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rxdcpu1's Projects

3d-prot-dta icon 3d-prot-dta

3DProtDTA: a deep learning model for drug-target affinity prediction based on residue-level protein graphs

adagrmfc icon adagrmfc

Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug-target interaction prediction

affinity2vec icon affinity2vec

Drug-target binding affinity prediction using representation learning, graph mining, and machine learning

attentiondta_tcbb icon attentiondta_tcbb

AttentionDTA: drug--target binding affinity prediction by sequence-based deep learning with attention mechanism

attentionsitedti icon attentionsitedti

This is The repository for Paper "AttentionSiteDTI: Attention Based Model for Predicting Drug-Target Interaction Using Graph Representation of Ligands and 3D Structure of Protein Binding Sites"

autosf icon autosf

Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022

bacpi icon bacpi

A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.

bap icon bap

Binding Affinity Prediction for Protein-ligand Complexes

bapa icon bapa

BAPA preprocessing scripts and model

bcpaff icon bcpaff

Exploring protein-ligand binding affinity prediction with electron density-based geometric deep learning

bridgedpi icon bridgedpi

BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions

cafe_plugin icon cafe_plugin

a VMD plugin for binding affinity prediction using end-point free energy methods

capbm-dti icon capbm-dti

CapBM-DTI: A novel capsule network-based method integrating BERT and MPNN for prediction of drug-target interaction

coadti icon coadti

Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2

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