What PhiDock Is — And Why It Matters
Physics-informed, decision-grade molecular docking evaluation for modern drug discovery.
What PhiDock Is (and Is Not)
PhiDock is a decision-grade evaluation layer that sits after classical docking and before wet-lab validation or molecular dynamics. It provides physics-informed assessment to guide your research decisions.
What It Is
- Decision-grade evaluation layer
- Physics-informed and stability-aware
- GO / NO-GO decision output
- Designed to reduce false positives
What It Is Not
- Not a docking engine
- Not molecular dynamics
- Not a scoring leaderboard
- Not a black-box AI
Why Docking Scores Alone Are Not Enough
Classical docking provides static snapshots of binding, but binding is dynamic and time-dependent. False positives are common, leading to high downstream lab costs and wasted resources.
Static Snapshots
Docking scores capture a single moment in time, missing the dynamic nature of molecular interactions.
No Stability Insight
Traditional methods don't assess whether binding configurations remain stable over time.
High Experimental Attrition
Unstable candidates progress to expensive lab work, consuming time and budget before failing.
A Physics-Informed Decision Layer
PhiDock evaluates docking results through a physics-informed lens, providing decision-grade assessment without exposing proprietary methods.
Time-Aware Evaluation
Assesses binding configurations not just at a single moment, but with consideration for temporal stability and interaction consistency.
Interaction Consistency
Evaluates whether molecular interactions remain consistent and stable under realistic conditions.
Sensitivity to Perturbations
Tests how binding configurations respond to small changes, identifying candidates that may be unstable in real-world conditions.
Explainable Rejection Logic
Provides clear, physics-based rationale for GO / NO-GO decisions, enabling research teams to understand and trust the evaluation.
What PhiDock Delivers
GO / NO-GO Decision
Clear, actionable decision output for each candidate structure.
Physical Rationale
Physics-based explanation for each decision, supporting research understanding.
Stability Diagnostics
Detailed assessment of binding stability and interaction quality.
Confidence Signal
Clear confidence indicators to help teams prioritize candidates effectively.
PhiDock is designed to stop unstable candidates early, before they consume lab time and budget.
Independently Validated
PhiDock has been evaluated against industry-standard benchmarks to assess its decision-making performance.
Detailed benchmark disclosures are available under NDA.
Designed For
Biotech Discovery Teams
Computational Chemistry Groups
AI-Driven Drug Discovery Platforms
Research Institutions
Ready to Evaluate PhiDock?
Discover how our platform can enhance your molecular decision-making process.