A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
-
Updated
Jun 10, 2024 - Jupyter Notebook
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
An official Molecule Transformer Drug Target Interaction (MT-DTI) model
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
Official implementation of DrugGEN
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
Repository for the HackBio'2021 Internship for Team Drug-Development-A
Software for detecting non-covalent interactions formed within complexes of nucleic acids with ligands.
ISCMF: Integrated Similarity-Constrained Matrix Factorization for Drug-Drug Interaction Prediction
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…
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.
Secure multiparty computation for privacy-preserving drug discovery
HyperPCM: Robust task-conditioned modeling of drug-target interactions
Integrated View Predictive GAN for Drug-Target Indication Prediction
Fetch pharmacological knowledge on chemical compounds and squeeze it into semantic triples. For analysis of chemical screens and training and evaluation of algorithms.
A Knowledge Graph to Illuminate the Druggable Genome
This is the repository for reproducing results in "APRILE: Exploring the Molecular Mechanisms of Drug Side Effects with Explainable Graph Neural Networks".
Using ESM2 protein embeddings and MolecularTransformer drug embeddings to train a linear classifier to predict potential drug-targets interactions
Medich is an application that raises the problem of satisfaction related to BPJS, especially in the lower classes, with Medich being able to solve all these problems. Medich has a Donation feature that will be very useful for the Community
M.Sc-final-project
Add a description, image, and links to the drug-target-interactions topic page so that developers can more easily learn about it.
To associate your repository with the drug-target-interactions topic, visit your repo's landing page and select "manage topics."