Predict whether the protien sequence and the drug SMILES will be interact with each other
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Updated
Apr 25, 2019 - Python
Predict whether the protien sequence and the drug SMILES will be interact with each other
Integrated View Predictive GAN for Drug-Target Indication Prediction
Secure multiparty computation for privacy-preserving drug discovery
M.Sc-final-project
For this problem, we proposed the use of bidirectional-LSTM’s(Long Short Term Memory) with 1-D CNN layer to classify patient notes at character level and at word level. The 1-D CNN is employed to scale back the training time. In order to improve the performance, we will also feed the network combined word embedding consisting of Pre-trained word…
An official Molecule Transformer Drug Target Interaction (MT-DTI) model
D2MD: a DNA-Drug Molecular Docking Suite
ISCMF: Integrated Similarity-Constrained Matrix Factorization for Drug-Drug Interaction Prediction
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
Code for Binding Affinity Prediction with Graph Neural Networks
NeuRank: Learning to Ranking with Neural Networks for Drug-Target Interaction Prediction
Repository for the HackBio'2021 Internship for Team Drug-Development-A
Two matrix factorisation methods to solve drug-target interaction problem
R scripts included in a bioinformatics pipeline for differential PGx analysis of cancer drug response
Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
An integrated drug-target bioactivity matrix across 52,498 chemical compounds and 467 kinase targets
Source code and dataset for paper "BNEMDI: a novel multiple features integrated model for miRNA-drug interaction prediction"
Voting-averaged ensemble regression and hybrid neural networks to investigate potent leads against colorectal cancer
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