skills/claude-scientific-skills
1
0
Fork 0
mirror of https://github.com/K-Dense-AI/claude-scientific-skills.git synced 2026-01-26 16:58:56 +08:00
Code Issues Packages Projects Releases Wiki Activity

Update SKILL.md files to add double quotation marks for all skills, ensuring clarity and consistency across all entries.

Browse Source
This commit is contained in:
Haoxuan "Orion" Li
2025-10-20 20:51:50 -07:00
parent c0fa308af8
commit c2b16829f6
68 changed files with 68 additions and 68 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
scientific-databases/alphafold-database/SKILL.md
View File

@@ -1,6 +1,6 @@
---
name: alphafold-database
description: Access and analyze AlphaFold protein structure predictions from the DeepMind/EMBL-EBI database containing 200M+ AI-predicted protein structures. Use this skill for: retrieving protein structures by UniProt accession codes, downloading structure files (mmCIF, PDB), accessing confidence metrics (pLDDT scores, PAE matrices), bulk proteome downloads via Google Cloud Storage, structural analysis workflows, drug discovery target preparation, protein engineering studies, evolutionary structural comparisons, structural bioinformatics pipelines, molecular modeling preparation, protein function prediction from structure, structural genomics projects, comparative structural analysis, protein domain identification, binding site analysis, structural quality assessment, confidence score interpretation, batch processing multiple proteins, integrating AlphaFold predictions with experimental data, structural visualization preparation, protein-protein interaction analysis, conformational analysis, structural annotation workflows, homology modeling validation, structural feature extraction, protein classification by structure, structural motif identification, and any computational biology task requiring AI-predicted protein structures.
description: "Access and analyze AlphaFold protein structure predictions from the DeepMind/EMBL-EBI database containing 200M+ AI-predicted protein structures. Use this skill for: retrieving protein structures by UniProt accession codes, downloading structure files (mmCIF, PDB), accessing confidence metrics (pLDDT scores, PAE matrices), bulk proteome downloads via Google Cloud Storage, structural analysis workflows, drug discovery target preparation, protein engineering studies, evolutionary structural comparisons, structural bioinformatics pipelines, molecular modeling preparation, protein function prediction from structure, structural genomics projects, comparative structural analysis, protein domain identification, binding site analysis, structural quality assessment, confidence score interpretation, batch processing multiple proteins, integrating AlphaFold predictions with experimental data, structural visualization preparation, protein-protein interaction analysis, conformational analysis, structural annotation workflows, homology modeling validation, structural feature extraction, protein classification by structure, structural motif identification, and any computational biology task requiring AI-predicted protein structures."
---
# AlphaFold Database