I’ve been working on a project intermittently for some time, and I recently packaged it up and published it on GitHub, hoping it could be useful to
Generating Unusual Molecules with Genetic Algorithms
I’ve long been working with generative models, mostly centered around SMILES-based deep learning models. However, I’ve been wanting to try out genetic algorithms for some time. Using
Non-conditional De Novo molecular Generation with Transformer Encoders
We’ve known since 2016 that LSTM networks can be used to generate novel and valid SMILES strings of novel molecules after being trained on a dataset of
Using GraphINVENT to generate novel DRD2 actives
I have been writing a lot about how to use SMILES together with deep learning architectures such as RNNs and LSTM networks to perform various cheminformatic and
Building a simple SMILES based QSAR model with LSTM cells in PyTorch
Last blog-post I showed how to use PyTorch to build a feed forward neural network model for molecular property prediction (QSAR: Quantitative structure-activity relationship). RDKit was used
Building a simple QSAR model using a feed forward neural network in PyTorch
In my previous blogposts I’ve entirely been using Keras for my neural networks. Keras as a stand-alone is now no longer active developed, but are instead now
Master your molecule generator 2. Direct steering of conditional recurrent neural networks (cRNNs)
Long time ago in a GPU far-far away, the deep learning rebels are happy. They have created new ways of working with chemistry using deep learning technology
Learn how to make a jupyter notebook widget for annotation of atom properties
Not so long ago Greg Landrum published a blog post with an example of how the SVG rendering from RDKit in a jupyter notebook can be
rdEditor: An open-source molecular editor based using Python, PySide2 and RDKit
At the RDKit UGM 2018 in Cambridge I made a lightning talk where I show cased rdEditor. I’ve wanted to write a bit about it for some
Learn how to improve SMILES based molecular autoencoders with heteroencoders
Earlier I wrote a blog post about how to build SMILES based autoencoders in Keras. It has since been a much visited page, so the topic seems