QSARtuna: QSAR model building with the optuna framework
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Updated
Jul 4, 2024 - Jupyter Notebook
QSARtuna: QSAR model building with the optuna framework
MolEnc: a molecular encoder using rdkit and OCaml.
A package to perform fingerprints from spectroscopy datas.
A tool for creating Quantitative Structure Property Relationship (QSPR) models.
pip install analoguesplit
A modular inverse QSAR pipeline
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Automated QSAR based on multiple small molecule descriptors
🧪DrugHunter - a web-based application for predicting the pharmacological activity of new drugs
Estimate maximum performance bounds based on experimental errors for ML datasets
Pharmacokinetic property prediction with QSAR modeling
Chemical representation learning paper in Digital Discovery
👨🔬 A command-line application that utilizes the RDKit library to compute molecular descriptors and fingerprints, aiding in the analysis and characterization of chemical structures
Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
Evaluation Framework for AI-driven Molecular Design of Multi-target Drugs
Modeling framework for eTRANSAFE project
Descriptive analysis and QSAR modelling for tox_21 datasets
drugdesign.org source of truth
A new python package to visualize molecules in dots hover
Supplementary repository to the publication "Hybrid machine learning and experimental studies of antiviral potential of ionic liquids against P100, MS2, and Phi6"
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