lifanchen-simm / transformerCPI
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
☆135Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for transformerCPI
- a novel DTA predition method using graph neural network☆70Updated 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…☆58Updated last year
- MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)☆188Updated 2 years ago
- Predicting Drug Protein Interaction using Quasi-Visual Question Answering System☆110Updated 3 months ago
- ☆126Updated 2 years ago
- This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional …☆159Updated 3 years ago
- Open source code for TankBind. Galixir Tenchnologies☆150Updated last year
- MONN: a Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Pro…☆100Updated 4 years ago
- Protein-compound affinity prediction through unified RNN-CNN☆137Updated 4 months ago
- ☆44Updated 2 months ago
- a deep learning architecture for protein-ligand binding affinity prediction☆64Updated 10 months ago
- ESM-GearNet for Protein Structure Representation Learning (https://arxiv.org/abs/2303.06275)☆79Updated last year
- ☆24Updated 8 months ago
- ☆118Updated last year
- 小白入门DTA方向,GraphDTA作为经典的DTA模型,对于python基础不好,深度学习代码实操不强者,本github将代码细致的进行注释阐述,旨在记录学习过程,帮助更多入门者尽快入门!☆17Updated last year
- ☆147Updated 3 years ago
- Generative Models for Graph-Based Protein Design☆262Updated 3 years ago
- Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".☆72Updated 2 years ago
- HyperAttentionDTI: improving drug–protein interaction prediction by sequence-based deep learning with attention mechanism. This repositor…☆39Updated 3 years ago
- ☆93Updated 3 months ago
- repo for DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model☆199Updated 6 months ago
- Diffusion model based protein-ligand flexible docking method☆91Updated 3 weeks ago
- ☆49Updated 3 months 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…☆89Updated last year
- open source repository☆125Updated 11 months ago
- A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.☆29Updated last year
- ☆43Updated 4 years ago
- ☆75Updated 2 years ago
- DockQ is a single continuous quality measure for Protein, Nucleic Acids and Small Molecule Docking Models☆224Updated 2 months ago
- ☆159Updated last month