dmis-lab / PerceiverCPI
Bioinformatics'2022 PerceiverCPI: A nested cross-attention network for compound-protein interaction prediction
☆35Updated last year
Alternatives and similar repositories for PerceiverCPI:
Users that are interested in PerceiverCPI are comparing it to the libraries listed below
- A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.☆30Updated 2 years ago
- ☆11Updated last year
- PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence da…☆100Updated 10 months ago
- Learning to design protein-protein interactions with enhanced generalization (ICLR 2024)☆44Updated 3 months ago
- Effective drug-target interaction prediction with mutual interaction neural network☆32Updated 2 years ago
- ☆52Updated 8 months ago
- ☆38Updated last year
- Antibody-Antigen Docking and Affinity Benchmark☆71Updated 4 years ago
- Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"☆66Updated last year
- K-BERT for molecular property prediction.☆29Updated 2 years ago
- Interpretable AI pipeline improving binding predictions for novel protein targets and ligands☆38Updated 11 months ago
- Official implementation for ActFound (Nature Machine Intelligence): A bioactivity foundation model using pairwise meta-learning☆41Updated 5 months ago
- Interpretable AI pipeline improving binding predictions for novel protein targets and ligands☆29Updated 11 months ago
- Graph variational encoders for drug engineering and potentiation☆29Updated last year
- Towards Explainable Target-Aware Molecule Generation with Knowledge Guidance☆31Updated last year
- ☆48Updated last year
- Geometry Deep Learning for Drug Discovery and Life Science☆67Updated last year
- ☆38Updated last year
- a method for CPI and DTA prediction☆10Updated 2 years ago
- ☆36Updated 10 months ago
- ☆53Updated 2 years ago
- Incorporation of conformational space profile into molecular representation learning, and its application to drug discovery, including vi…☆50Updated last month
- Multi-Scale Representation Learning on Proteins (NeurIPS 2021)☆47Updated last year
- a novel DTA predition method using graph neural network☆73Updated last year
- Learning Structure-based Pocket Representations for Protein-Ligand Interaction Prediction☆32Updated last year
- ☆39Updated 2 years ago
- ☆50Updated 8 months ago
- ☆32Updated last year
- A deep learning framework for predicting interactions between protein-protein interaction targets and modulators☆15Updated last year
- ☆18Updated last year