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Predict Protein Structures with Alterlab-AlphaFold AI

Predict Protein Structures with Alterlab-AlphaFold AI

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Works withClaude CodeCursorCodexGemini CLI
Predict Protein Structures with Alterlab-AlphaFold AI

Predict Protein Structures with Alterlab-AlphaFold AI

Regular price £24.99
Regular price £24.99 Sale price
SAVE Sold out

Revolutionize Your Protein Structure Predictions with Alterlab-AlphaFold AI

Unlock the power of cutting-edge protein analysis with the Predict Protein Structures with Alterlab-AlphaFold AI skill. Designed for developers and teams utilizing AI coding agents like Claude Code, Cursor, and Codex, this skill facilitates precise 3D protein structure predictions using AlphaFold2 via ColabFold. Streamline your research or development processes with accelerated MSAs, confidence-based validation, and more.

What This Skill Does

  • Predicts 3D protein structures from amino acid sequences using AlphaFold2 through the efficient ColabFold platform.
  • Employs the MMseqs2-accelerated API to speed up MSA searches, making it GPU-friendly and faster.
  • Handles both monomer chains and complex protein structures using AlphaFold2-Multimer technology.
  • Generates confidence metrics, including pLDDT, pTM/ipTM, and PAE, for assessing the trustworthiness of each prediction.
  • Provides structure validation and ranking based on computational confidence scores.

Use Cases

  • Academic Research: Ideal for researchers looking to predict protein structures quickly and accurately, significantly boosting productivity in computational biology labs.
  • Biotech Development: Enhance biotech applications with reliable structural data, facilitating drug design and interaction analysis.
  • Protein Design Evaluation: Use confidence metrics to evaluate the self-consistency of protein designs or modifications.
  • Complex Co-Folding Needs: For protein-small molecule interactions, antibody-antigen complexes, or multi-entity structures, consider complementary skills like alterlab-boltz or alterlab-chai.

Technical Details

  • Operates on the ColabFold platform as innovatively described by Mirdita et al. in Nature Methods (2022).
  • Incorporates MMseqs2 API for accelerated MSA searches.
  • Utilizes AlphaFold2 and AlphaFold2-Multimer for comprehensive structure prediction capabilities.
  • Part of the AlterLab Academic Skills suite, specifically tailored for integration with AI coding platforms like Claude Code, Cursor, and Codex.

Enhance your AI agent skills portfolio with the powerful, insight-driven Predict Protein Structures with Alterlab-AlphaFold AI skill, and transform how you approach protein structure prediction in your projects.


Source & Licence

This package is built on open-source work published by AlterLab-IEU (AlterLab-IEU/AlterLab-Academic-Skills) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your 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.

Delivery & Support

  • Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
  • Format: ZIP archive containing the skill files, documentation and the original licence.
  • Support: support@mcpcart.com — we aim to reply within 2 business days.
  • Updates: updates are included only where stated on this page.

Refunds

This 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.

Claude, 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.

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We finally caught broken conversion tags before launch instead of after. The pre-launch checklist alone is worth the price.

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Dropped it into Claude Code and my LCP went from 4.1s to 1.9s in an afternoon. It explains every fix it suggests, so I actually learned something too.

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Our agency uses it as the final review step on every PR now. It catches security issues our linters never did.

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Made WCAG 2.2 compliance actually manageable. It walked through our whole storefront and produced a fix list our devs could work from directly.

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As an expat freelancer in France, the DGFIP simulation saved me a very expensive appointment with an accountant. Incredibly thorough.

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Works with both Cursor and Claude Code exactly as advertised. Setup took less than five minutes with the included README.

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Instant delivery, clean files, clear docs. This is how digital products should be sold. Already bought three more skills.

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Support answered my install question within a couple of hours on a Sunday. The skill itself has become part of my daily workflow.

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