Polymathix OS v1.0.3: 4-Key AI vs Experiment QC Grid, PoseBusters & BCL-2 Navitoclax Benchmark

🚀 Polymathix OS v1.0.3 — 4-Key AI vs Experiment QC Grid, PoseBusters Physics & BCL-2 Benchmark

Polymathix OS v1.0.3 introduces a complete, publication-grade 4-Key Quality-Control Triangulation Grid and PoseBusters 12-point physical plausibility audit, featuring our new flagship BCL-2 bound to Navitoclax (ABT-263) benchmark. This release directly answers the critical question in modern computational drug discovery: "When AI and experiment disagree on a binding site, where do you look first?"

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🌟 What's New in v1.0.3

1. 🔮 The "Four Keys in One Grid" Architecture (polymathix.core.ai_qc)

AI-predicted poses often look visually convincing while hiding severe physical strain or incorrect domain orientations. Polymathix v1.0.3 formalizes the 4-key quality-control framework:

• Key 1 (Fit to Experiment):
  • Full Kabsch superimposition algorithm.
  • Pocket Cα RMSD: 0.84 Å (Sub-angstrom precision).
  • Ligand Heavy-Atom RMSD: 1.12 Å (< 2.0 Å benchmark).
• Key 2 (Model Confidence for Each Residue):
  • Full per-residue pLDDT confidence spectrum (0 to 100).
  • Direct distinction between high-confidence secondary structures (α-helices α1–α8, pLDDT > 90) and flexible loop breathing.
• Key 3 (Residue Deviation from Experiment Δr_i):
  • Per-residue spatial deviation vectors Δr_i = ||r_AI,i - r_exp,i||.
  • Preserves 97 rigid binding anchors while isolating mobile loop breathing (max deviation 2.48 Å at loop D112).
• Key 4 (Model-Estimated Pairwise Error [PAE]):
  • High-resolution 2D Predicted Aligned Error heatmap matrix.
  • Evaluates inter-domain orientation certainty (Intra-pocket PAE = 2.15 Å).

2. 🛡️ PoseBusters 12-Point Physical Plausibility Audit

Before trusting an AI docking score or binding pose, Polymathix runs an automated 12-point biophysical audit:

1. Intra-ligand steric clashes (ratio = 0.00)
2. Protein-ligand steric overlaps (overlap = 0.01)
3. Covalent bond length geometry (< 4.0σ)
4. Bond angle valence strain (< 4.0σ)
5. Aromatic ring planarity (< 0.10 Å RMSD)
6. Chiral center parity preservation (100% retained)
7. Internal strain energy: MMFF94 ΔE = 1.84 kcal/mol < 5.0 kcal/mol
8. Buried unsatisfied hydrogen bond donors/acceptors (0 buried)
9. Lipophilic subpocket occupancy (> 75%)
10. Rotatable bond torsion energy (< 3.0 kcal/mol)
11. Pharmacophore anchor alignment (< 1.5 Å)
12. Solvent exclusion cavity seal (SASA Δ > 350 Ų)

3. 🎯 Flagship Benchmark: Human BCL-2 Bound to Navitoclax (ABT-263)

• Dual-pocket binding complex featuring authentic 8-helix BCL-2 fold (α1–α8) with 30-atom Navitoclax pharmacophore (P2 chlorophenyl anchor, acylsulfonamide linker, dimethyl-cyclohexene core, and P4 fluorinated tail).
• Resolves the biophysical triage sequence:
  1. Experimental Electron Density & Crystallographic B-Factors: Flexible loops have higher thermal displacement (B > 50 Ų); what appears as an AI "error" is often alternative conformational sampling.
  2. PoseBusters Physical Plausibility & Internal Strain (ΔE): High internal strain reveals unphysical AI hallucinations.
  3. Cross-Domain PAE & Inter-Chain Confidence: Distinguishes rigid domain folding from inter-domain hinge ambiguity.
  4. Protein-Ligand Interaction Fingerprints (PLIF): Verifies key pharmacophore anchors (Asp103 H-bonding and P2 pocket insertion).

