dmis-lab / MulinforCPILinks
MulinforCPI: enhancing precision of compound-protein interaction prediction through novel perspectives on multi-level information integration
☆10Updated last year
Alternatives and similar repositories for MulinforCPI
Users that are interested in MulinforCPI are comparing it to the libraries listed below
Sorting:
- ☆11Updated 2 years ago
- codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)☆116Updated last year
- Official implementation for AAAI 2022 paper: "GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction".☆22Updated 3 years ago
- The code for SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network.☆11Updated 3 years ago
- SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction (Briefings in Bioinformatics 2023)☆53Updated last year
- Associated Repository for "Translation between Molecules and Natural Language"☆183Updated 2 years ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆124Updated 2 years ago
- Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".☆129Updated last year
- ☆47Updated last year
- ☆29Updated 4 years ago
- [BIB 2023] Official implementation of "R2-DDI: Relation-aware Feature Refinement for Drug-drug Interaction Prediction".☆13Updated last year
- ☆54Updated last year
- Implementation of Fragment-based Pretraining and Finetuning on Molecular Graphs (NeurIPS 2023)☆20Updated last year
- Repo of pharmacophoric constrained heterogeneous-graph-transformer☆17Updated 2 years ago
- ☆39Updated last year
- Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)☆198Updated 3 years ago
- Interpretable bilinear attention network with domain adaptation improves drug-target prediction.☆128Updated 2 years ago
- ☆27Updated 2 years ago
- GraphDTA: Predicting drug-target binding affinity with graph neural networks☆271Updated 4 years ago
- The implementation of the paper "Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry".☆45Updated 9 months ago
- [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"☆125Updated 2 years ago
- Bioinformatics'2022 PerceiverCPI: A nested cross-attention network for compound-protein interaction prediction☆36Updated last year
- related to graph and deep Learning for drug-drug interactions prediction.☆28Updated 2 years ago
- Pytorch Implementation of the original DeepDTA paper (https://github.com/hkmztrk/DeepDTA/)☆12Updated 9 months ago
- K-BERT for molecular property prediction.☆30Updated 3 years ago
- PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence da…☆115Updated last year
- ☆89Updated 2 years ago
- Code for AAAI 2024 paper "PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein In…☆28Updated 7 months ago
- Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"☆28Updated 3 years ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆44Updated 3 years ago