PADME

Drug prediction framework

A deep learning-based framework for predicting drug-target interaction from protein descriptors

This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep learning.

GitHub

42 stars
5 watching
16 forks
Language: Python
last commit: over 7 years ago
Linked from 1 awesome list

cheminformaticsconvolutional-neural-networksdeep-learning

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
shen-lab/deepaffinityA deep learning framework for predicting protein-compound affinity from molecular sequences and structures137
bjoux2/deepdtis_dbnA Python framework for deep learning-based drug-target interaction prediction using a DBN architecture.49
fangpingwan/neodtiA deep learning framework for predicting new drug-target interactions by integrating neighbor information from heterogeneous networks75
muhaochen/seq_ppiA deep learning framework for predicting protein-protein interactions based on sequence data89
gist-csbl/deepconv-dtiA Python script for training and testing deep learning models to predict drug-target interactions73
hkmztrk/deepdtaA system that predicts drug-target binding affinity using convolutional neural networks and protein sequences.228
kexinhuang12345/deeppurposeA toolkit for molecular modeling and prediction tasks using deep learning988
astrazeneca/chemicalxA deep learning library for predicting the effects of combining two drugs719
atomistic-machine-learning/dtnnAn open-source Python framework for developing machine learning models to predict quantum-mechanical observables of molecular systems.78
zjulearning/graph_level_drug_discoveryA Python project that uses machine learning to improve the representation of molecules in drug discovery60
jaechanglim/gnn_dtiThis project implements a deep learning approach to predicting docking affinities for molecules with proteins66
fangpingwan/deepcpiA deep learning framework for large-scale in silico drug screening14
microsoft/0xdeca10bA framework for hosting and training machine learning models on a blockchain, enabling secure sharing and prediction without requiring users to pay for data or model updates.559
mhlee0903/multi_channels_pinnInvestigating neural networks for drug discovery using multiple chemical descriptors.3
lehgtrung/egfr-attA deep learning framework for predicting drug effects based on multi-input data using an attention mechanism.20