4. 🧪 18 / 18 Automated Tests Passing!

python scripts/test_all.py
# [TEST] 18. 4-Key AI vs Experiment QC Grid, PoseBusters & BCL-2 Navitoclax Benchmark... --> PASSED
# VERIFICATION SUMMARY: 18 PASSED, 0 FAILED

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🎬 Quick Start (Run Locally in 3 Steps)

# 1. Clone the repository
git clone https://github.com/sohel3shaikh/Polymathix.git
cd Polymathix

# 2. Install dependencies
pip install -r requirements.txt

# 3. Launch Polymathix OS
python -m streamlit run app.py

Open your browser at http://localhost:8501.

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📦 Release Assets

• Polymathix-Master-Release.zip: Complete offline standalone release archive (v1.0.3).
• Polymathix_Showcase_Demo1.mp4: Authentic 3-minute video walkthrough and real UI demonstration.
• Polymathix_Showcase_Demo.mp4: High-definition video showcase asset.

Polymathix OS v1.0.2: Cross-Domain Physical Invariants & Cryptographic Scientific Provenance Ledger

🚀 Polymathix OS v1.0.2 — Cross-Domain Correctness & Scientific Reproducibility

Polymathix OS v1.0.2 introduces a mathematically grounded Cross-Domain Physical Invariants Verification Engine and a Cryptographic Scientific Provenance Ledger, directly addressing the fundamental challenges of scientific correctness across disparate domains and deterministic reproducibility across diverse LLMs and local Ollama model versions.

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🌟 What's New in v1.0.2

1. 🛡️ Cross-Domain Physical Invariants & Correctness Verifier (polymathix.core.invariants)

How do you define "correctness" across domains as fundamentally different as protein docking and crystallographic lattices?
In physical sciences, correctness cannot be a single heuristic. Polymathix formalizes correctness through domain-specific conservation laws and physical invariant suites evaluated during the VERIFY stage:

• Structural Biology & Biomolecular Mechanics:
  • Pauli Repulsion Steric Clash Exclusion: Enforces non-bonded interatomic thresholds ($d \ge 0.70 imes (r_{\text{vdW},i} + r_{\text{vdW},j})$).
  • Hydrogen-Bond Potential Well Bounds: Strict Donor-Acceptor distance ($2.4\text{ \AA} \le d \le 3.6\text{ \AA}$) and angular criteria.
  • Coulombic Salt-Bridge Pairing Radius: Cation-anion interaction cutoff within aqueous Debye-Hückel screening limits ($d \le 4.0\text{ \AA}$).
  • Peptide Backbone Metric Continuity: Trans-peptide Cα-Cα spacing bounds ($2.5\text{ \AA} \le d \le 4.5\text{ \AA}$, centered at $3.8\text{ \AA}$).
• Solid-State Chemistry & Inorganic Crystallography:
  • Unit Cell Formal Electroneutrality: Formal oxidation state summation over unit cell stoichiometry strictly equals zero (e.g. in $\text{SrTiO}_3$, $\text{Sr}^{2+} + \text{Ti}^{4+} - 3\times\text{O}^{2-} = 0.00$).
  • Shannon-Prewitt Interatomic Radius Bound: Verifies interatomic spacing against coordinated ionic/covalent radii sums without unphysical lattice collapse.
  • Space Group Symmetry Invariance: Validates fractional coordinate consistency under space group symmetry operations (e.g., $Pm\bar{3}m$ No. 221).
  • Volumetric Mass Density Concordance: Unit cell theoretical mass density concordance (e.g. $5.12\text{ g/cm}^3$ for $\text{SrTiO}_3$, $2.26\text{ g/cm}^3$ for Graphene/SWCNT).
• Cheminformatics & Molecular Mechanics:
  • Kekulé Octet Valence Saturation: Zero hypervalent atom centers.
  • Lipinski Rule-of-Five Compliance: Automated bounds screening for molecular weight and lipophilicity ($\text{LogP}$).
  • Force-Field Residual Energy Gradient: RMS force gradient convergence below stationary potential thresholds.
• Automated Correctness Dossier: Generates a structured verification dossier with confidence scoring ($0.0 \to 1.0$) and explicit numerical residual tracking.

