Datasets › BBBP (Blood-Brain Barrier Penetration)

BBBP (Blood-Brain Barrier Penetration)

archive 2025-07-28

The BBBP dataset comes from a study focused on modeling and predicting the permeability of the blood-brain barrier. The BBBP dataset contains binary labels indicating whether a compound can penetrate the blood-brain barrier (BBB) or not. Researchers use this dataset to develop and evaluate machine learning methods for predicting BBB permeability. It’s a critical task because understanding which compounds can cross the BBB is essential for drug discovery and designing therapeutics for neurological conditions.

Check https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708321/

Benchmarks archive 2025-07-28

All 5 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

Papers archive 2025-07-28

27 shown of 27 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 28. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Integrating convolutional layers and biformer network with forward-forward and backpropagation training 1 1 28 Feb 2025 not harvested
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck 1 1 20 Feb 2025 not harvested
Dumpling GNN: Hybrid GNN Enables Better ADC Payload Activity Prediction Based on Chemical Structure 0 1 23 Sep 2024 not harvested
A Bayesian Flow Network Framework for Chemistry Tasks 1 1 28 Jul 2024 not harvested
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning 1 1 22 Feb 2024 ran 8 of 15 samples (7 unverified)
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns 1 1 21 Dec 2023 ran 13 of 13 samples (0 unverified; 13 pointer-only for licence)
SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations 1 1 21 Sep 2023 not harvested
Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties 1 1 17 Sep 2023 not harvested
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text 1 1 14 Aug 2023 ran 1 of 1 samples (0 unverified)
MolXPT: Wrapping Molecules with Text for Generative Pre-training 1 1 18 May 2023 not harvested
SELFormer: Molecular Representation Learning via SELFIES Language Models 1 1 10 Apr 2023 not harvested
Pushing the boundaries of molecular property prediction for drug discovery with multitask learning BERT enhanced by SMILES enumeration 1 3 15 Dec 2022 not harvested
Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model 1 1 19 Nov 2022 ran 1 of 2 samples (1 unverified)
Galactica: A Large Language Model for Science 1 6 16 Nov 2022 ran 0 of 2 samples (2 unverified)
Uni-Mol: A Universal 3D Molecular Representation Learning Framework 1 1 8 Sep 2022 not harvested
ChemBERTa-2: Towards Chemical Foundation Models 2 1 5 Sep 2022 not harvested
An adaptive graph learning method for automated molecular interactions and properties predictions 1 1 23 Jun 2022 not harvested
Accurate ADMET Prediction with XGBoost 1 1 15 Apr 2022 not harvested
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport 1 1 20 Mar 2022 ran 0 of 2 samples (2 unverified)
ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction 0 1 11 Jun 2021 not harvested
Accurate Learning of Graph Representations with Graph Multiset Pooling 1 1 23 Feb 2021 ran 4 of 5 samples (1 unverified; 5 pointer-only for licence)
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development 2 2 18 Feb 2021 ran 1 of 1 samples (0 unverified)
Self-Supervised Graph Transformer on Large-Scale Molecular Data 3 2 18 Jun 2020 not harvested
Optimal Transport Graph Neural Networks 2 1 8 Jun 2020 ran 1 of 1 samples (0 unverified; 1 pointer-only for licence)
Strategies for Pre-training Graph Neural Networks 11 2 29 May 2019 ran 10 of 14 samples (4 unverified; 2 pointer-only for licence)
Analyzing Learned Molecular Representations for Property Prediction 4 1 2 Apr 2019 ran 3 of 15 samples (12 unverified)
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules 1 2 24 Jun 2018 ran 0 of 14 samples (14 unverified)

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • BBBP
  • BBBP (Blood-Brain Barrier Penetration)

2 variant names, as the archive lists them.

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