Final Project of Deep Learning for Healthcare Spring 2022 - Reproducing DeepDTA
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Updated
May 8, 2022 - Jupyter Notebook
Final Project of Deep Learning for Healthcare Spring 2022 - Reproducing DeepDTA
Using spectral graph theory to analyze two biological networks
Small competition project to evaluate several splitting methods for double cold splits of Drug-Target-Interaction datasets
FusionDTI utilises a Token-level Fusion module to effectively learn fine-grained information for Drug-Target Interaction Prediction.
An integrated drug-target bioactivity matrix across 52,498 chemical compounds and 467 kinase targets
Integrated View Predictive GAN for Drug-Target Indication Prediction
Addressing the class imbalance problem in deep learning-based drug discovery: a graph neural network to predict drug-target binding affinity of protein fibrils
Source code and dataset for paper "BNEMDI: a novel multiple features integrated model for miRNA-drug interaction prediction"
My Machine Learning Projects
A PyTorch-based system for highly accurate drug-target interaction predictions utilizing multi-modal large language models to discern structural affinities in drug-target pairs.
Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings
Electrophysiology Chemical Drug Signal Identification, Fentanyl data...
Automatic extraction of interacting compound-target pairs from ChEMBL.
Official implementation of "Weighted Weighted Edit Distance optimized using Genetic Algorithm for SMILES-based Compound Similarity, PAAA(SCIE)".
De novo target prediction by chemical similarity-guided network-based inference
Code to accompany the paper: ”ProteinNetworkSight efficiently transforms co-expressed protein lists into interactive networks and offers suggestions for their modifications”
NeuRank: Learning to Ranking with Neural Networks for Drug-Target Interaction Prediction
Exploring deep learning for predicting the binding affinity between a small molecule (i.e. a drug) and a protein.
A powerful abstraction of gene databases
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