Query and search the EMBL-EBI Ontology Lookup Service (OLS) for biomedical ontology terms, definitions, and hierarchies across 250+ ontologies (e.g., GO, DOID, HP). Use when the user asks to search for terms, retrieve details, navigate hierarchies (parents, children, ancestors), look up properties and individuals, get autocomplete suggestions, or access ontology metadata and statistics.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Query the Ensembl database to resolve gene, transcript, and protein IDs, fetch genomic or protein sequences, retrieve gene structures (exons), and get variant consequence and effect predictions (VEP). Use this skill as a primary ID translator, genomic sequence database and variant effect prediction tool.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Performs 3D structural searches of proteins against various databases (PDB, AlphaFold, CATH, MGnify, etc.) using the Foldseek API. Use ONLY when the user provides a physical 3D coordinate file (.cif, .mmcif, or .pdb) and wants to find structurally similar proteins. Do NOT use if the user only provides a protein sequence, gene name, or UniProt ID.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Performs multiple sequence alignment of proteins with EBI Clustal Omega. Use when you need to align multiple sequences to assess similarity, domain conservation, or key residue conservation. Supports up to 4000 sequences and a maximum file size of 4 MB. Do not use to search for homologous proteins in a database (use MMseqs2, BLAST), align non-protein sequences (DNA, RNA), perform structural alignment (use Foldseek, PyMOL), or if you only have a single sequence.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Query the Reactome database (Analysis and Content Services). Use when the user asks about pathway analysis, gene list enrichment, retrieving results by token, finding unmapped or not-found identifiers, mapping identifiers, reaction participants (inputs, outputs), pathway hierarchy (including top-level pathways), diagram export, cross-reference mapping, or searching the knowledgebase.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Fetch Evolutionary Conservation scores (phyloP, phastCons) and Transcription Factor Binding Sites (TFBS) from the UCSC Genome Browser. Use when analyzing whether genomic variants or regions are evolutionarily conserved, functionally important, or bounded by TF regulators across major projects (ENCODE, JASPAR, ReMap).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Searches for homologous protein sequences using MMseqs2 (fast, default) or BLAST (comprehensive, fallback). Trigger this whenever the user provides a protein sequence or FASTA file and asks to find homologues, sequence matches, or wants to infer protein function based on sequence similarity, but not when the user wants to infer protein function based on structural similarity.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Visualize, analyze, and render protein and molecular structures using PyMOL. Use when the user wants to create images of protein structures, perform structural alignments or superposition, measure distances or contacts, highlight binding sites or active site residues, color by B-factor/pLDDT, or analyze protein-ligand interactions. Do not use for docking, molecular dynamics, or sequence-only analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Identify domains, families, and sites in proteins; find all proteins in a family or sharing a domain; explore species distribution for a domain; annotate genomes with protein families and GO terms. InterPro combines 14 databases (e.g., Pfam, CDD) into one searchable resource. InterPro-N significantly expands annotation and sequence coverage with deep learning. Includes domain architecture (IDA) search.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Browse, filter, and download life sciences, biology, and medical preprints from bioRxiv and medRxiv. Supports fetching paper metadata by DOI, and browsing by date range with category and keyword filters. Keyword filtering is local, so date ranges MUST be narrow (1-4 weeks) with a category to prevent timeouts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Ancient text restoration, attribution, dating, contextualization, and embedding via Aeneas (Latin) / Ithaca (Ancient Greek). Use when asked to "restore", "attribute", "date", "contextualize", "find parallels", "where was it written", "when was it written", "embed", or "analyze" an ancient text, inscription, or epigraphic document, or when the user mentions "Aeneas", or "Ithaca".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Queries the UniBind database for experimentally validated transcription factor (TF) binding sites. Use when retrieving direct TF-DNA interaction datasets, downloading binding site coordinates (BED/FASTA) for local analysis, or listing available datasets by species, cell line, or TF name. Don't use to query specific intervals, locations, genes, motif models or expression data.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Query the JASPAR database for Transcription Factor (TF) binding profiles. Use when retrieving Position Frequency Matrices (PFMs) or Position Weight Matrices (PWMs) for specific TFs, resolving gene symbols to JASPAR Matrix IDs, or getting TF metadata. Supports multiple output formats (MEME, TRANSFAC, PFM, JASPAR, YAML).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API. Use when the user asks about non-coding variant effects, pathogenicity, clinical significance, disease associations, functional effects, gene expression changes, splicing disruption, or regulatory effects in promoters and enhancers. Also use for resolving biological terms to tissue/cell-type ontologies (UBERON/CL) or analyzing variants in chr:pos:ref>alt format.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Search PubMed for scientific literature, including published clinical trials. Fetch abstracts and full text. Link published research to biological databases (gene, protein, nucleotide, PubChem) to discover associations between papers and specific compounds or genes. Verify medical spelling, match raw citations, and cache result sets for bulk processing. Interfaces NCBI E-utilities and PMC BioC APIs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Query the ChEMBL database for bioactive molecules, drug targets, bioactivity data, approved drugs, and chemical structures. Use when the user asks about compounds, targets, IC50/Ki values, drug mechanisms, or structure searches.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Score, annotate, and analyze the functional impact of genetic variants using AlphaGenome Variant Impact (AVI) scores. Query variants in chr:pos:ref>alt format, annotate VCF/tabular callsets, perform saturation mutagenesis window scans (1-based closed chr:start-end), and extract GENCODE v46 GTF gene/exon/junction coordinates all via the AlphaGenome Atlas API.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Query the OpenAlex scholarly database for research papers, authors, institutions, topics, sources, publishers, funders, geo-locations, and keywords. Use when searching academic papers, resolving DOIs, downloading open-access PDFs, finding an author's publications, aggregating bibliometric data (citation counts, h-index, impact factor), exploring the research taxonomies, or performing DOI lookups.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Search for scientific papers, preprints, and publications on arXiv. Extract metadata, abstracts, and download full-text PDFs or HTML versions of papers. Use when the user asks to find research papers, literature, or specific arXiv IDs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Use when you want to search for or download experimentally-determined 3D structures for biomolecules (proteins, nucleic acids, bound ligands). Supports searching by sequence similarity, structure similarity, chemical and other attributes. Also use to get metadata about biomolecular structure experiments.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Access protein metadata, function, taxonomy, and sequences across UniProtKB, UniParc, and UniRef. Use when searching for proteins, mapping identifiers, or retrieving functional annotations and publications. Don't use for sequence alignment, protein folding, or sequence similarity search (use specialized skills for those tasks).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Checks whether the uv Python package manager is installed and installs it if missing. Ensures uv is on PATH. Use when another skill requires uv as a prerequisite.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트
Query the ENCODE Registry of cis-Regulatory Elements (cCREs) via the SCREEN GraphQL API, or make custom queries to the ENCODE Portal REST API for experiments and files (ChIP-seq peaks, etc.). Use when you want to query regulatory annotations or raw experimental data across human cell types.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
google-deepmind/science-skills☆ 3.3천2026년 10월 15일 업데이트