There are 2 repositories under physicochemical-properties topic.
The purpose of this work is the modeling of the wine preferences by physicochemical properties. Such model is useful to support the oenologist wine tasting evaluations, improve and speed-up the wine production. A Neural Network was trained using Tensorflow, which was later tuned in order to achieve high-accuracy quality predictions.
ProtParam based program that outputs the id, pI, charge and molecular weight of each protein
Prediction of the RMSD (Root Mean Square Deviation) of a decoy set using Physicochemical Properties of Protein Tertiary Structure Data Set using Machine Learning
Physicochemical Property data extraction from small molecule
Contains relevant project files to publicly available tautomer database "Tautobase" for DataWarrior