Integration of molplotly and Flask for developing chemoinformatics web app #RDKit #molplotly #Flask

Some days ago, @WillMcCorki1 introduced really cool package named molplotly. Thanks for sharing the information. Molplotly is add-on to ploty for rendering molecular image on mouseover like TIBCO Spotfire. The package(https://github.com/wjm41/molplotly) uses JupyterDash for integrating JupyterNotebook so it’s easy to embed interactive chemoinformatics chart in JupyterNotebook. However, it’s difficult to use the package from outsideContinue reading “Integration of molplotly and Flask for developing chemoinformatics web app #RDKit #molplotly #Flask”

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Easy way to visualize SMARTS #chemoinformatics #memo

SMARTS which is a language for describing molecular patterns like regular expression for NLP is really useful for chemoinformatician. However it’s difficult to understand due to difficulty of visualization SMARTS query. As far as I know, there are few software which can visualize beautiful SMARTS pattern. BioSolveIT provides unique SMARTS editor but it’s required commercialContinue reading “Easy way to visualize SMARTS #chemoinformatics #memo”

Let’s update MMPDB #RDKit #mmpdb #Chemoinformatcs

Matched molecular pairs are popular approach to transform molecules with prior knowledge of medicinal chemistry. MMPDB is useful open source package for managing MMP dataset which is derived from GSK  under the 3-clause BSD license.  It is easy to use and work really fast. I love it the package. However current version of MMPDB supportsContinue reading “Let’s update MMPDB #RDKit #mmpdb #Chemoinformatcs”

Define a function after the request #Flask #memo #python

I love flask and django for making web app and often use Flask for web app development. Sometime the app will serve files after getting user request. In this case, static files which are generated by the app will be stored in static folder. And the folder will store lots of files. So I wouldContinue reading “Define a function after the request #Flask #memo #python”