[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6EC0W5EXEKYPTZ8DZKJMQWB":3,"skill-same:01M6EC0W5EXEKYPTZ8DZKJMQWB":45},{"skillNo":4,"name":5,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":18,"linkOnly":19,"markdownContent":20,"markdownBody":20,"frontMatter":21,"refName":22,"commitSha":23,"skillDirectory":24,"forksCount":25,"repositoryHtmlUrl":26,"repositoryHomepageUrl":27,"ownerHtmlUrl":28,"ownerBlogUrl":6,"ownerDescription":29,"updatedAt":30,"install":31,"resources":44},"01M6EC0W5EXEKYPTZ8DZKJMQWB","adaptyv",null,"ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",67,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002FK-Dense-AI\u002Fclaude-scientific-skills\u002Fadaptyv\u002FSKILL.md",[],[5],"2026-11-10 10:12:30",false,"# Adaptyv\n\nAdaptyv 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.\n\n## Quick Start\n\n### Authentication Setup\n\nAdaptyv requires API authentication. Set up your credentials:\n\n1. Contact support@adaptyvbio.com to request API access (platform is in alpha\u002Fbeta)\n2. Receive your API access token\n3. Set environment variable:\n\n```bash\nexport ADAPTYV_API_KEY=\"your_api_key_here\"\n```\n\nOr create a `.env` file:\n\n```\nADAPTYV_API_KEY=your_api_key_here\n```\n\n### Installation\n\nInstall the required package using uv:\n\n```bash\nuv pip install requests python-dotenv\n```\n\n### Basic Usage\n\nSubmit protein sequences for testing:\n\n```python\nimport os\nimport requests\nfrom dotenv import load_dotenv\n\nload_dotenv()\n\napi_key = os.getenv(\"ADAPTYV_API_KEY\")\nbase_url = \"https:\u002F\u002Fkq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws\"\n\nheaders = {\n    \"Authorization\": f\"Bearer {api_key}\",\n    \"Content-Type\": \"application\u002Fjson\"\n}\n\n# Submit experiment\nresponse = requests.post(\n    f\"{base_url}\u002Fexperiments\",\n    headers=headers,\n    json={\n        \"sequences\": \">protein1\\nMKVLWALLGLLGAA...\",\n        \"experiment_type\": \"binding\",\n        \"webhook_url\": \"https:\u002F\u002Fyour-webhook.com\u002Fcallback\"\n    }\n)\n\nexperiment_id = response.json()[\"experiment_id\"]\n```\n\n## Available Experiment Types\nAdaptyv supports multiple assay types:\n- **Binding assays** - Test protein-target interactions using biolayer interferometry\n- **Expression testing** - Measure protein expression levels\n- **Thermostability** - Characterize protein thermal stability\n- **Enzyme activity** - Assess enzymatic function\n\nSee `reference\u002Fexperiments.md` for detailed information on each experiment type and workflows.\n\n## Protein Sequence Optimization\nBefore submitting sequences, optimize them for better expression and stability:\n\n**Common issues to address:**\n- Unpaired cysteines that create unwanted disulfides\n- Excessive hydrophobic regions causing aggregation\n- Poor solubility predictions\n\n**Recommended tools:**\n- NetSolP \u002F SoluProt - Initial solubility filtering\n- SolubleMPNN - Sequence redesign for improved solubility\n- ESM - Sequence likelihood scoring\n- ipTM - Interface stability assessment\n- pSAE - Hydrophobic exposure quantification\n\nSee `reference\u002Fprotein_optimization.md` for detailed optimization workflows and tool usage.\n\n## API Reference\nFor complete API documentation including all endpoints, request\u002Fresponse formats, and authentication details, see `reference\u002Fapi_reference.md`.\n\n## Examples\nFor concrete code examples covering common use cases (experiment submission, status tracking, result retrieval, batch processing), see `reference\u002Fexamples.md`.\n\n## Important Notes\n- Platform is currently in alpha\u002Fbeta phase with features subject to change\n- Not all platform features are available via API yet\n- Results typically delivered in ~21 days\n- Contact support@adaptyvbio.com for access requests or questions\n- Suitable for high-throughput AI-driven protein design 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