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A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
ddi
ppi
qsar
covid19
toolkit
side-effects
deep-learning
bioinformatics
drug-discovery
dti-prediction
drug-repurposing
repurposing-drugs
virtual-screening
drug-drug-interaction
drug-target-interaction
drug-property-prediction
drug-target-interactions
protein-function-prediction
protein-protein-interaction
Created
2020-03-19
529 commits to master branch, last one 5 months ago
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Created
2018-07-10
444 commits to master branch, last one 2 years ago
Deep Reinforcement Learning for de-novo Drug Design
Created
2018-04-26
160 commits to master branch, last one 2 years ago
QSARtuna: QSAR model building with the optuna framework
Created
2022-01-21
82 commits to master branch, last one about a month ago
Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
Created
2023-01-22
37 commits to main branch, last one 2 months ago
An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.
Created
2014-02-07
469 commits to master branch, last one 11 months ago
Chemical representation learning paper in Digital Discovery
Created
2020-09-09
49 commits to master branch, last one 6 months ago
A tool for creating Quantitative Structure Property/Activity Relationship (QSPR/QSAR) models.
Created
2023-01-13
2,562 commits to main branch, last one 2 months ago