoints, request/response formats, and authentication details, see reference/api_reference.md.
Examples
For concrete code examples covering common use cases (experiment submission, status tracking, result retrieval, batch processing), see reference/examples.md.
Important Notes
- Platform is currently in alpha/beta phase with features subject to change
- Not all platform features are available via API yet
- Results typically delivered in ~21 days
- Contact support@adaptyvbio.com for access requests or questions
- Suitable for high-throughput AI-driven protein design workflows
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★39 reviews- ★★★★★Aditi Liu· Dec 12, 2024
Useful defaults in adaptyv — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Yusuf Reddy· Dec 8, 2024
We added adaptyv from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ama Nasser· Dec 4, 2024
adaptyv fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Emma Srinivasan· Nov 27, 2024
Keeps context tight: adaptyv is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Evelyn Farah· Nov 19, 2024
Registry listing for adaptyv matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Aditi Farah· Nov 3, 2024
I recommend adaptyv for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Aditi Abebe· Oct 22, 2024
adaptyv reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Emma Rao· Oct 18, 2024
adaptyv has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Emma Mensah· Oct 10, 2024
adaptyv fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★James Lopez· Sep 25, 2024
Useful defaults in adaptyv — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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