LZ Packs
LZ Packs are pre-validated target bundles provided by LatticeZero. Each pack includes a prepared receptor, optimized scoring profile, reference actives and decoys, and published benchmark results. They're the fastest way to get production-ready scoring on well-studied targets.
What's in a LZ Pack?
| Component | Description |
|---|---|
| Receptor Grid | Pre-computed scoring grid ready for IsoPose/IsoScore |
| Scoring Profile | Optimized weights validated against DEKOIS2 benchmarks |
| Reference Actives | Known active compounds with 3D poses |
| Reference Decoys | Matched decoys for benchmarking |
| Manifest | Metadata including target class, AUC, pose source, validation stats |
Available LZ Packs (46 targets)
LZ Packs span 46 validated targets across multiple protein families. Poses are generated using three docking engines:
- GA — Genetic Algorithm (LZ Dock 2.0)
- FFT — Fast Fourier Transform grid docking
- AMR — Adaptive Multi-Resolution docking
| Target | Class | AUC | Ligands | Pose Source |
|---|---|---|---|---|
| HIV1PR | Aspartyl Protease | 1.000 | 620 | External |
| HMGR | Reductase | 0.981 | 1237 | External |
| DHFR | Reductase | 0.981 | 240 | External |
| RXR | Nuclear Receptor | 0.974 | 959 | GA |
| P38A | Kinase | 0.966 | 240 | GA |
| ACE | Metalloprotease | 0.957 | 240 | GA |
| HIVRT | Polymerase | 0.944 | 240 | External |
| NA | Glycosidase | 0.942 | 1239 | External |
| FKBP1A | Immunophilin | 0.941 | 1231 | GA |
| BACE1 | Protease | 0.941 | 240 | GA |
| HDAC2 | Metalloenzyme | 0.928 | 200 | GA |
| PARP1 | Enzyme | 0.918 | 240 | AMR |
| PPARA | Nuclear Receptor | 0.917 | 1138 | GA |
| EGFR | Kinase | 0.916 | 240 | GA |
| MCL1 | BCL2 Family | 0.915 | 250 | GA |
| BRAF | Kinase | 0.915 | 1209 | External |
| JAK2 | Kinase | 0.908 | 1653 | External |
| ADRB2 | GPCR | 0.902 | 620 | External |
| CDK2 | Kinase | 0.899 | 239 | External |
| UROK | Serine Protease | 0.894 | 240 | AMR |
| COX2 | Cyclooxygenase | 0.894 | 240 | External |
| GBA | Hydrolase | 0.889 | 240 | GA |
| PPARG | Nuclear Receptor | 0.872 | 1140 | GA |
| HSP90 | Chaperone | 0.867 | 240 | GA |
| PDE5 | Enzyme | 0.867 | 200 | GA |
| MDM2 | PPI Hotspot | 0.855 | 240 | GA |
| AKT1 | Kinase | 0.850 | 1182 | GA |
| CATL | Cysteine Protease | 0.842 | 1233 | External |
| HDAC8 | Metalloenzyme | 0.841 | 1234 | External |
| FXa | Serine Protease | 0.840 | 240 | FFT |
| A2A | GPCR | 0.835 | 240 | AMR |
| Thrombin | Serine Protease | 0.834 | 240 | FFT |
| AmpC | Beta Lactamase | 0.827 | 240 | GA |
| AURKA | Kinase | 0.810 | 240 | GA |
| CTSK | Cysteine Protease | 0.805 | 1235 | GA |
| ESR1 | Nuclear Receptor | 0.801 | 245 | GA |
| TP | Transferase | 0.792 | 1018 | GA |
| BCL2 | Apoptosis Regulator | 0.786 | 1188 | GA |
| SIRT2 | Deacetylase | 0.775 | 1165 | GA |
| VEGFR2 | Kinase | 0.758 | 1177 | GA |
| AR | Nuclear Receptor | 0.721 | 632 | External |
| PDE4B | Phosphodiesterase | 0.719 | 1232 | External |
| TK | Kinase | 0.714 | 1234 | GA |
| SRC | Kinase | 0.711 | 240 | External |
| GSK3B | Ser/Thr Kinase | 0.710 | 1206 | GA |
| MMP2 | Metalloproteinase | 0.705 | 1228 | External |
Using LZ Packs
Browsing the Library
- Go to Target Library in the sidebar, or navigate to
/packs - Click the LZ Packs tab
- Use the search bar to find targets by name or class
- Filter by pose source (GA, FFT, AMR, External)
- Click column headers to sort by target name, AUC, class, or ligand count
Loading a Pack
- Find your target in the LZ Packs table
- Click Download to get the bundle
- Import the bundle into your project — the target, profile, and reference compounds load automatically
Scoring with a LZ Pack
Once loaded, the pack's target and profile are ready to use:
- Go to Workbench > IsoScore (or IsoPose)
- Select the LZ Pack target
- Upload your own ligands
- The optimized profile is automatically selected
- Click Run
Validating the Pack
To verify the pack works on your system:
- After loading, click Run Benchmark
- This scores the included reference actives and decoys
- Compare your AUC to the published value
- Results should match within ±0.02 AUC
Building Your Own Pack
You can create your own validated bundles for proprietary targets:
- Prepare your target using Target Prep
- Optimize a profile using the Optimizer with your known actives/decoys
- Validate by running the benchmark and checking AUC
- Save the target, profile, and reference compounds as a project
Next Steps
- Scoring Profiles — Understand how profile weights affect scoring
- Demo & Benchmarks — Try targets interactively before loading packs
- Optimizer — Create optimized profiles for your own targets