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ProteonIQ
ProteonIQ is a modular bioinformatics platform combining 3D structure analysis, mutation simulation, drug docking, symbolic AI reasoning, multi-provider LLMs, and voice assistant for explainable protein intelligence.
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2026-07-30
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FR-AI / ANALYSISWhy it is worth attention
It integrates 13 interactive tools—including forward/backward chaining expert systems, AR/VR 3D export, and a voice-activated AI lab assistant—within a single Streamlit application, delivering a comprehensive and modern interface for structural bioinformatics.
Who it is for
- computational biology and structural biology researchers
- bioinformaticians and drug discovery scientists
- medical and graduate students learning protein science
- pharmaceutical researchers evaluating in-silico drug interactions
Use cases
- in-silico mutation impact analysis (e.g., TP53 R273H) with thermodynamic and steric clash scoring
- virtual docking of FDA-approved drugs into target binding pockets
- literature mining from PubMed/bioRxiv with LLM-generated abstract summaries
- educational demonstrations using persona-driven explainable AI (beginner to researcher levels)
Strengths
- modular architecture with 13 dedicated views covering mutation, docking, reasoning, and knowledge graphs
- dual symbolic AI engines (forward/backward chaining) with interactive trace visualization
- integration of external APIs (AlphaFold, UniProt, NCBI PubMed) for live data retrieval
- voice-activated AI assistant and AR/VR 3D model export (.OBJ) for immersive analysis
Considerations
- explicitly not intended for clinical diagnosis or treatment planning
- full LLM features require external API keys (Groq or Gemini) though offline fallbacks exist
- computational predictions (ΔΔG, docking affinity) are simulation-based and lack experimental validation benchmarks
README quick start
🧬 ProteonIQ
Explainable Protein Intelligence & In-Silico Structural Bioinformatics Platform
⚡ Overview
ProteonIQ is a next-generation computational biology platform engineered to bridge the gap between 3D macromolecular structures, clinical genomics, symbolic AI rule engines, and multi-provider Large Language Models (Groq LLaMA-3.3 70B & Google Gemini 2.5 Flash).
Inspired by modern bioinformatics interfaces like biotx.ai and Pixl.bio, ProteonIQ combines deep obsidian dark modes, terminal data styling, glowing ATGC sequence strips, and 13 modular interactive toolkits.
🔥 Key Features
1. 🧬 In-Silico 3D Mutation Impact Simulator
- Residue Substitution Engine: Select any wild-type residue and target amino acid mutation (e.g.
TP53 R273H). - Thermodynamic Predictor: Computes free energy shifts ($\Delta\Delta G$ kcal/mol), hydrophobic deltas, and side-chain steric clash scores.
- Clinical Hotspot Mapping: Detects known pathogenic mutation hotspots (e.g.
EGFR T790M,BRCA1 C61G) with real-time risk indicators. - 3D Mutant Viewer: Visualizes target residue positions directly on 3Dmol.js WebGL structures.
2. 💊 Virtual Drug Docking Sandbox
- Ligand-Target Interface: Dock FDA-approved drugs and small molecules (e.g. Erlotinib, Olaparib, Nutlin-3a, APR-246) into active site binding pockets.
- Affinity & Kinetics Engine: Computes binding free energy ($\Delta G$ kcal/mol), inhibition constants ($K_i$ in nM), hydrogen bond counts, and interacting contact residue maps.
- SMILES & Active Site Data: Real-time small-molecule structure visualization and binding pocket metrics.
3. 🎙️ Voice-Activated AI Lab Assistant
- Web Speech API: Hands-free voice recognition allowing users to speak queries directly into the microphone.
- Command Engine: Preset voice commands ("Summarize TP53", "Explain drug targets", "Mutation hotspots").
- Text-to-Speech (TTS): Built-in SpeechSynthesis audio engine for spoken AI explanations.
4. 📰 Live PubMed & bioRxiv Literature Stream
- NCBI Entrez eUtils Integration: Live querying of 2026 biomedical peer-reviewed papers.
- LLM Abstract Summarizer: Single-click paper summarizer deriving core findings, biolog
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