baranwa2 / Struct2GraphLinks
A PyTorch implementation of GCN with mutual attention for protein-protein interaction prediction
☆61Updated 4 years ago
Alternatives and similar repositories for Struct2Graph
Users that are interested in Struct2Graph are comparing it to the libraries listed below
Sorting:
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆60Updated last year
- ☆52Updated last year
- Graph Network for protein-protein interface☆120Updated last year
- Code for "Protein Docking Model Evaluation by Graph Neural Networks"☆59Updated 2 years ago
- Protein-protein interaction sites prediction through combining local and global features with deep neural networks☆54Updated 5 years ago
- ☆130Updated last month
- a deep learning architecture for protein-ligand binding affinity prediction☆76Updated last year
- ☆20Updated 2 years ago
- a novel DTA predition method using graph neural network☆74Updated 2 years ago
- ☆86Updated 2 years ago
- ☆66Updated 2 years ago
- This is the repository for PIPR. This repository contains the source code and links to some datasets used in the ISMB/ECCB-2019 paper "Mu…☆102Updated 2 years ago
- A novel graph neural network strategy with the Vina distance optimization terms to predict protein-ligand binding affinity☆32Updated last year
- ☆70Updated 4 years ago
- A Python 3 version of the protein descriptor package propy☆43Updated 2 years ago
- ☆35Updated 2 years ago
- ☆107Updated last year
- ☆51Updated last year
- Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".☆80Updated 3 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
- A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions☆100Updated 2 weeks ago
- MolMapNet: An Efficient ConvNet with Knowledge-based Molecular Represenations for Molecular Deep Learning☆141Updated 3 months ago
- ☆112Updated last year
- A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)☆64Updated 3 years ago
- Antibody paratope prediction using Graph Neural Networks with minimal feature vectors☆37Updated 2 years ago
- NodeCoder is a general framework based on graph convolutional neural network for protein function prediction.☆33Updated last year
- DeepAAI☆31Updated 7 months ago
- ☆36Updated 2 years ago
- Masif seed paper repository☆156Updated 2 years ago
- Paratope Prediction using Deep Learning☆60Updated 2 years ago