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Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
Drug-Drug Similarity Comparison in Drug-Target Interaction Prediction Problem
Implementation of DT2Vec (a novel drug-target interaction via link prediction and network embedding) in Python and R
Drug-Target Interaction Prediction Using Semi-Bipartite Graph Model and Deep Learning
This is a tool for identifying the drug-target interaction in cellular networking.The original website: https://bioinfo.jcu.edu.cn/dtibert is under maintenance. We are therefore resubmitting a new website: http://121.36.221.79/dtibert/, so sorry for the inconvenience caused.
A help file for DTI-CDF for DTIs prediction.
A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network
Drug-Target Interaction Prediction: End-to-End Deep Learning
Drug-Target Interaction prediction using unifying of graph regularized nuclear norm with bilinear factorization
Predicting drug-target interaction using multi-label learning with community detection method (DTI-MLCD)
Drug-Target Interactive Prediction Model using ChemBERTa and ProtBert
A PPI network driven approach to drug-target-interaction prediction using deep graph learning methods.
This repository provides an implementation of the DTi2Vec tool, to identify Drug-Target interaction using network embedding and ensemble learning
A Network Integration Approach for Drug-Target Interaction Prediction
DTITR: End-to-End Drug-Target Binding Affinity Prediction with Transformers
Souces codes and datasets of paper
Extended Connectivity Interaction Features
Water Network-Augmented Two-State model for Protein−Ligand Binding Affinity Prediction
A deep collaborative learning model for DTIs prediction
Predicting Drug-Target Interactions based on the Ensemble Models of Multiple Feature Pairs
A scoring function based on Extra Trees algorithm for predicting ligand-protein binding affinity
Explainable Deep Drug-Target Representations for Binding Affinity Prediction
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.