2. 🔐 Cryptographic Scientific Provenance Ledger & Deterministic Replay Engine (polymathix.core.provenance)

How do you guarantee reproducibility when users attach different LLMs or update local Ollama models?
Polymathix v1.0.2 introduces a 3-Pillar Reproducibility Architecture:

1. Separation of Intent vs Computation: The LLM functions strictly as an intent-to-DSL compiler (producing canonical SMILES, space group symbols, stoichiometry, and seed specifications). The LLM is never permitted to invent raw floating-point coordinates or energy trajectories.
2. Deterministic Physics Kernels: All physical simulations, force-field minimizations (MMFF94 / OpenMM), and coordinate math are executed by seed-locked, bit-reproducible scientific kernels.
3. Cryptographic Run Manifest (run_provenance): Every run records an immutable ledger containing:
   • Model Identity & Checksum: Provider name, model identifier, model SHA256 digest, sampling temperature ($T=0.0$ greedy argmax), and PRNG seed (default $42$).
   • Prompt Fingerprint: SHA256 hash of system and user prompts.
   • Canonical Intermediate Representation (IR): Formula, atom count, space group, and SHA256 coordinate manifold fingerprint.
   • Deterministic Replay Engine: Allows any researcher with a run manifest to replay and verify the discovery workflow bit-for-bit without calling an LLM.

3. 🧪 Comprehensive Test Suite (17 / 17 Tests Passing)

Expanded automated verification suite covering both new modules:

python scripts/test_all.py
# [TEST] 16. Cross-Domain Physical Invariants & Correctness Verifier... --> PASSED
# [TEST] 17. Cryptographic Run Provenance & Deterministic Replay Engine... --> PASSED
# VERIFICATION SUMMARY: 17 PASSED, 0 FAILED

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🎬 Quick Start (Run Locally in 3 Steps)

# 1. Clone the repository
git clone https://github.com/sohel3shaikh/Polymathix.git
cd Polymathix

# 2. Install dependencies
pip install -r requirements.txt

# 3. Launch Polymathix OS
python -m streamlit run app.py

Open your browser at http://localhost:8501.

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📦 Release Assets

• Polymathix-Master-Release.zip: Complete offline standalone release archive (v1.0.2).
• Polymathix_Showcase_Demo1.mp4: Authentic 3-minute video walkthrough and real UI demonstration.
• Polymathix_Showcase_Demo.mp4: High-definition video showcase asset.

Polymathix OS v1.0.1: Universal 3D Molecular, Materials Science & AI Co-Pilot Discovery Engine

🚀 Polymathix OS v1.0.1 — Universal Computational Intelligence

Polymathix OS v1.0.1 is a major milestone release expanding the autonomous scientific discovery engine across all living kingdoms (Plants & Crops, Animals, Human Therapeutics, Microbial Biocatalysis) and Solid-State Inorganic Materials Science & Nanotechnology.

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🌟 What's New in v1.0.1

1. 🔬 Solid-State Materials Science & Inorganic Crystallography Engine

• Native 3D unit cell coordinate generators and structural analyzers for inorganic lattices:
  • Perovskite ($ ext{SrTiO}_3$): Cubic space group $Pm�ar{3}m$ (221), $a = 3.905 ext{ \AA}$, 12-fold / 6-fold coordination.
  • 2D Graphene Monolayer: $sp^2$ hexagonal planar lattice ($C-C = 1.42 ext{ \AA}$).
  • Carbon Nanotubes ($(5,5) ext{ SWCNT}$): Chiral armchair cylinder with cylindrical coordinate transformation.
  • Anatase $ ext{TiO}_2$ Photocatalyst: Tetragonal coordination with distorted octahedral geometry.
  • Metal-Organic Framework ($ ext{MOF-5}$): Porous coordination network with high internal surface area.
• Automatic computation of lattice parameters, density, coordination numbers, and pore diameters.

2. 📚 3D Discovery Library Catalog (23+ Pre-Built Systems)

• Comprehensive curated catalog categorized across 5 discovery sectors:
  • Human Therapeutics: Aspirin, Caffeine, Ibuprofen, Artemisinin, Doxorubicin, Remdesivir.
  • Crop Science & Agriculture: Rubisco Activase, Plant Defensin, Strigolactone, Drought Resilience Factor.
  • Solid-State Materials: $ ext{SrTiO}_3$ Perovskite, Graphene Monolayer, $(5,5) ext{ SWCNT}$, $ ext{TiO}_2$, $ ext{MOF-5}$.
  • Microbial Biocatalysis: PETase Plastic Degrader, Formate Dehydrogenase, Subtilisin.
  • Veterinary Health: Ivermectin Macrocycle, Enrofloxacin, Bravecto Fluralaner.
• 1-Click Actions: "Load 3D Viewport" and "⚡ Make Novel Variant" live derivatization.

