How many scientific tools are available through this skill?

The skill provides access to a standardized library of over 600 scientific tools, including machine learning models, public APIs, and specialized analysis packages.

Which databases are integrated into ToolUniverse?

It provides standardized access to major scientific databases such as OpenTargets, PubChem, UniProt, PDB, ChEMBL, and KEGG.

Can I use ToolUniverse to search for specific research tools?

Yes, you can discover tools using three methods: keyword search, LLM-based semantic search, or GPU-accelerated embedding-based search for highly relevant results.

What scientific domains does ToolUniverse support?

ToolUniverse supports a wide range of fields including bioinformatics, cheminformatics, genomics, structural biology, proteomics, drug discovery, and clinical data analysis.

Is it possible to automate multi-step research workflows?

Absolutely. ToolUniverse is designed for tool composition, allowing you to chain multiple steps together, such as finding a target, predicting its structure, and then performing virtual screening.

ToolUniverse Scientific Research

Name: ToolUniverse Scientific Research
Author: Microck

byMicrock

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데이터 과학 및 ML

Accesses over 600 scientific tools and databases for bioinformatics, drug discovery, and computational biology research.

소개

ToolUniverse is a unified ecosystem that transforms Claude into a digital research scientist by providing standardized access to over 600 scientific resources. This skill enables the discovery, execution, and composition of complex workflows across domains like genomics, proteomics, cheminformatics, and structural biology. By integrating major databases such as PubChem, UniProt, and ChEMBL with advanced machine learning models, it allows users to automate everything from protein structure prediction to virtual drug screening within a single, cohesive environment.

주요 기능

Unified access to 600+ scientific tools, datasets, and APIs
Integration with major databases like OpenTargets, PDB, and ChEMBL
Semantic and keyword-based tool discovery using natural language
Standardized AI-Tool Interaction Protocol for seamless execution
81 GitHub stars
Multi-step research pipeline composition for complex workflows

사용 사례

Predicting protein structures and analyzing molecular properties for structural biology research
Performing comprehensive genomic analysis including variant annotation and pathway enrichment
Automating drug discovery pipelines from disease target identification to lead-like compound screening

소개

주요 기능

Unified access to 600+ scientific tools, datasets, and APIs
Integration with major databases like OpenTargets, PDB, and ChEMBL
Semantic and keyword-based tool discovery using natural language
Standardized AI-Tool Interaction Protocol for seamless execution
81 GitHub stars
Multi-step research pipeline composition for complex workflows

사용 사례

Predicting protein structures and analyzing molecular properties for structural biology research
Performing comprehensive genomic analysis including variant annotation and pathway enrichment
Automating drug discovery pipelines from disease target identification to lead-like compound screening