One of the more popular blog post based on monthly visitors is the old Create a Simple Object Oriented GUIDE GUI in MatLAB, but since I don’t
Better Deep Learning Neural Networks with SMILES Enumeration of Molecular Data
The process of expanding an otherwise limited dataset in order to more efficiently train a neural network is known as Data Augmentation For images there have been
Tune your deep tox neural network with free tools
In another blog post I demonstrated how to build a deep neural network with Keras in Python to model some toxicity dataset from the Tox21 challenge. The
A deep Tox21 neural network with RDKit and Keras
I found some interesting toxicology datasets from the Tox21 challenge, and wanted to see if it was possible to build a toxicology predictor using a deep neural
A deeper look into chemical space with neural autoencoders
In the last blogpost the battle tested principal components analysis (PCA) was used as a dimensionality reduction tool. This time we’ll take a deeper look into chemical
Peeking into the chemical space using free tools
As covered before, chemical space is huge. So it could be nice if this multidimensional molecular space could be reduced and visualized to get an idea about
Molecular neural network models with RDKit and Keras in Python
Neural networks are interesting models underlying much of the newest AI applications and algorithms. Recent advances in training algorithms and GPU enabled code together with publicly available
Teaching Computers Molecular Creativity
Neural Networks are interesting algorithms, but sometimes also a bit spooky. In this blog post I explore the possibilities for teaching the neural networks to generate completely
Wildcard scoring function beaten by rDock!
Inspired by the success reported in my last blog post [Link] about the open source docking program rDock [http://rdock.sourceforge.net], I decided to investigate the docking accuracy performance
Cross docking test with rDock
Last time i tested the basics of the docking program rDock; Installation, basic setup and docking, as well as had a brief walkthrough about how to post-process