Python client for the Open Targets REST API at targetvalidation.org
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Updated
Aug 22, 2025 - Python
Python client for the Open Targets REST API at targetvalidation.org
A python package to explore pathways, diseases and drugs associated to a list of targets (genes, proteins, etc)
MCP server for Open Targets data
Code for the data processing pipeline
Connecting AI to biomedical data
AI Agent wrappers for Life Sciences APIs (Open Targets, ChEMBL, UniProt). Accelerating drug discovery with Model Context Protocol (MCP) and FastMCP.
Assess the evolution over time of evidence supporting disease-target associations in the Open Targets Platform.
A comprehensive bioinformatics pipeline for downloading and analyzing genes associated with specific phenotypes from multiple biological databases. This package provides both R scripts for gene retrieval and Python analysis tools for downstream analysis.
Multi-source drug-target due-diligence: ranked gene list → per-gene dossier across UniProt, OpenTargets, PubMed + cross-lineage DE scan + composite re-ranking. Claude Code / OpenClaw / SkillsMP skill.
💊 MediPharma — AI-driven drug discovery. ChEMBL 2.4M compounds, OpenTargets, ADMET prediction.
Agent-ready CLI for Open Targets data
Unofficial community-maintained Python client for the Open Targets Platform GraphQL API
An agentic AI pipeline for annotating genetic variants, linking them to disease evidence, and generating structured interpretation reports using biomedical APIs and LLM reasoning.
Medical AI agent orchestration framework built on Harness Theory with pluggable LLMs + MCP tools for clinical diagnosis, drug discovery, and health management.
A reproducible source-aware pipeline for integrating, harmonising, deduplicating, and analysing drug–disease relationships from 11 public biomedical databases, with processed data available on Zenodo.
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