Drug Discovery Agents

Configuration File: drug_discovery_agents.json Tool Type: Local Tools Count: 7

This page contains all tools defined in the drug_discovery_agents.json configuration file.

Available Tools

ADMETAnalyzerAgent (Type: AgenticTool)

AI agent that analyzes ADMET data and provides insights on drug-likeness and safety profiles

ADMETAnalyzerAgent tool specification

Tool Information:

  • Name: ADMETAnalyzerAgent

  • Type: AgenticTool

  • Description: AI agent that analyzes ADMET data and provides insights on drug-likeness and safety profiles

Parameters:

  • compounds (string) (required) List of compounds to analyze (comma-separated)

  • admet_data (string) (required) ADMET data from computational tools to analyze

  • disease_context (string) (optional) Disease context for ADMET evaluation

Example Usage:

query = {
    "name": "ADMETAnalyzerAgent",
    "arguments": {
        "compounds": "example_value",
        "admet_data": "example_value"
    }
}
result = tu.run(query)

ClinicalTrialDesignAgent (Type: AgenticTool)

AI agent that designs clinical trial protocols based on preclinical data and regulatory requirements

ClinicalTrialDesignAgent tool specification

Tool Information:

  • Name: ClinicalTrialDesignAgent

  • Type: AgenticTool

  • Description: AI agent that designs clinical trial protocols based on preclinical data and regulatory requirements

Parameters:

  • drug_name (string) (required) Name of the drug candidate

  • indication (string) (required) Disease indication

  • preclinical_data (string) (optional) Preclinical efficacy and safety data

  • target_population (string) (optional) Target patient population

Example Usage:

query = {
    "name": "ClinicalTrialDesignAgent",
    "arguments": {
        "drug_name": "example_value",
        "indication": "example_value"
    }
}
result = tu.run(query)

CompoundDiscoveryAgent (Type: AgenticTool)

AI agent that analyzes potential drug compounds using multiple strategies and LLM reasoning

CompoundDiscoveryAgent tool specification

Tool Information:

  • Name: CompoundDiscoveryAgent

  • Type: AgenticTool

  • Description: AI agent that analyzes potential drug compounds using multiple strategies and LLM reasoning

Parameters:

  • disease_name (string) (required) Name of the disease

  • targets (string) (required) List of therapeutic targets (comma-separated)

  • context (string) (optional) Additional context or specific requirements

Example Usage:

query = {
    "name": "CompoundDiscoveryAgent",
    "arguments": {
        "disease_name": "example_value",
        "targets": "example_value"
    }
}
result = tu.run(query)

DiseaseAnalyzerAgent (Type: AgenticTool)

AI agent that analyzes disease characteristics and identifies potential therapeutic targets using…

DiseaseAnalyzerAgent tool specification

Tool Information:

  • Name: DiseaseAnalyzerAgent

  • Type: AgenticTool

  • Description: AI agent that analyzes disease characteristics and identifies potential therapeutic targets using LLM reasoning

Parameters:

  • disease_name (string) (required) Name of the disease to analyze

  • context (string) (optional) Additional context or specific focus areas

Example Usage:

query = {
    "name": "DiseaseAnalyzerAgent",
    "arguments": {
        "disease_name": "example_value"
    }
}
result = tu.run(query)

DrugInteractionAnalyzerAgent (Type: AgenticTool)

AI agent that analyzes drug-drug interactions and provides clinical recommendations

DrugInteractionAnalyzerAgent tool specification

Tool Information:

  • Name: DrugInteractionAnalyzerAgent

  • Type: AgenticTool

  • Description: AI agent that analyzes drug-drug interactions and provides clinical recommendations

Parameters:

  • compounds (string) (required) List of compounds to analyze for interactions (comma-separated)

  • patient_context (string) (optional) Patient context (age, comorbidities, medications, etc.)

Example Usage:

query = {
    "name": "DrugInteractionAnalyzerAgent",
    "arguments": {
        "compounds": "example_value"
    }
}
result = tu.run(query)

DrugOptimizationAgent (Type: AgenticTool)

AI agent that analyzes drug optimization strategies based on ADMET and efficacy data

DrugOptimizationAgent tool specification

Tool Information:

  • Name: DrugOptimizationAgent

  • Type: AgenticTool

  • Description: AI agent that analyzes drug optimization strategies based on ADMET and efficacy data

Parameters:

  • compounds (string) (required) List of compounds to optimize (comma-separated)

  • admet_data (string) (optional) ADMET properties and issues

  • efficacy_data (string) (optional) Efficacy and potency data

  • target_profile (string) (optional) Target profile and requirements

Example Usage:

query = {
    "name": "DrugOptimizationAgent",
    "arguments": {
        "compounds": "example_value"
    }
}
result = tu.run(query)

LiteratureSynthesisAgent (Type: AgenticTool)

AI agent that synthesizes literature findings and provides evidence-based insights

LiteratureSynthesisAgent tool specification

Tool Information:

  • Name: LiteratureSynthesisAgent

  • Type: AgenticTool

  • Description: AI agent that synthesizes literature findings and provides evidence-based insights

Parameters:

  • topic (string) (required) Research topic or question

  • literature_data (string) (required) Literature findings or abstracts to synthesize

  • focus_area (string) (optional) Specific focus area for synthesis

Example Usage:

query = {
    "name": "LiteratureSynthesisAgent",
    "arguments": {
        "topic": "example_value",
        "literature_data": "example_value"
    }
}
result = tu.run(query)