Code to accompany the paper: ”ProteinNetworkSight efficiently transforms co-expressed protein lists into interactive networks and offers suggestions for their modifications”
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Updated
Jun 13, 2024
Code to accompany the paper: ”ProteinNetworkSight efficiently transforms co-expressed protein lists into interactive networks and offers suggestions for their modifications”
Targeted and non-targeted anticancer drugs and drug regimens
Addressing the class imbalance problem in deep learning-based drug discovery: a graph neural network to predict drug-target binding affinity of protein fibrils
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Providing interactions between drugs and genes sourced from a variety of publications and knowledgebases
Official implementation of DrugGEN
Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings
FusionDTI utilises a Token-level Fusion module to effectively learn fine-grained information for Drug-Target Interaction Prediction.
A powerful abstraction of gene databases
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
Using ESM2 protein embeddings and MolecularTransformer drug embeddings to train a linear classifier to predict potential drug-targets interactions
HyperPCM: Robust task-conditioned modeling of drug-target interactions
Automatic extraction of interacting compound-target pairs from ChEMBL.
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.
ANN4EEG is a convolutional neural network toolkit for EEG-mediated drug-target interaction prediction. This approach for drug-target interaction prediction can explain the mechanisms underlying complicated drug actions, as it allows the identification of similarities in the mechanisms of action and effects of psychotropic drugs.
DeepDrugDomain: A versatile Python toolkit for streamlined preprocessing and accurate prediction of drug-target interactions and binding affinities, leveraging deep learning for advancing computational drug discovery.
My Machine Learning Projects
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images-with test scripts
Integrated View Predictive GAN for Drug-Target Indication Prediction
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