DeepDTIs_DBN

Drug predictor

A Python framework for deep learning-based drug-target interaction prediction using a DBN architecture.

Deep learning-based drug-target interaction prediction / Deep belief net (DBN) based on Theano

GitHub

48 stars
8 watching
21 forks
Language: Python
last commit: over 5 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
fangpingwan/neodti A deep learning framework for predicting new drug-target interactions by integrating neighbor information from heterogeneous networks 74
gist-csbl/deepconv-dti A Python script for training and testing deep learning models to predict drug-target interactions 71
atomistic-machine-learning/dtnn An open-source Python framework for developing machine learning models to predict quantum-mechanical observables of molecular systems. 77
simonfqy/padme A deep learning-based framework for predicting drug-target interaction from protein descriptors 42
hkmztrk/deepdta A system that predicts drug-target binding affinity using convolutional neural networks and protein sequences. 225
luoyunan/dtinet A computational pipeline to predict novel drug-target interactions from heterogeneous networks 174
jaechanglim/gnn_dti This project implements a deep learning approach to predicting docking affinities for molecules with proteins 66
shen-lab/deepaffinity A deep learning framework for predicting protein-compound affinity from molecular sequences and structures 137
bplaye/nnk_dti An open-source project evaluating deep learning methods for predicting ligands and drugs in chemogenomics 3
kexinhuang12345/deeppurpose A toolkit for molecular modeling and prediction tasks using deep learning 974
lehgtrung/egfr-att A deep learning framework for predicting drug effects based on multi-input data using an attention mechanism. 20
astrazeneca/chemicalx A deep learning library for predicting the effects of combining two drugs 714
thinng/graphdta Predicts drug-target binding affinity using graph neural networks 222
lishuya17/monn A framework for predicting pairwise non-covalent interactions and binding affinities between compounds and proteins using machine learning 100
paularindam/chemixnet A deep learning framework for predicting chemical properties using mixed neural architectures and multiple molecular representations 1