biomed-AI / MUSELinks
☆26Updated last year
Alternatives and similar repositories for MUSE
Users that are interested in MUSE are comparing it to the libraries listed below
Sorting:
- Effective drug-target interaction prediction with mutual interaction neural network☆32Updated 3 years ago
- ☆10Updated last year
- ☆38Updated last year
- ☆53Updated 11 months ago
- PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence da…☆112Updated last year
- Graph variational encoders for drug engineering and potentiation☆30Updated 2 years ago
- MGA☆44Updated 4 years ago
- Sequence-to-drug concept adds a perspective on drug design. It can serve as an alternative method to SBDD, particularly for proteins that…☆70Updated 2 years ago
- K-BERT for molecular property prediction.☆30Updated 3 years ago
- A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.☆32Updated 2 years ago
- Geometry Deep Learning for Drug Discovery and Life Science☆71Updated last year
- ☆76Updated last year
- codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)☆114Updated 10 months ago
- Towards Explainable Target-Aware Molecule Generation with Knowledge Guidance☆34Updated last year
- ☆45Updated last year
- Pytorch Implementation of the original DeepDTA paper (https://github.com/hkmztrk/DeepDTA/)☆12Updated 8 months ago
- Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"☆69Updated last year
- This is The repository for Paper "AttentionSiteDTI: Attention Based Model for Predicting Drug-Target Interaction Using Graph Representati…☆44Updated last year
- [NeurIPS 2023] DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening☆102Updated last year
- ☆65Updated last year
- This repository contains the code for the work on protein-ligand interaction with GNNs and XAI☆35Updated last year
- Official implementation for AAAI 2022 paper: "GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction".☆22Updated 3 years ago
- ☆12Updated 4 years ago
- MONN: a Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Pro…☆104Updated 4 years ago
- Incorporation of conformational space profile into molecular representation learning, and its application to drug discovery, including vi…☆55Updated 3 weeks ago
- 3D_Molecular_Generation☆97Updated 8 months ago
- AttentionDTA: drug--target binding affinity prediction by sequence-based deep learning with attention mechanism☆13Updated 3 years ago
- A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.☆46Updated 3 weeks ago
- [AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"☆34Updated 10 months ago
- ☆23Updated last year