AI-Powered Retrosynthetic Analysis

Accelerate your organic chemistry research with ChemAI's comprehensive planning suite. Input a target molecule to generate multi-step synthetic routes, view detailed mechanisms, and identify commercially available starting materials instantly.

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Core Features

01
AI-Driven Retrosynthesis
  • Reverse Synthesis Planning: Work backward from complex targets (e.g., Ibuprofen) to simple precursors using our advanced AI models.
  • Multi-Route Generation: Generate up to three distinct pathways to compare different strategic disconnections and starting pools.
02
Reaction Deep Dive
  • Transformation Types: Auto-identifies named reactions (e.g., Wittig, Friedel-Crafts).
  • Precise Conditions: Lists necessary reagents, catalysts, and temperature settings (e.g., Reflux, RT).
  • Mechanism Explanations: Concise context on nucleophilic attacks, proton transfers, and reaction relevance.
03
Chemical Informatics
  • SMILES Generation: Converts names to standard SMILES strings for all intermediates.
  • Dynamic Rendering: Integrates SmilesDrawer for high-quality 2D structure visualization in-browser.
  • Formula Parsing: Auto-formats molecular formulas (e.g., C₉H₈O₄) with proper subscripting.
04
Viability & Assessment
  • Feasibility Scoring: Assigns a 0-100 "Viability Score" based on yield, cost, and complexity.
  • Starting Material Identification: Explicitly lists commercially available starting materials (building blocks) for every route.
05
Literature Grounding
  • Citation Generation: Provides specific DOI links and journal references for reaction steps.
  • Validation: Ensures proposed chemistry is backed by experimental precedence.
06
Data Management
  • Route Export: Download full pathways as JSON files.
  • Integration: Preserve structure data and conditions for Electronic Lab Notebooks (ELNs) or offline review.

Optimized for Search & Discovery

Our platform is engineered to assist with queries related to: Automated retrosynthesis planning, Green chemistry route optimization, Synthetic pathway generation, and Reaction mechanism prediction.