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README.md
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---
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license: mit
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language:
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- en
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tags:
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- chemistry
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- host-guest
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- supramolecular
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- cucurbituril
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- cb7
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- molecular-features
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pretty_name: SAMPL4 CB[7] Guest Features
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size_categories:
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- n<1K
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configs:
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- config_name: default
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data_files:
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- split: test
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path: sampl4_features.csv
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---
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# SAMPL4-FEAT
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Physics- and docking-derived feature table for the **14 CB[7] (cucurbit[7]uril) guest molecules**
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of the [SAMPL4 host–guest blind prediction challenge](https://pubmed.ncbi.nlm.nih.gov/24459881).
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Each row is one guest, identified by molecular name, InChIKey, and SMILES, followed by a set of
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normalized interpretable scores (`S_*`) and the raw physics/docking descriptors they are derived from.
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## Columns (40)
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**Identity (3)**
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- `name` — common name of the guest
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- `inchikey` — standard InChIKey
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- `smiles` — protonated SMILES used for docking
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**Normalized scores (13)** — `S_*` in `[0, 1]`
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`S_charge`, `S_hydrophobic`, `S_rigidity`, `S_desolvation`, `S_packing`, `S_occupancy`,
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`S_shape`, `S_conformer_diversity`, `S_boltzmann_concentration`, `S_portal`, `S_accessibility`,
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`S_orientation`, `S_bad`
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**Raw physics / docking descriptors (24)**
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`DockingScore`, `Pose_Energy`, `Distance_to_Cavity_Center`, `Distance_to_Portal`,
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`Insertion_Depth`, `Packing_Coefficient`, `Occupancy`, `Hydrophobic_Occupancy`,
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`Shape_Complementarity`, `Steric_Clash`, `Guest_CB7_Min_Distance`, `Pose_RMSD_to_Template`,
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`Portal_Compatibility`, `Positive_Center_to_Portal_Distance`, `Positive_Center_Orientation`,
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`Charge_Accessibility`, `Portal_Facing_Accessibility`, `HBond_Count`, `HBond_Geometry`,
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`Carbonyl_Oxygen_Contact_Count`, `Hydrophobic_Contact`, `Polar_Contact_Penalty`,
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`Bad_Group_Portal_Exposure`, `Desolvation_Penalty`
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## Guests (14)
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1-Adamantylamine · 2-Norbornylamine (exo) · 2-Norbornylamine (endo) · Cyclooctylamine ·
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3-Hydroxy-1-adamantylamine · Isoborneolamine · Cycloheptylamine · Cyclohexylamine ·
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Neopentylamine · p-Xylylenediamine · 1-(2-Aminoethyl)piperazine · trans-1,2-Diaminocyclohexane ·
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4-Aminocyclohexanol (trans) · 6-Amino-1-hexanol
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("SupraBench/SAMPL4-FEAT", split="test")
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print(ds[0]["name"], ds[0]["inchikey"], ds[0]["DockingScore"])
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```
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## Citation
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Muddana, H. S., et al. *The SAMPL4 host–guest blind prediction challenge: an overview.*
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J. Comput. Aided Mol. Des. (2014). https://pubmed.ncbi.nlm.nih.gov/24459881
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