There are 9 repositories under drug-target-interactions topic.
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
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
Official implementation of DrugGEN
Targeted and non-targeted anticancer drugs and drug regimens
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.
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
Predict whether the protien sequence and the drug SMILES will be interact with each other
Repository for the HackBio'2021 Internship for Team Drug-Development-A
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.
Integrated View Predictive GAN for Drug-Target Indication Prediction
A Knowledge Graph to Illuminate the Druggable Genome
Secure multiparty computation for privacy-preserving drug discovery
Official Implementation of Compass
Automatic extraction of interacting compound-target pairs from ChEMBL.
Using ESM2 protein embeddings and MolecularTransformer drug embeddings to train a linear classifier to predict potential drug-targets interactions
M.Sc-final-project
Fetch pharmacological knowledge on chemical compounds and squeeze it into semantic triples. For analysis of chemical screens and training and evaluation of algorithms.
A powerful abstraction of gene databases
Official implementation of "Weighted Weighted Edit Distance optimized using Genetic Algorithm for SMILES-based Compound Similarity, PAAA(SCIE)".
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 word2vec 100 dimension word embedding trained on the Twitter ADR Dataset database and character embedding generated by a Char-CNN for Named Entity Recognition
This is the repository for reproducing results in "APRILE: Exploring the Molecular Mechanisms of Drug Side Effects with Explainable Graph Neural Networks".
Exploring deep learning for predicting the binding affinity between a small molecule (i.e. a drug) and a protein.
Electrophysiology Chemical Drug Signal Identification, Fentanyl data...