fouticus / pipgcn
Protein Interface Prediction using Graph Convolutional Networks
☆92Updated 4 years ago
Alternatives and similar repositories for pipgcn:
Users that are interested in pipgcn are comparing it to the libraries listed below
- A PyTorch implementation of GCN with mutual attention for protein-protein interaction prediction☆60Updated 3 years ago
- a novel DTA predition method using graph neural network☆73Updated last year
- Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding☆30Updated last year
- NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions☆76Updated 3 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…☆96Updated 2 years ago
- Protein-compound affinity prediction through unified RNN-CNN☆140Updated 8 months ago
- Protein quality assessment using Graph Convolutional Networks☆28Updated 2 years ago
- This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep le…☆42Updated 5 years ago
- Computes a molecular graph for protein structures.☆58Updated last week
- MONN: a Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Pro…☆101Updated 4 years ago
- Database of Interacting Protein Structures (DIPS)☆98Updated last year
- ☆51Updated 7 months ago
- Generative Models for Graph-Based Protein Design☆270Updated 4 years ago
- Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "☆52Updated last year
- This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional …☆161Updated 4 years ago
- An up-to-date list of papers and code relating to progress in the burgeoning field of AI-Drug Discovery☆43Updated 5 years ago
- DeeplyTough: Learning Structural Comparison of Protein Binding Sites☆160Updated last year
- ☆128Updated 2 years ago
- ProteinGCN: Protein model quality assessment using Graph Convolutional Networks☆117Updated 7 months ago
- ☆81Updated 2 years ago
- Recurrent Geometric Network in Pytorch☆29Updated 4 years ago
- Protein-protein interaction sites prediction through combining local and global features with deep neural networks☆53Updated 5 years ago
- ☆35Updated 2 years ago
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures☆48Updated 3 years ago
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆59Updated 4 years ago
- Multi-Scale Representation Learning on Proteins (NeurIPS 2021)☆47Updated last year
- A geometric deep learning pipeline for predicting protein interface contacts. (ICLR 2022)☆63Updated 2 years ago
- Note that current version does not include search of very large metagenome data. For some proteins, metagenome data is important. We will…☆100Updated 3 years ago
- Help file for running the scripts to learn and evaluate graph convolution networks for epitope and paratope prediction☆32Updated 4 years ago
- Code for Fold2Seq paper from ICML 2021☆50Updated 2 years ago