Google DeepMind
Official@google-deepmind
Offers specialized computational interfaces for high-throughput retrieval and analysis of multi-omic, structural biology, and clinical research datasets.
Agent Skills by Google DeepMind
Showing 39 vetted skills indexed across 1 GitHub repositories.
predictingthepast
Restore, attribute, date, and contextualize ancient Latin and Greek inscriptions using Aeneas and Ithaca models.
credentials
Verifies API keys in .env files and prompts users to add missing credentials safely.
ucsc-conservation-and-tfbs
Fetch UCSC phyloP and phastCons conservation metrics with TFBS annotations for genomic coordinates.
string-database
Query the STRING database for protein interactions, enrichment, and homology.
protein-sequence-similarity-search
Search protein sequence databases for homologues and infer functions.
unibind-database
Query UniBind for TF–DNA binding datasets and download BED/FASTA coordinates.
uniprot-database
Retrieve protein metadata, annotations, taxonomy, and sequences from UniProt databases.
reactome-database
Run Reactome pathway enrichment and identifier mapping for gene/protein lists.
quickgo-database
Map gene products to Gene Ontology terms via QuickGO and ECO REST APIs.
gtex-database
Retrieve GTEx baseline RNA expression and single-tissue eQTL associations for genes and genomic regions.
pubmed-database
Search PubMed, fetch abstracts, and link papers to NCBI biological entities.
chembl-database
Retrieve bioactive molecule, target, and activity data from the ChEMBL database.
embl-ebi-ols
Search EMBL-EBI OLS for ontology terms and retrieve definitions and IDs.
literature-search-arxiv
Search arXiv with structured queries and retrieve paper metadata and full text.
opentargets-database
Retrieve Open Targets evidence for target–disease associations and credible sets.
ncbi-sequence-fetch
Retrieve NCBI protein and nucleotide sequences via Entrez E-utilities with JSON output.
pymol
Render protein structures and measure distances with PyMOL headlessly.
gnomad-database
Retrieve gnomAD allele frequencies and gene constraint metrics via GraphQL.
literature-search-europepmc
Retrieve open-access scientific literature from Europe PMC and download PDFs or full text.
alphafold-database-fetch-and-analyze
Fetch AlphaFold structures and PAE matrices for UniProt accessions and analyze pLDDT confidence and domain boundaries.
pdb-database
Search RCSB for 3D biomolecular structures and metadata via GraphQL.
literature-search-openalex
Resolve names and DOIs into OpenAlex IDs for scholarly literature search.
dbsnp-database
Resolve genetic variants between rsIDs, VCF coordinates, and HGVS via dbSNP.
uv
Install the uv Python package manager and verify its PATH availability.
Frequently Asked Questions About Google DeepMind
FAQPage SchemaWhat specific biological research tasks are enabled by these capabilities?▼
These capabilities enable high-throughput retrieval of protein structures, genomic variant annotation, pathway enrichment analysis, and systematic querying of clinical trial and regulatory databases for drug discovery and functional genomics research.
Which technical personas are the primary users of these research interfaces?▼
The primary users are computational biologists, bioinformaticians, and structural researchers who require programmatic access to standardized biological databases like UniProt, PDB, Ensembl, and ChEMBL for large-scale data integration.
What are the prerequisites for integrating these scientific data retrieval functions?▼
Integration requires a runtime environment capable of handling JSON-based REST requests and GraphQL queries, along with appropriate network access to public scientific repositories like NCBI, EMBL-EBI, and OpenAlex.