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Table of Contents

Update 03_2019: forked and tried to translate to english. Corrections are welcome.

Update 01_2020: updating the information to mimic original.

  • What is RDKit?

  • Target audience

  • About the code in this book

  • Acknowledgments

  • bonus

  • License

  • About Anaconda

  • How to install Anaconda

  • Build virtual environment and install packages

  • Description of the installed package

  • More about Conda

  • Python basics

  • Use it conveniently with the Jupyter notebook

  • Machine learning with Python

  • ChEMBL

  • PubChem

  • Search for desired information with ChEMBL

  • Other useful databases

  • What is SMILES?

  • Let’s draw the structure

  • How to handle multiple compounds at once?

  • Try hetero shuffling

  • What does it mean that compounds are similar?

  • Calculate similarity

  • Virtual screening

  • Clustering

  • Structure Based Drug Design (SBDD)

  • Classification by major skeleton (MCS)

  • Matched Molecular Pair and Matched Molecular Series

  • Visualize MMP networks using Cytoscape

  • Chemical Spaceとは

  • Mapping using tSNE

  • Consider the cause of the effect (Classification problem)

  • Predict the efficacy of drugs (regression problem)

  • Model applicability (applicability domain)

  • About TensorFlow and Keras

  • Google colab

  • Let’s install

  • Predictive model construction using DNN

  • Devising a descriptor (neural fingerprint)

  • Final remarks and further reading

License

This document is copyright © 2019 by @fmkz___ and @iwatobipen

CC-BY-NC-SA