gzwhxu Goto Github PK

camp

predicting peptide-protein interactions

deepdrug3d

A convolutional neural network for classifying binding pockets based on spatial and chemical information extracted from the pockets.

deeppurpose

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

diagnosis-via-speech

Short-Term Goal: to effectively apply deep learning to speech data. Long-term Goal: to diagnose various speech disorders from speech input via mobile app.

drkg

A knowledge graph and a set of tools for drug repurposing

drug-drug-interaction-prediction

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

drugcell

A visible neural network model for drug response prediction

drugs-recommendation-using-reviews

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

drugvqa

Predicting Drug Protein Interaction using Quasi-Visual Question Answering System

geomol

gmpnn-cs

ilearnplus

iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of automated machine-learning pipelines for computational analysis and predictions using nucleic acid and protein sequences.

lstm_chem

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

moses

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

nedtp

parkinson-disease-classification

A Machine Learning Approach for the Diagnosis of Parkinson's Disease via Speech Analysis

python-gcnmk

Predicting potential drug-drug interactions.

raneddi

tensorflow_1

tgsa

PyTorch implementation of <<TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation>>

transformer-m

[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)