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hisif-dta

hnetpa-dti

hpyerattentiondti

HyperAttentionDTI: improving drug–protein interaction prediction by sequence-based deep learning with attention mechanism. This repository contains the source code and the data.

iedgedta

Integrated edge information and 1D graph convolutional neural networks for binding affinity prediction

igrldti

iifdti

the codes for paper "IIFDTI: predicting drug target interaction through interactive and independent features based on attention mechanism"

imchgan

This repository contains the code and datasets for the paper IMCHGAN: Inductive Matrix Completion with Heterogeneous Graph Attention Networks for Drug-Target Interactions Prediction

ingenii-quantum-hybrid-networks

interactiongraphnet

InteractionGraphNet: a Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein-Ligand Interaction Prediction and Large-scale Structure-based Virtual Screening

kcdta

kida

kinasepredictpro

kld2

kmol-st

lds-cnn

learning-from-docked-poses

lg-dti

Local and Global view for Drug-Target Interaction Predictions

lgbmdf

lgn

lrspnm

LRSpNM is a novel matrix completion method, which utilizes Schatten-p norm minimization model combined with Laplacian regularization terms to improve prediction performance in the new drug/target cases. The code in this package implements LRSpNM for drug-target interaction prediction, which is implemented in Matlab2016a.

luna

matt_dti

mbp

mcanet

Source code of paper: "MCANet: Shared-weight-based MultiheadCrossAttention network for drug-target interaction prediction"

mccdti

Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving

mcl-dti

mcn_model

mddti

mdeepred

Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery

mdl-cpi

MDL-CPI: multi-view deep learning model for compound-protein interaction prediction