Make chemoinformatics workflow by Kinme with user defined conda envrionment #Knime #Chemoinforamtics #memo

I think workflow tool is useful for many chemoinformatician such as Knime, Pipeline Pilot(PP) and Orange. In my knowledge, it’s difficult to use user defined conda env in PP. Of course these workflow tools provides enough components to do many tasks. But I would like to have more flexibility to build chemoinformatics pipelines. Recently I

Useful package for virtual screening #chemoinformatics #RDKit

Virtual Screening is important task of drug discovery projects. There are lots of approach for example Finger print based, substructure based and shape based screening. All approaches listed above is not only used in SBDD but also LBDD. And there are lots of apprications to do these tasks. I wrote scripts for these task and

Call RDKit from Rust with conda env ver2 #RDKit #RDKit-sys #Rust #Chemoinformatics

To use rdkit from Rust, I introduced rdkit-sys before. And fortunately recent version of rdkit-sys cleat supports rdkit-env. It’s worth to use conda-env to build rdkit-sys because user don’t need to build rdkit from source code. Following code is almost same as my previous post but I would like to share it. At first, I

Generate molecules with Link-invent #RDKit #RINVENT #chemoinformatics

General molecular generator with deep learning approach is difficult to fix substructure. But common SAR expansion by medchem is focus on specific part such as terminal part, core and linker. Linker is defined as a part which connect parts of molecules. Linker is important of drug design and is called scaffold when the linker connets