Shape based alignment approach is useful for LBDD which is not available for target protein structure. However there are few OSS to align molecules like OpenEye’s ROCS. Also GPU based tools are more limited. Recently I found attractive articles at ChemRxiv.ROSHAMBO: Open-Source Molecular Alignment and 3D Similarity Scoring Roshambo has not only CLI but alsoContinue reading “New cheminformatics package for Molecular Alignment and 3D Similarity Scoring #cheminformatics #rdkit #memo”
Tag Archives: LBDD
Compare shape and electrostatic similarity of molecules #RDKit #espsim #python
There are lots of way to define molecular similarity, for example fingerprint based, descriptor based, graph based, shape based etc. etc… In the 2D world, circular fingerprint based similarity is used in many case. However, 3D based similarity approach is also useful for drug design. As you now, OpenEye provides useful software named ‘ROCS’. ROCSContinue reading “Compare shape and electrostatic similarity of molecules #RDKit #espsim #python”
Probabilistic Random Forest approach to predict experimental value #RDKit #chemoinformatics #machine_learning
To build predictive model, input value(X) and target value(y) is required. But in the drug discovery area target value always has experimental error. So any experimental value (target value) may have uncertainly and it makes difficult to build predictive model. Recently Ola Engkvist group who is in AZ published interesting article in Jounral of chemoinformatics.Continue reading “Probabilistic Random Forest approach to predict experimental value #RDKit #chemoinformatics #machine_learning”