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IDEA AI4Science

Official

@idea-xl · China

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22Public Repos
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25Published Skills

The International Digital Economy Academy (“IDEA”) x-disciplinary research

Skills Distribution
DomainAI Models & ...Bioinformatics Dat.. (40%)Genomic Sequence A.. (30%)Containerized Rese.. (30%)

Agent Skills by IDEA AI4Science

Showing 25 vetted skills indexed across 1 GitHub repositories.

IDEA-XLIDEA-XL
30

query-alphafold

Query AlphaFold EBI API for protein structure predictions and download PDB or CIF files.

Official
Intermediate
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query-reactome

Query Reactome ContentService and AnalysisService APIs for pathways, reactions, and enrichment results.

Official
Intermediate
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query-clinvar

Query ClinVar via NCBI Entrez and Biopython to retrieve variant clinical significance data.

Official
Intermediate
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query-opentarget

Retrieve drug-target-disease associations from the Open Targets Platform GraphQL API.

Official
Intermediate
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sequence-analysis

Analyze DNA, RNA, and protein sequences for length, GC content, ORFs, and translations.

Official
Intermediate
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query-geo

Search GEO databases for gene expression datasets by keywords and accession types.

Official
Intermediate
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blast-search

Run BLAST analyses against chosen databases to identify homologous sequences.

Official
Intermediate
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add-voice-transcription

Transcribe WhatsApp voice messages with OpenAI Whisper and store transcripts.

Official
Advanced
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setup

Automate MolClaw setup with dependency installation, runtime configuration, and authentication.

Official
Intermediate
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add-telegram

Integrate Telegram as a MolClaw channel with token setup and chat registration.

Official
Advanced
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30

query-interpro

Retrieve InterPro domain, family, and functional-site annotations for UniProt entries.

Official
Intermediate
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pubmed-search

Query PubMed via Biopython Entrez and return structured article metadata.

Official
Intermediate
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30

query-stringdb

Query the STRING API for protein-protein interaction partners and networks.

Official
Intermediate
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x-integration

Automate X (Twitter) posting, liking, replying, retweeting, and quoting via browser-driven tools.

Official
Advanced
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query-ensembl

Queries Ensembl REST endpoints for genomic annotations, sequences, and variants.

Official
Intermediate
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add-telegram-swarm

Assign each subagent its own bot identity in Telegram groups.

Official
Advanced
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query-kegg

Query the KEGG REST API for biological pathways and gene details.

Official
Intermediate
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query-pdb

Search RCSB PDB for protein structures and download PDB files.

Official
Advanced
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30

convert-to-docker

Migrates MolClaw from Apple Container to Docker for cross-platform runtime.

Official
Advanced
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add-gmail

Integrate Gmail with MolClaw using OAuth and MCP for email-driven automation.

Official
Advanced
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debug

Diagnose MolClaw container runtime issues via logs, env, mounts, and authentication.

Official
Basic
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query-uniprot

Retrieve protein function, sequence, and annotations from the UniProt REST API.

Official
Intermediate
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customize

Implement user-driven MolClaw customizations across channels, router, and integrations.

Official
Intermediate
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agent-browser

Drive a Bash-based agent-browser tool to navigate pages and extract data.

Official
Intermediate

Frequently Asked Questions About IDEA AI4Science

FAQPage Schema
What specific biological research tasks are supported?

Users can perform protein structure retrieval from PDB, sequence homology searches via BLAST, and functional annotation lookups from UniProt, InterPro, and Reactome. Additionally, the system supports genomic data extraction from Ensembl, ClinVar, and NCBI GEO databases for comprehensive biological research.

Which technical personas benefit from these capabilities?

Bioinformaticians, computational biologists, and research engineers benefit from these capabilities. The system is designed for professionals requiring structured access to biological databases and those managing containerized research environments for high-throughput sequence analysis and data retrieval.

What are the prerequisites for running these research environments?

Deployment requires a Docker-compatible environment for containerized execution. Users must configure authentication tokens for specific external services like Telegram or Gmail integrations and ensure local system resources are sufficient to handle containerized runtime configurations and data processing tasks.