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
Agent execution layer for biology workflows: batch gene scanning, tumor cohort briefing, target discovery — with structured outputs, resume, and pipeline-ready artifacts
Connecting AI to biomedical data
Assess the evolution over time of evidence supporting disease-target associations in the Open Targets Platform.
AI Agent wrappers for Life Sciences APIs (Open Targets, ChEMBL, UniProt). Accelerating drug discovery with Model Context Protocol (MCP) and FastMCP.
High-level feature tracker for all of Open Targets
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.
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.
💊 MediPharma — AI-driven drug discovery. ChEMBL 2.4M compounds, OpenTargets, ADMET prediction.
This repository contains a fully reproducible pipeline for prioritising candidate genes and pathways from GWAS summary statistics using integrative pGWAS functional annotation to identify the most compelling targets for asthma
Agent-ready CLI for Open Targets data
Open Targets Platform REST 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.
Unofficial community-maintained Python client for the Open Targets Platform GraphQL API
Open Targets disease/target/drug knowledge graph (GraphQL)
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