Master Protein Folding with AlphaFold2 AI Skill for Codex
Master Protein Folding with AlphaFold2 AI Skill for Codex
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Master Protein Folding with AlphaFold2 AI Skill for Codex
Master Protein Folding with AlphaFold2 AI Skill for Codex
This 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.
What this skill does
- Facilitates protein structure predictions through the AlphaFold2/AlphaFold2-Multimer models.
- Utilizes the ColabFold runner to replace DeepMind's local-database MSA pipeline with the public MMseqs2 server.
- Executes predictions with a single command and FASTA file input, reducing the need for large database mounts.
- Validates designed sequences using self-consistency scores such as pLDDT, ipTM, and RMSD.
- Offers quick MSA-backed protein predictions.
Who it is for
- Developers and teams using AI coding agents such as Claude Code, Cursor, and Codex.
- Researchers focused on protein structure prediction and validation.
- Bioinformatics professionals requiring efficient protein folding tools.
Use cases
- Predicting the 3D structure of a single protein or a complex protein assembly using provided sequence data.
- Validating newly designed protein sequences for research or development purposes.
- Performing consistent protein structure predictions without extensive local data resources.
Technical details
- Integrates AlphaFold2 and AlphaFold2-Multimer models via the ColabFold runner.
- Replaces local MSA pipeline with MMseqs2 server to simplify process and storage requirements.
- Command-line operation example:
colabfold_batch input.fasta out --num-recycle 3 --model-type alphafold2_multimer_v3. - Supports input through straightforward FASTA format, with special considerations for complex structures.
Source & Licence
This package is built on open-source work published by aipoch (aipoch/open-science) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.
Personal 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.
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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