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Remove screening pipeline section

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  1. README.md +6 -16
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  924 million small molecules screened for blood-brain barrier (BBB) permeability using the [BBB-Nuke](https://github.com/ATTN-Lab) pipeline.
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- ## Screening Pipeline
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-
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- Each compound was scored through:
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- 1. **Standardization** - SMILES canonicalization via RDKit
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- 2. **Physicochemical properties** - MW, LogP, TPSA, HBD, HBA, Fsp3, heavy atom count
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- 3. **pKa prediction** - Representative pKa via MolGpKa
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- 4. **CNS-MPO scoring** - Multi-parameter optimization (6 properties)
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- 5. **Efflux transporter prediction** - 7 efflux proteins (MDR1, ABCG2, MRP1/2/4, MATE1, OAT3)
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- 6. **Classifier + heuristic** - Final P_BBB probability score
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-
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  ## Data Sources
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  | Source | Files | Compounds |
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  ## Key Columns
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- - `smiles_standardized` - Canonical SMILES
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- - `p_bbb` - BBB permeability probability (0-1)
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- - `cns_mpo_score` - CNS multi-parameter optimization score
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- - `mw`, `logp`, `tpsa` - Key physicochemical descriptors
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- - `pka_representative` - Predicted pKa
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- - `provenance` - Data source (enamine_real, existing, pubchem)
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  ## Compute
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  924 million small molecules screened for blood-brain barrier (BBB) permeability using the [BBB-Nuke](https://github.com/ATTN-Lab) pipeline.
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  ## Data Sources
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  | Source | Files | Compounds |
 
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  ## Key Columns
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+ - - Canonical SMILES
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+ - - BBB permeability probability (0-1)
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+ - - CNS multi-parameter optimization score
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+ - , , - Key physicochemical descriptors
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+ - - Predicted pKa
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+ - - Data source (enamine_real, existing, pubchem)
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  ## Compute
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