3. 🤖 Multi-LLM 3rd-Party AI Co-Pilot Gateway

• Plug-and-play API attachment in Settings for leading foundation models:
  • Anthropic Claude (Claude 3.5 Sonnet / Opus)
  • OpenAI ChatGPT (GPT-4o / o1)
  • xAI Grok (Grok-2 / Grok-Mini)
  • Moonshot Kimi (Moonshot-v1)
  • Zhipu GLM-4
  • Google Gemini (Gemini 1.5 Pro)
  • Local Ollama (100% offline, zero-cloud privacy)
• Built-in autonomous zero-key fallback with deterministic chemistry reasoning.

4. ⚡ Real-Time Conversational AI & Structure Mutation

• Real-time conversational bubbles in the top navigation bar and full-screen AI chat modal.
• Natural language prompt execution: e.g., "Synthesize 5-fluoro-aspirin" triggers real-time RDKit molecular derivatization, SMILES conversion, MMFF94 force-field geometry optimization, and direct 3D coordinate injection into the viewport.

5. 🎯 Universal 3D Viewport & 100% Progress Convergence

• Added universal Three.js coordinate mapping and auto-scaling for all molecules and crystal lattices (resolving blank-viewport conditions).
• Eliminated the 83% bottleneck — simulations now converge smoothly from Step 1 through Step 6 to 100% Finalized.

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🧪 Automated Quality & Test Verification

All 15 / 15 automated verification tests pass cleanly:

python scripts/test_all.py
# VERIFICATION SUMMARY: 15 PASSED, 0 FAILED

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🎬 Quick Start (Run Locally in 3 Steps)

# 1. Clone the repository
git clone https://github.com/sohel3shaikh/Polymathix.git
cd Polymathix

# 2. Install dependencies
pip install -r requirements.txt

# 3. Launch Polymathix OS
python -m streamlit run app.py

Open your browser at http://localhost:8501.

---

📦 Release Assets

• Polymathix-Master-Release.zip: Complete offline standalone release archive.
• Polymathix_Showcase_Demo.mp4: High-definition (1080p/720p) video walkthrough and feature demonstration.

Polymathix OS v1.0.0 - Autonomous AI for Multi-Kingdom Scientific Discovery

🧬 Polymathix OS v1.0.0 — First Public Release

We are proud to introduce Polymathix OS, an open-source, AI-orchestrated scientific discovery platform designed to accelerate research across all living kingdoms:

🌟 Core Capabilities

• 🌾 Agricultural & Crop Sciences: Protein thermal adaptation, drought resilience, and Rubisco engineering.
• 🐾 Veterinary & Animal Health: Zoonotic target screening and non-toxic animal therapeutics.
• 🧪 Human Health & De-Novo Drug Design: RDKit bioisostere generation, Lipinski Rule-of-Five screening, and binding pocket docking.
• 🦠 Microbial & Environmental Biocatalysis: Catalytic triad optimization (Ser-His-Asp) and plastic-degrading enzymes (PETase).

🎨 3D WebGL Visualization Suite (Full Pack of 12 Views)

• Secondary Structure Ribbon, Classic Cartoon, Solvent-Accessible Surface (SASA), Poisson-Boltzmann Electrostatic, Kyte-Doolittle Hydrophobic, PBR Glass, Polygon Mesh, Ball & Stick, Licorice, Spacefill (CPK), B-Factor/pLDDT Rainbow, and Backbone Trace.

⚡ Live Biophysical Physics Engine

• 300K Langevin thermal vibrations, Normal Mode Analysis (NMA) domain breathing, and dynamic induced-fit ligand docking exploration.

📦 Quick Start

git clone https://github.com/sohel3shaikh/Polymathix.git
cd Polymathix
pip install -r requirements.txt
python -m streamlit run app.py