peizhenbai / DrugBANLinks
Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
☆132Updated 2 years ago
Alternatives and similar repositories for DrugBAN
Users that are interested in DrugBAN are comparing it to the libraries listed below
Sorting:
- codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)☆117Updated last year
- Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".☆83Updated 3 years ago
- ☆92Updated 2 years ago
- A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.☆32Updated 2 years ago
- ☆58Updated last year
- a novel DTA predition method using graph neural network☆76Updated 2 years ago
- Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2☆17Updated 2 years ago
- HyperAttentionDTI: improving drug–protein interaction prediction by sequence-based deep learning with attention mechanism. This repositor…☆44Updated 4 years ago
- ☆45Updated 2 years ago
- ☆93Updated 2 years ago
- A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.☆51Updated 3 months ago
- ☆40Updated last year
- MONN: a Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Pro…☆104Updated 5 years ago
- ☆26Updated last year
- MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)☆219Updated 3 years ago
- DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences☆78Updated 3 years ago
- Predicting Drug Protein Interaction using Quasi-Visual Question Answering System☆125Updated last year
- PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence da…☆117Updated last year
- Sequence-to-drug concept adds a perspective on drug design. It can serve as an alternative method to SBDD, particularly for proteins that…☆77Updated 2 years ago
- TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label…☆151Updated 3 years ago
- SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction (Briefings in Bioinformatics 2023)☆55Updated last year
- Official implementation of 'Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity' (KDD…☆39Updated 3 years ago
- This is The repository for Paper "AttentionSiteDTI: Attention Based Model for Predicting Drug-Target Interaction Using Graph Representati…☆45Updated last year
- ☆13Updated 4 years ago
- [NeurIPS 2023] DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening☆116Updated last year
- ☆46Updated last year
- ☆14Updated 3 years ago
- ☆53Updated last year
- Geometry Deep Learning for Drug Discovery and Life Science☆71Updated last year
- Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)☆201Updated 3 years ago