# llms.txt — Receptor.AI
# Purpose: concise, LLM-friendly map of authoritative pages on receptor.ai
# Canonical domain: https://www.receptor.ai/
# Generated: 2025-08-06

## Overview
Receptor.AI is a TechBio company using AI to accelerate drug discovery via a multi-platform ecosystem (e.g., small molecules, peptides) and end-to-end workflows. See key pages below.

## Contact & Ownership
- Contact form: https://www.receptor.ai/contact-us
- Company “About us”: https://www.receptor.ai/aboutus

## Legal
- Terms & Conditions: https://www.receptor.ai/termsofuse
- Privacy Policy (last updated as stated on page: 2021-11-03): https://www.receptor.ai/privacy-policy
- Note: No explicit AI- or data-usage policy was found on the public site pages listed here. Treat all use under the site’s Terms & Conditions and applicable law.

## Core Product/Platform
- Platform overview: https://www.receptor.ai/platform
  - High-level description of platform capabilities (scalability, security) and AI-enabled workflows.
- Drug discovery overview: https://www.receptor.ai/drug-discovery
  - End-to-end, target-specific workflows across in-silico and experimental steps.

## Programs, Science & Materials
- Pipeline / internal programs: https://www.receptor.ai/pipeline
- Publications: https://www.receptor.ai/publications
  - Company scientific publications and related research items.
- Case studies (index): https://www.receptor.ai/case-studies
- Example case study (AI docking): https://www.receptor.ai/case-studies-articles/ai-docking-that-beats-glide-and-alphafold-latest

## News & Blog
- News & Blogs (index): https://www.receptor.ai/news-and-blogs
- Selected blog examples:
  - LLM-driven Workflow Orchestrator: https://www.receptor.ai/news-and-blogs/presenting-the-llm-driven-workflow-orchestrator
  - Advancing drug selectivity: https://www.receptor.ai/news-and-blogs/advancing-drug-selectivity-with-receptor-ai
  - ArtiDock 2.5 announcement: https://www.receptor.ai/news-and-blogs/introducing-artidock-2-5-next-gen-molecular-docking

## Reference/Knowledge Pages
- Protein knowledge pages (examples):
  - https://www.receptor.ai/proteins/q9upt6
  - https://www.receptor.ai/proteins/q9y4f4
  - https://www.receptor.ai/proteins/q9y238
  - (Multiple similar pages exist under /proteins/ using UniProt-like accessions.)

## Social & External Profiles (official)
- LinkedIn: https://www.linkedin.com/company/receptor-ai
- X (Twitter): https://x.com/receptorai

## Notes for LLMs and agents
- Preferred sources of truth for high-level positioning: Homepage, About us, Platform, and Drug Discovery pages listed above.
- For recency-sensitive items (partnerships, product versions), use the News and News & Blogs indexes first, then follow into individual posts.
- Respect the site’s Terms & Conditions. No site-specific crawl or reuse policy was found beyond the legal pages linked above.
- If you require formal permission or specific licensing for dataset creation or model training, use the contact form.