{"product_id":"master-protein-folding-with-alphafold2-ai-skill-for-codex","title":"Master Protein Folding with AlphaFold2 AI Skill for Codex","description":"\u003ch3\u003eMaster Protein Folding with AlphaFold2 AI Skill for Codex\u003c\/h3\u003e\n\n\u003cp\u003eThis AI skill equips developers with the capability to predict protein structures for monomers and multimers using AlphaFold2 via the ColabFold runner. By integrating with Codex, users can execute complex protein folding tasks efficiently without the need for local database setups.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eFacilitates protein structure predictions through the AlphaFold2\/AlphaFold2-Multimer models.\u003c\/li\u003e\n  \u003cli\u003eUtilizes the ColabFold runner to replace DeepMind's local-database MSA pipeline with the public MMseqs2 server.\u003c\/li\u003e\n  \u003cli\u003eExecutes predictions with a single command and FASTA file input, reducing the need for large database mounts.\u003c\/li\u003e\n  \u003cli\u003eValidates designed sequences using self-consistency scores such as pLDDT, ipTM, and RMSD.\u003c\/li\u003e\n  \u003cli\u003eOffers quick MSA-backed protein predictions.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eDevelopers and teams using AI coding agents such as Claude Code, Cursor, and Codex.\u003c\/li\u003e\n  \u003cli\u003eResearchers focused on protein structure prediction and validation.\u003c\/li\u003e\n  \u003cli\u003eBioinformatics professionals requiring efficient protein folding tools.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003ePredicting the 3D structure of a single protein or a complex protein assembly using provided sequence data.\u003c\/li\u003e\n  \u003cli\u003eValidating newly designed protein sequences for research or development purposes.\u003c\/li\u003e\n  \u003cli\u003ePerforming consistent protein structure predictions without extensive local data resources.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eIntegrates AlphaFold2 and AlphaFold2-Multimer models via the ColabFold runner.\u003c\/li\u003e\n  \u003cli\u003eReplaces local MSA pipeline with MMseqs2 server to simplify process and storage requirements.\u003c\/li\u003e\n  \u003cli\u003eCommand-line operation example: \u003ccode\u003ecolabfold_batch input.fasta out --num-recycle 3 --model-type alphafold2_multimer_v3\u003c\/code\u003e.\u003c\/li\u003e\n  \u003cli\u003eSupports input through straightforward FASTA format, with special considerations for complex structures.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003eaipoch\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/aipoch\/open-science\" rel=\"nofollow noopener\" target=\"_blank\"\u003eaipoch\/open-science\u003c\/a\u003e) and distributed under \u003cstrong\u003eApache-2.0\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.\u003c\/p\u003e\n\u003cp\u003eYour purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":53014670672183,"sku":"MCP-AIPOCH-OPEN-SCIENCE-ALPHAFOLD2","price":35.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/ou5dXlIkB06omoFdmG8FA_e3527b1e76024b2b8ccc8b142bc35832.jpg?v=1789898712","url":"https:\/\/mcpcart.com\/products\/master-protein-folding-with-alphafold2-ai-skill-for-codex","provider":"SPF PRO","version":"1.0","type":"link"}