Here are
41 public repositories
matching this topic...
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Updated
Jul 1, 2021
Jupyter Notebook
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Updated
May 16, 2021
Python
Deep Reinforcement Learning for de-novo Drug Design
Updated
Mar 4, 2019
Jupyter Notebook
An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.
Calculate Sterimol Parameters from Sructure Input/Output Files
Updated
Nov 26, 2020
Python
Generate Boltzmann-weighted Sterimol Steric Parameters for Conformationally-Flexible Substituents
Updated
Apr 16, 2021
Python
MolEnc: a molecular encoder using rdkit and OCaml.
Updated
Jul 12, 2021
OCaml
Automated framework for the curation of chemogenomics data and to develop QSAR models for virtual screening using the open-source KNIME software
Reference implementation of the Vanishing Ranking Kernels (VRK) method
Updated
Mar 19, 2021
OCaml
Modeling framework for eTRANSAFE project
Updated
Aug 6, 2021
Python
QSAR models and putative agents identified against SARS-CoV-2
Updated
Jun 9, 2021
Jupyter Notebook
Simple web application for prediction of reaction rate constant through machine learning models using molecular fingerprints.
Updated
Mar 24, 2021
Python
Reference implementation of the Distance-Based Boolean Applicability Domain for HTS datasets
Updated
Aug 4, 2020
OCaml
Mixed Integer Piecewise Regression Algorithm with Regularisation
Updated
Oct 23, 2020
Python
A cheminformatics package to perform Applicability Domain of molecular fingerprints based in similarity calculation.
Updated
Aug 19, 2021
Jupyter Notebook
Classification models for hemolytic nature and hemolytic activity predictions in peptide/protein sequences
Updated
Jun 8, 2021
Jupyter Notebook
Secure multiparty computation for privacy-preserving drug discovery
Updated
Dec 24, 2019
Python
PyTorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
Updated
Mar 4, 2021
Python
A high-quality hand-curated logD7.4 dataset of 1,130 compounds
Toxicity prediction models
Updated
Aug 18, 2021
Python
The backend services of the GenUI framework, which provides implementation of a REST API and GUI for molecular generation, QSAR modelling and chemical space visualization.
Updated
Jul 26, 2021
Python
Master Thesis Unisa-Ensicaen
Updated
Jun 18, 2021
Jupyter Notebook
Updated
Jan 16, 2020
Python
This repository contains a QSAR model that predicts the ability of a chemical compound to inhibit the gene associated with Alzheimer's, Beta-Secratese 1
Updated
Mar 22, 2021
Jupyter Notebook
A machine learning app to assess the aggregation potential of Small Colloidally-Aggregating Molecules (SCAMS).
Updated
Jun 9, 2021
Jupyter Notebook
R implementation of QSAR (Quantitative Structure-Activity Realtionship) trees to predict the bioconcentration of chemical compounds.
LigEGFR: Spatial graph embedding and molecular descriptors assisted bioactivity prediction of ligand molecules for epidermal growth factor receptor on a cell line-based dataset
Training data for "Prediction of clinically relevant drug-induced liver injury from structure using machine learning" (Hammann et al., J Appl Toxicol . 2019 Mar;39(3):412-419)
Tools for converting Biobyte QSAR database to SQL
Updated
Jun 21, 2018
Perl
Data and code for training machine learning regression models on ALK-5 pIC50 data.
Updated
Dec 24, 2020
Python
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