seq_ppi
Protein interaction predictor
A deep learning framework for predicting protein-protein interactions based on sequence data
This is the repository for PIPR. This repository contains the source code and links to some datasets used in the ISMB/ECCB-2019 paper "Multifaceted Protein-Protein Interaction Prediction Based on Siamese Residual RCNN".
89 stars
4 watching
26 forks
Language: Python
last commit: almost 2 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
lishuya17/monn | A framework for predicting pairwise non-covalent interactions and binding affinities between compounds and proteins using machine learning | 100 |
shen-lab/deepaffinity | A deep learning framework for predicting protein-compound affinity from molecular sequences and structures | 137 |
lifanchen-simm/transformercpi | Develops a deep learning model to predict compound-protein interactions by leveraging sequence-based learning and self-attention mechanisms | 134 |
masashitsubaki/cpi_prediction | CPI prediction tool using graph neural networks and convolutional neural networks | 159 |
jaechanglim/gnn_dti | This project implements a deep learning approach to predicting docking affinities for molecules with proteins | 66 |
fangpingwan/neodti | A deep learning framework for predicting new drug-target interactions by integrating neighbor information from heterogeneous networks | 74 |
hkmztrk/deepdta | A system that predicts drug-target binding affinity using convolutional neural networks and protein sequences. | 225 |
simonfqy/padme | A deep learning-based framework for predicting drug-target interaction from protein descriptors | 42 |
mrgemy95/visual-interaction-networks-pytorch | An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes. | 166 |
atomistic-machine-learning/dtnn | An open-source Python framework for developing machine learning models to predict quantum-mechanical observables of molecular systems. | 77 |
hicai-zju/promptprotein | An implementation of a protein language model that uses prompts to learn from multi-level structural information in proteins. | 32 |
bjoux2/deepdtis_dbn | A Python framework for deep learning-based drug-target interaction prediction using a DBN architecture. | 48 |
kexinhuang12345/deeppurpose | A toolkit for molecular modeling and prediction tasks using deep learning | 974 |
gist-csbl/deepconv-dti | A Python script for training and testing deep learning models to predict drug-target interactions | 71 |
poio-nlp/pressagio | A Python library that uses n-gram models to predict text completions | 19 |